Function And Java Class You Can get from Below Link... https://github.com/arulxaviers/Oracle_PLSQL_SHA_256_512_Encryption A Complete Brief Video about How to use Oracle Database Encryption By Using SHA 256 Bit & 512 Bit Algorithms? How to use Oracle SHA 256 Bit & 512 Bit Data Encryption Algorithms? Oracle Data Encryption Database Encryption dbms_crypto.hash example 11g dbms_crypto.hash sha256 dbms_crypto.hash invalid identifier dbms_crypto.hash 12c dbms_crypto.encrypt example encryption and decryption in oracle 11g sys.dbms_crypto.hash example SHA 256 Bit SHA 512 Bit Encryption
Views: 1307 Oracle PL/SQL World
View all our FREE database tutorials at http://skillbuilders.com/free-oracle-tutorials. Oracle Transparent Data Encryption (TDE) is a fantastic built-in security feature with Oracle Database Enterprise Edition. However, in this free tutorial, Oracle Master DBA John Watson will demonstrate a technique for building your own transparent data encryption - on Standard Edition!
Views: 5393 SkillBuilders
Why do we wish to reduce a long list to a short one? How to do it, so that the short list will identify the long list. How to do it so that it is impossible to identify the long list from the short one, and the implications of the fact that many long lists share the very same short list. Hashing configurations: straight encryption, MD4, MD5, SHA-1, SHA-2.
Views: 143253 Gideon Samid
This course has been designed to impart the in-depth knowledge about the partitioning types and architecture in the Oracle RDBMS. For more information on this course, please visit https://www.koenig-solutions.com/oracle-database-12-c-implement-partitioning-training.aspx
Views: 87 Koenig Solutions
Implementing database security - Database transparent encryption (TDE), TDE Process, Implementing TDE For Students of B.Tech, B.E, MCA, BCA, B.Sc., M.Sc., Courses - As Per IP University Syllabus and Other Engineering Courses
Views: 2626 Easy Engineering Classes
Learn how to create a database of type Btree and Hash in the Berkeley DB GUI. ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 451 Oracle Learning Library
Want all of our free Oracle videos? Download our free iPad app at http://itunes.apple.com/us/app/video-training-courses-from/id418130423?mt=8 http://www.infiniteskills.com/training/learning-oracle-database-11g.html Oracle professional Lewis Cunningham helps demonstrate transparent data encryption techniques in this hands-on tutorial from InfiniteSkills. More free tips can be found from the 124-lesson course on the InfiniteSkills Oracle training page. YouTube: https://www.youtube.com/user/OreillyMedia Facebook: https://www.facebook.com/OReilly/?fref=ts Twitter: https://twitter.com/OReillyMedia Website: http://www.oreilly.com/
Views: 7444 O'Reilly - Video Training
Presented by by Ian Bjorhovde Sadly, data breaches have become an all too common occurrence, and have the potential to cost you millions of dollars. This presentation will cover the “Five Ws” of keeping your DB2 data safe with encryption: Why encrypt your database? Where should you encrypt your data? Who is responsible for managing encryption? What options do you have for encryption? How to encrypt? Ian Bjorhovde is a senior consultant for DataProxy LLC, and is based in Phoenix, Arizona. He has worked in the IT industry for nearly 20 years and has spent the last 15 years as a consultant developing and supporting large DB2 databases for clients in many different industries. Ian is an IBM Gold Consultant, an IBM Champion for Information Management, a volunteer for the International DB2 Users Group, and a DB2 Certified Advanced Database Administrator (DB2 10.1 for Linux, UNIX and Windows). He is the co-host of the Whole Package Cache Podcast, and has presented at many RUG, IDUG and IBM conferences.
Views: 856 IDUG: International Db2 Users Group
In this video we look at basic password encryption and set up a table in a mySQL database to support a password-protected admin section. Files can be found at: https://www.dropbox.com/sh/jbe5ai9wkn0pofq/AAAYA4SGHfDYCWHjZhggLaj1a?dl=0
Views: 6842 Phil Adams
This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx
Views: 774569 Paul Programming
My book "Patterns in Data Management" is now available both as an ebook or a print book (with color graphics!). See: http://amzn.to/1Ts3rwx This book is not a standard textbook on database techniques. This book was written extending and complementing preexisting educational videos (including this one). Video for my inverted classroom "Database Systems". The complete list of videos, slides, and additional material is (will be) available at http://datenbankenlernen.de Computer Science, Saarland University: Bachelor (in German): http://www.cs.uni-saarland.de/index.p... Master (in English): http://www.cs.uni-saarland.de/index.p... Ph.D./Grad School: http://gradschool.cs.uni-saarland.de/
Views: 19317 Prof. Dr. Jens Dittrich
What is RANDOM ORACLE? What does RANDOM ORACLE mean? RANDOM ORACLE meaning - RANDOM ORACLE definition - RANDOM ORACLE explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ In cryptography, a random oracle is an oracle (a theoretical black box) that responds to every unique query with a (truly) random response chosen uniformly from its output domain. If a query is repeated it responds the same way every time that query is submitted. Stated differently, a random oracle is a mathematical function chosen uniformly at random, that is, a function mapping each possible query to a (fixed) random response from its output domain. Random oracles as a mathematical abstraction were firstly used in rigorous cryptographic proofs in the 1993 publication by Mihir Bellare and Phillip Rogaway (1993). They are typically used when the cryptographic hash functions in the method cannot be proven to possess the mathematical properties required by the proof. A system that is proven secure when every hash function is replaced by a random oracle is described as being secure in the random oracle model, as opposed to secure in the standard model of cryptography. Random oracles are typically used as an ideal replacement for cryptographic hash functions in schemes where strong randomness assumptions are needed of the hash function's output. Such a proof generally shows that a system or a protocol is secure by showing that an attacker must require impossible behavior from the oracle, or solve some mathematical problem believed hard in order to break it. Not all uses of cryptographic hash functions require random oracles: schemes that require only one or more properties having a definition in the standard model (such as collision resistance, preimage resistance, second preimage resistance, etc.) can often be proven secure in the standard model (e.g., the Cramer–Shoup cryptosystem). Random oracles have long been considered in computational complexity theory, and many schemes have been proven secure in the random oracle model, for example Optimal Asymmetric Encryption Padding, RSA-FDH and Probabilistic Signature Scheme. In 1986, Amos Fiat and Adi Shamir showed a major application of random oracles – the removal of interaction from protocols for the creation of signatures. In 1989, Russell Impagliazzo and Steven Rudich showed the limitation of random oracles – namely that their existence alone is not sufficient for secret-key exchange. In 1993, Mihir Bellare and Phillip Rogaway were the first to advocate their use in cryptographic constructions. In their definition, the random oracle produces a bit-string of infinite length which can be truncated to the length desired. According to the Church–Turing thesis, no function computable by a finite algorithm can implement a true random oracle (which by definition requires an infinite description). In fact, certain artificial signature and encryption schemes are known which are proven secure in the random oracle model, but which are trivially insecure when any real function is substituted for the random oracle. Nonetheless, for any more natural protocol a proof of security in the random oracle model gives very strong evidence of the practical security of the protocol. In general, if a protocol is proven secure, attacks to that protocol must either be outside what was proven, or break one of the assumptions in the proof; for instance if the proof relies on the hardness of integer factorization, to break this assumption one must discover a fast integer factorization algorithm. Instead, to break the random oracle assumption, one must discover some unknown and undesirable property of the actual hash function; for good hash functions where such properties are believed unlikely, the considered protocol can be considered secure.
Views: 303 The Audiopedia
Imagine a database system that can perform computations on sensitive data without ever having access to the data in plaintext. With such confidential computing capabilities, you could protect your sensitive data in use from powerful adversaries, including malicious machine admins, cloud admins, or rogue DBAs, without scarifying database system’s query processing power. With the Always Encrypted and secure enclave technologies, such as Intel Secure Guard Extensions (SGX) and Virtualization Based Security (VBS) in Windows, this powerful vision has become a reality. Join us for this session to learn about these game changing technologies that are now available in SQL.
Views: 123 Microsoft Ignite
Online applications are vulnerable to theft of sensitive information because adversaries can exploit software bugs to gain access to private data, and because curious or malicious administrators may capture and leak data. CryptDB is a system that provides practical confidentiality in the face of these attacks for applications backed by SQL databases. CryptDB's approach is to execute SQL queries over encrypted data. It can do so practically with two techniques: using a collection of efficient SQL-aware encryption schemes, two of which are new, and onions of encryptions which allow dynamic adjustment of encryption schemes. An analysis of a trace of 126 million SQL queries from a production MySQL server shows that CryptDB can support operations over encrypted data for 99.5% of the 128,840 columns seen in the trace. Our evaluation shows that CryptDB has low overhead, reducing throughput by only 26% for queries from the standard SQL benchmark TPC-C when compared to unmodified MySQL.
Views: 4147 Microsoft Research
In this demonstration, the Multi-Table Protect Job Wizard is used to define a rule for data in multiple Oracle tables. The rule locates columns that share the same type of data so that a protection rule for personally identifiable information (PII) can be applied to that data in multiple tables at the same time.
Views: 533 IRI TheCoSortCo
The video describes about following terms:- What is encryption? Objectives of encryption :- Confidentiality,integrity,authentication & nonrepudiation Encryption usage:- Protect user credentials like username & passwords Safe data storage Trusted online communications Assurance of sender's identity Secure medium for networking outside network Types of encryption:- Symmetric encryption, Asymmetric encryption , Hash function Symmetric vs. Asymmetric encryption Encryption standards:- Data Encryption Standard (DES) & Advanced Encryption Standard(AES) Encryption tools:- 1) Truecrypt=disk encryption 2) Mailvelope= mail encryption Music :- Khailash kher(teri marzi aye khuda,bollywood movie "pathshala")
Views: 1497 IT Admin's Corner
What is Data Integrity? Why does it matter? Data integrity is one of the five core principles of cybersecurity - the foundation of all security solutions. This episode is part of the Spoonful of Joe "Back to Basics" series, where I talk about the fundamental concepts of security, blockchain and IOT. Comment below if there is any topic you would like me to cover - or find me on Twitter & Facebook. Talk to me on: - Twitter: https://twitter.com/joepindar - Facebook: https://www.facebook.com/SpoonfulOfJoe/ - LinkedIn: https://www.linkedin.com/in/joepindar - Medium: https://medium.com/@joepindar Like & Subscribe to stay updated with the latest content! VLOGS and Q&A uploaded every week.
Views: 8407 A Spoonful of Joe
Blockchain technology and Bitcoin will potentially revolutionize business transactions. Blockchain offers a robust, decentralized platform for privacy and trust. It underlies the digital crypto-currency Bitcoin, which can be exchanged freely and anonymously, without a central authority. Bitcoin transactions - recorded publicly, provide an invaluable dataset to gain insight into the behavior of digital currency and the underlying Blockchain technology. Blocks, transactions with potential multiple inputs and outputs, and flow of bitcoins between addresses, form a sophisticated real-time graph. This talk details a pipeline used to gather bitcoin transaction data and analyze it with powerful graph cloud database technologies. Zhe Wu is an architect working on semantic and graph technologies in Oracle USA. He leads the design, architecture, and development of the inference engine for W3C RDFS/SKOS/OWL in the database, Java APIs for RDF Semantic Graph, RDF triple-level security, SQL-based graph analytics, Property Graph for RDBMS and Hadoop, and more. As an Oracle representative, he has participated in the W3C OWL 2 working group, RDF working group, and UDDI standard committee. He has served as a member of the program committee for ESWC, OrdRing, ISWC, RR, and OWLED. Zhe has served as co-chair for JIST 2011 and he has served on the editorial board of SWJ 2010. He has been invited to attend Japan-America Frontiers of Engineering (JAFOE 2011). Zhe has publications in ISWC, WWW, AAAI, VLDB, ICDE, JCST, CP, ICTAI, ASAP, and more. He has over fifteen US/International patents granted. Zhe received his PhD in computer science from the University of Illinois at Urbana-Champaign in 2001. He received his BE from the Special Class for Gifted Young, USTC in 1996. https://developer.oracle.com/ https://cloud.oracle.com/en_US/tryit
Views: 1101 Oracle Developers
Speaker(s): Masanori Oyama (Tokyo) Abstract: In recent years, applicable area of PostgreSQL has quickly extended into the enterprise sector thanks to continuing effort of the community to improve performance and functionality. As a result, there is an emerging demand to use PostgreSQL in more security-critical circumstances.In this presentation, I will talk about the following two topics. * Considerations for securing a database system. * Current status of database audit on PostgreSQLI am working for the open source software center (OSS center) of NTT which is the largest telecommunications company group in Japan. We have encouraged many of our customers to migrate a lot of database systems to PostgreSQL so far and this contributed much to cost reduction.Some projects need to conform to security standards, for example PCI DSS (Payment Card Industry Data Security Standard). It is one of the most prevailing security standard in the world. However it is not easy to build and operate a PostgreSQL-based system conformant to these security standards. I'd like to describe some aspects required for secure database systems in general, such as encryption, key management, identity management and auditing.Then I explain considerable points for building a secure database system using PostgreSQL, and show the remaining challenges for secure database systems using PostgreSQL.Finally, I introduce a forked version of pgaudit that we are maintaining, then explain how to use it. pgaudit is developed by 2ndquadrant and Crunchy Data, especially by David Steel with a great contribution. However, it does not meet our customer's requirements. For example, It cannot output the audit log and server log separately, it cannot audit Superuser fully, etc. So we forked it and added some changes. (Type: | Track: Database - PGDay | Room: Curie & Hershel (Floor 2)) Event Page: http://2017.fossasia.org Produced by Engineers.SG
Views: 487 FOSSASIA
Description: This video is about how to Encrypt SQL Server Database and Database Backup files with Transparent Data Encryption (TDE) and how to Decrypt it and restore on other instance in SQL Server 2012 [HD]. You can refer complete Text Tutorial on my website: www.SQLServerLog.com You can join me on social networks: Facebook: http://www.facebook.com/SQLServerLog Linkedin: http://in.linkedin.com/in/SQLServerLog Google+: http://www.google.com/+SQLServerLogs Twitter: http://www.twitter.com/SQLServerLog
Views: 32199 SQLServer Log
This webinar will cover: -Algorithm Selection -Transaction Optimization -Tokenization/Masking versus Encryption/Hashing -RDBMS versus NRDBMS (e.g., NoSQL) Protection Mechanisms For more information about information security services visit Proactive Risk at www.proactiverisk.com
Views: 57 ProactiveRISK
Source: Introduction to Database Management System, by Satinder Bal Gupta and Aditya Mittal, Laxmi Publications © 2009 Citation Chapter 2 E-R and EER Models
Views: 128 mehdi kordnavasi
Sharding or Data Partitioning: - Sharding is a technique to break up a big database into many smaller parts - Horizontal scaling means adding more machines, which is cheaper & more feasible - Vertical scaling means improving servers - Partitioning Methods: - Horizontal partitioning: - In this we put different rows into different table(db), i.e. rows can be based on location with zip codes, this is also range based sharding - Problem is if range is not choosen carefully, it'll lead to unbalanced servers. - Vertical Partitioning: - In this we divide data to store tables related to a specfic feature to their own servers.i.e. In Instagram, we can have 1 for user profile, 1 for photos, 1 for friend list. - Problem is in case of additional growth, its necessary to further partition a feature specific DB across servers. - Directory based Partitioning: - In this, create a lookup service which knows your current partitioning scheme & get it from DB access code. - To find out a data entry, we query directory server that holds the mapping between each tuple key to its DB server. - This is good to perform tasks like adding servers to the DB pool or change our partitioning scheme without impacting application. - Partitioning Criteria: - Hash-based partitioning: - In this we apply a hash function to some key attribute of the entity we're storing, that gives partition number. - Make sure to ensure uniform allocation of data among servers - Problem is it effectively fixes total number of DB servers, since adding a new server means changing the hash function, which would require redistribution of data & downtime, the workaround is Consistent Hashing. - List Partitioning: - In this each partition (DB server) is assigned a list of values, i.e. APAC, EMEA, US region has respective partition. - Round-robin Partitioning: - One by one assign which ensure uniform data distribution - Composite partitioning: - Combining any of above partitioning schemas to devise a new scheme. i.e First list partitioning with hash partitioning in each. - Common problems with Sharding: - Joins & Denormalisation: - Performing joins on a database which is running on one server is straightforward, but if DB is partitioned & spread across multiple machines, it's not feasible to perform joins that span database shards. - These joins won't be performance efficient. - Workaround is to denormalise the DB so that queries that required joins can be performed on single table. - Referential integrity: - Trying to enforce data integrity constraint suh as foreign keys in a sharded DB can be extremely difficult. Most of RDMS do not support this. - Rebalancing: - When data distribution is not uniform. - When there is lot of load on a particular Shard. In this video, we're going to reveal Sharding used in System Design: - What is Sharding/ Data Partitioning - Sharding Methods - Sharding Criteria - Sharding Challenges ★☆★ SUBSCRIBE TO ME ON YOUTUBE: ★☆★ https://www.youtube.com/codingsimplified?sub_confirmation=1 what is sharding in mongodb, database sharding example sharding vs partitioning, sharding mysql, sharding techniques, consistent hashing sharding, sharding crypto, what are sharding criteria CHECK OUT CODING SIMPLIFIED https://www.youtube.com/codingsimplified I started my YouTube channel, Coding Simplified, during Dec of 2015. Since then, I've published over 200+ videos. My account is Partner Verified and I get my earnings direct deposited into my account every month. ★☆★ VIEW THE BLOG POST: ★☆★ http://codingsimplified.com ★☆★ SEND EMAIL At: ★☆★ Email: [email protected]
Views: 556 Coding Simplified
For Complete Database Training Details Visit: http://www.qaonlinetraining.com http://infotek-solutions.com/ Delivery Method: Instructor led classroom and Online Training supported by world class Learning management system which automate all flow of lectures, videos, assignments, forums, quizzes and interview process. Class Schedule: Week-ends and Weekdays Contact Us: 571-437-0652, Mail Us: [email protected] Training Locations at : Ashburn / Fairfax / Maryland Office Address: 12801 Worldgate Dr #500, Herndon, VA 20170 Overview of Oracle DBA Training Oracle as a flexible, complex & robust RDBMS The evolution of hardware and the relation to Oracle Different DBA job roles (VP of DBA, developer DBA, production DBA, database babysitter) The changing job role of the Oracle DBA Environment management (network, CPU, disk and RAM) Instance management (managing SGA regions) Oracle table and index management Instance Architecture Instance vs. database Components of an instance Creating the OFA file structure ($DBA, bdump, udump, pfile) Oracle Instance Internals SGA vs. PGA Background processes Interfaces with server and disk I/O subsystem Using SQL*Plus for DBA management Connecting and executing SQL Using the “as sysdba” syntax Overview of SQL*Plus DBA commands (startup, etc.) Control file, UNDO and REDO management Explaining the use of control files Listing the Contents of the control File File locations for control Files Obtaining Control File Information Listing control file contents Displaying and Creating Undo segments Altering Undo Segments Determining the Number and Size of Undo segments Understanding flashback technology Troubleshooting Undo – snapshot too old Redo log concepts for recovery Online redo log (log_buffer) online redo logs and archived redo logs Oracle ARCH and LGWR background processes Redo log dictionary queries Redo log switch frequency and performance Multiplexing the Online Redo Log Files Archiving the Oracle Redo Logs Recovery using the redo log files User and privilege management The three security methods (VPD, Grant security/role-based security, grant execute) Creating New Database Users Using pre-spawned Oracle connections Auditing User activity Identifying System and Object Privileges Granting and Revoking Privileges Creating and Modifying Roles Displaying user security Information from the Data Dictionary Overview of instance management Parameter files (init.ora, listener.ora, tnsnames.ora) Rules for sizing SGA components Automated Oracle memory management (AMM) Initialization file management Creating the init.ora file Using spfile Displaying init.ora values with v$parameter Oracle*Net configuration Creating the listener.ora file Creating the tnsnames.ora file Data buffer configuration & sizing Inside the Oracle data buffers Using the KEEP pool Monitoring buffer effectiveness Using multiple blocksizes (multiple buffer pools) Shared pool and PGA configuration & Sizing Shared pool concepts and components Understanding the library cache Relieving shared pool contention Overview of PGA for sorting and hash joins Using sort_area_size, hash_area_size and pga_aggregate_target Troubleshooting network connectivity Verifying network connectivity with ping and tnsping Testing database links Oracle tables, views and materialized views Types of Oracle tables (regular, IOT, sorted hash clusters, nested tables) Oracle Views Oracle materialized views Oracle indexes Types of Oracle indexes (b-tree, bitmap, bitmap join index) Creating B*-Tree, bitmap and function-based Indexes Function-based indexes Finding indexing opportunities Index maintenance Oracle constraints Costs & benefits of constraints Types of Oracle indexes constraints (check, not null, unique, PK, FK) Cascading constraints Schema, File & tablespace management Describing the relationship between data files, tablespaces and table Understanding Oracle segments Creating Tablespaces – using the autoextend option Changing the Size of Tablespaces – alter database datafile command Defining a TEMP tablespace Changing the default storage Settings for a tablespace Review of the storage parameters in DBA views (ASM, ASSM, pctfree, pctused and freelists). Monitoring Chained rows (fetch continued rows) Monitoring Insert and Update performance (pctused, APPEND) Database Maintenance Reason for reorgs – chained rows, imbalanced freelists Reorganizing Tables using Export and Import Using CTAS to reorganize data Index rebuilding Backup & Recovery overview (hot & cold Backups, RMAN, block change tracking) Oracle DBA Utilities Data pump (Imp and exp utilities) SQL*Loader LogMiner Flashback DataGuard Oracle DBA utilities – Oracle dbms packages (dbms_redefinition)
Views: 142 Software Testing Training
00:39 - Basic Web Page Discovery 03:30 - Examining Cookies - Pt1 (Burp Sequencer) 05:05 - Fuzzing Usernames (2nd Order SQL Injection) 07:15 - Examining Cookies - Pt2 07:40 - Cookie Bitflip 12:45 - Oracle Padding Attack - Pt1 15:30 - Rooting the Box 22:50 - Oracle Padding Attack - Pt2
Views: 21850 IppSec
What is a dictionary? What do we gain by using one? How does this relate to CREATE DOMAIN? How would dictionaries affect query processing? Is a dictionary something a user has to be aware of? How does dictionary compression relate to domain encoding? What are the pros and cons of dictionary compression? Video for my inverted classroom "Database Systems". (V2: bugfix in first SQL statement} The complete list of videos, slides, and additional material is (will be) available at http://datenbankenlernen.de Computer Science, Saarland University: Bachelor (in German): http://www.cs.uni-saarland.de/index.php?id=52&L=1 Master (in English): http://www.cs.uni-saarland.de/index.php?id=132&L=1 Ph.D./Grad School: http://gradschool.cs.uni-saarland.de/
Views: 3500 Prof. Dr. Jens Dittrich
Compression is mainly about saving storage space, right? But wait: wasn’t there something way more important? What is the major trade-off you have to keep in mind here? Compressing data costs something in addition! You can only lose w.r.t. overall query response times, right? What are compression granularities? How do they affect accesibility and compression ratio of your data (in general)? Video for my inverted classroom "Database Systems". The complete list of videos and additional material is (will be) available at http://datenbankenlernen.de Computer Science, Saarland University: Bachelor (in German): http://www.cs.uni-saarland.de/index.php?id=52&L=1 Master (in English): http://www.cs.uni-saarland.de/index.php?id=132&L=1 Ph.D./Grad School: http://gradschool.cs.uni-saarland.de/
Views: 1563 Prof. Dr. Jens Dittrich
OpenStack has mature and powerful support for block storage devices. Allowing solutions architects to easily house traditional local file systems for data storage. A busy cloud application at scale needs horizontal scalability and High Availability for all of the layers in the stack. This means Catalyst has been deploying a range of clustered file system solutions inside cloud platforms since 2012. Catalyst have had exposture with NFS, OCFS2, DRBD, CEPH and GlusterFS. We will talk about our expe
Views: 1260 OpenStack Foundation
MySQL and MariaDB are currently the most popular open source DBMS systems in the world. When compared to enterprise DBMS systems, however, MySQL and MariaDB lack many useful security software solutions. To solve this problem, Penta Security - the top DB encryption company for a variety of different enterprise DB environments - released MyDiamo, which provides integrated DB encryption/decryption for MySQL and MariaDB users.
Views: 1387 My Diamo
create user, identified by, default parmanent tablespace, temporary table space, quota, profile, dba_users,dba_ts_quota,dba_profile, USERS, TEMP, DEFAULT, SYSTEM TABLESPACE,sql, oracle 11g , database management security, security database
Views: 1323 Dr. Girija Narasimhan
In this unit, our focus will be shifted to look at how data are physically held in secondary storage (such as magnetic or optical disks). We will not only study the most important physical organisations of data, but also discuss the management of such physical organisations. Although an ordinary user of an off-the-shelf DBMS package (such as Oracle) is unlikely to have much control over the physical aspects of the DBMS, an understanding of the materials presented in this unit is still valuable when making decisions about the performance responses of the database system. It is also important to have the knowledge in order to assess the overall storage requirements for a database application to be developed. (Chapter 6 Part 1)
Views: 2253 vcilt14
Slides PDF: http://15445.courses.cs.cmu.edu/fall2017/slides/07-bufferpools.pdf Notes: http://15445.courses.cs.cmu.edu/fall2017/notes/07-notes-bufferpools.pdf Annotated Video: https://scs.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=2fbcd1ae-65ac-40e5-ae7d-36ebc976cabe Andy Pavlo (http://www.cs.cmu.edu/~pavlo/) 15-445/645 Intro to Database Systems (Fall 2017) Carnegie Mellon University http://15445.courses.cs.cmu.edu/fall2017
Views: 3212 CMU Database Group
Tools & Methods of Program Analysis Conference in Kostroma (TMPA-2013) An Approach to Verification of Correctness of Data Migration between DBMS Using Cryptographic Hash Functions Zhuravlev, М., Polozov, V. , St. Petersburg State University
Views: 77 Iosif Itkin
Fundamentals of Computer Network Security Launch you career in cyber security. This specialization in intended for IT professionals, computer programmers, managers, IT security professionals who like to move up ladder, who are seeking to develop network system security skills. Through four courses, we will cover the Design and Analyze Secure Networked Systems, Develop Secure Programs with Basic Cryptography and Crypto API, Hacking and Patching Web Applications, Perform Penetration Testing, and Secure Networked Systems with Firewall and IDS, which will prepare you to perform tasks as Cyber Security Engineer, IT Security Analyst, and Cyber Security Analyst. Course 1 - Design and Analyze Secure Networked Systems University of Colorado System About this Course In this MOOC, we will learn the basic cyber security concepts, how to identify vulnerabilities/threat in a network system. We will apply CIA basic security services in the triage of recent cyberattack incidents, such as OPM data breach. We will learn the risk management framework for analyzing the risks in a network system, and apply the basic security design principles to protect the data and secure computer systems. We will examine the trustworthiness of programs and data installed in our systems and show the proper way to verify their integrity and authenticity. We will apply principle of least privileges for controlling the shared access given to different groups of users and system processes. On Amazon Cloud instances, we will use GnuPG software to generate public/private key pair for signing/verifying documents and open source software, and for encrypting documents. We will learn how to publish software, the related signature and release key on web server and publish public key to PGP key server for others to retrieve. We will learn Public Key Infrastructure (PKI) and Linux utility to serve as a CA for an organization, learn how to sign certificate request for clients or servers in secure email and web applications. Module 2 - Protect Data Access and Verify Source of Trust Edward Chow In this module we apply principle of least privileges for controlling the proper access given to users and system process. We will demonstrate such an access control by using an example of project document access control using the Unix file access mechanism. We use OPM data breach example to show the impact and the need for principle of adequate data protection. Trust is critical and in the center of any secure systems. We will examine the source and authenticity of the programs and data installed in systems we used daily and show the proper way to check their integrity, and verify their authenticity. Less Learning Objectives • Apply least privilege principle to provide proper access control. • Apply principle of adequate data protection to secure data • Inspect the web server identity presented by the web browser • Examine source and authenticity of the programs and data in your systems, and understand who and what we trust. • Describe the web serve certificate signing and installation process
Views: 159 intrigano
database table, database table create bangla, database table tutorial, database table creation, database table partitioning, database tableau, database table access, database table normalization, database table create, database table relationships, database table design, database table design best practices, database table abap, database table by name overtime_allowance is given below, database bridge table, big table database tutorial, database table c#, database table creation in mysql, database table connections, oracle database table creation, sql database table create, firebase create database table, database create table mysql, database table design one to many, database table design tutorial, database table design in excel, workflow database table design, access database table design, display database table in html, display database table in php, database table examples, database table design examples, edit database table php, e commerce database tables, database table for pharmacy, database table for username and password, database table for school management system, database table for online food ordering system, database table for student attendance, database table for online shopping system, database table for registration, database table for restaurant menu, firebase database table, hash table database, database table in hindi, database create table hindi, database table in excel, database table in sap abap, database table in html, database table index, database table in abap, database table joins, database junction table, database table key, database table linking, create database table in laravel, database table mapping, mysql database table, mysql database table creation, microsoft access database table, database table naming convention, database table name standards, netbeans database table, database table online, oracle database table, database table primary key, database table partitioning in sql server, database table php, show database table in php, pivot table database, create database table in php, create database table in phpmyadmin, database table query form report, database table relationship diagram, database table relations, access database table relationships, database table schema, accounting software database table structure, attendance database table structure, invoice database table structure, database sql create table, sql database table, sap abap database table, student table database, database table to java pojo, database table to excel, time table database, transaction table database, firebase database table view, database table wordpress, create database table wordpress, wordpress custom database table, what is database table database table database tables quiz database table design database table naming conventions database table schema database table icon database table diagram database table relationships database table types database table structure database tables examples database table example database table name convention database table image database table design tool database table join database table partitioning database table definition database table attributes database table and column naming conventions database table as queue database table and field database table architecture database table and view database table alias database table abap database table auditing database table and schema a database table is technically called a relation a database table is sometimes referred to as a/an in a database table columns are called create a database table create a database table in mysql display a database table in html create a database table in wordpress display a database table in php create a database table in sap abap design a database table database table best practices database table by name overtime_allowance is given below database table by name loan_records is given below database table builder database table backup database table bootstrap database table boolean column database table backup sql server database table basics database table backup query database table b-tree database table column database table cardinality database table constraints database table creator database table comparison tool database table components database table clipart database table creation database table categories database table compare c sharp database table database table documentation database table design examples database table diagram tool database table design online database table description database table design patterns database table excel database table encryption database table editor database table entity database table e2erep_mapping contains non-unique entries database table er diagram database table examples mysql database table extension database table employee e commerce database tables e commerce database table design wordpress e commerce database tables database table field database table fragmentation
Views: 3751 T3SO Tutorials
This work is an adaptation of the paper: http://ijarcsee.org/index.php/IJARCSEE/article/view/219/197 The objective is to change the view of a table containing sensitive information such that the table does not loose any significant information and yet can provide a generalized form. This is extremely important from survey point of view and to present such data by ensuring privacy preservation of the people such that under no way a particular person's identity can be obtained from partial information.
Views: 5243 rupam rupam