PPT-Anomalous Database Transaction Detection

By Harshith Reddy Sarabudla Anomaly detection approaches Commandcentric focus on attack syntax Mostly capture attack queries that have similar columns but process or display different row contents from those of normal queries. Introduction and Use Cases. Derick . Winkworth. , Ed Henry and David Meyer. Agenda. Introduction and a Bit of History. So What Are Anomalies?. Anomaly Detection Schemes. Use Cases. Current Events. Q&A. Dr. Alexandra Fedorova. Lecture . X. : . Transactions. Transactions. A transaction is a collection of actions logically belonging together. To the outside world, a transaction must appear as a . single indivisible operation. Jose M. Peña. jose.m.pena@liu.se. 2. How can several users access and update the database at the same time ? . Real . world. Model. Database. system. Physical . database . Database. management. system. Siddharth Gupta. 1. , Casey Hanson. 2. , Carl A Gunter. 3. , Mario Frank. 4. , David Liebovitz. 4. , Bradley . Malin. 6. 1,2,3,4. Department of Computer Science, . 3,5. Department of Medicine, . 6. Department of Biomedical Informatics. ITK 478. Fall 2007. Why Monitoring Database Application Behavior is the Best Database Intrusion Detection Method. Why intrusion detection?. Comparing two types:. Monitoring Database Application Behavior. Intern: Feifei Li, Boston University. Mentor: David Lomet, MSR. Transaction. Time Support. Provide access to prior states of a database:. Auditing the database. Querying the historical data. Mining the pattern of changes to a database. Ke Wang, Gabriela Cretu, Salvatore Stolfo. Computer Science, Columbia University. Mike Kopps. CS591. Agenda. The Problem. Existing Solutions. Solution. Methodology. Collaboration. Evaluation. Even . More Problems. Problem motivation. Machine Learning. Anomaly detection example. Aircraft engine features:. . = heat generated. = vibration intensity. …. (vibration). (heat). Dataset:. New engine:. Density estimation. Database Recovery. 1 Purpose of Database Recovery. To bring the database into the last consistent state, which existed prior to the failure.. To preserve transaction properties (Atomicity, Consistency, Isolation and Durability).. Database System Implementation CSE 507. Some slides adapted from . Navathe. et. Al. and . Silberchatz. et. Al. . Transaction Concept. A . transaction. . is a . unit . of program execution that accesses and possibly updates various data items.. 1 Purpose of Database Recovery. To bring the database into the last consistent state, which existed prior to the failure.. To preserve transaction properties (Atomicity, Consistency, Isolation and Durability).. China20United States30France6Papua New Guinea1India12Sudáfrica1Israel1UAE12 Oman7BahreinAzerbaijan1IranSingaporeKazakhstan4Russia1Australia7Libya1Algeria3South KoreaMalaysia Ireland1Norway2NewZealand “Anomaly Detection: A Tutorial”. Arindam. . Banerjee. , . Varun. . Chandola. , . Vipin. Kumar, Jaideep . Srivastava. , . University of Minnesota. Aleksandar. . Lazarevic. , . United Technology Research Center. Outline. Centralized Database Systems. Server System Architectures. Parallel Systems. Distributed Systems. Network Types. Centralized Database Systems. Run on a single computer system. Single-user system.