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Data and Applications Security Developments and Directions

Data and Applications Security Developments and Directions. Guest Lecture Dr. Kevin Hamlen Given in February 2012. Objective of the Unit.

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Data and Applications Security Developments and Directions

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  1. Data and Applications Security Developments and Directions Guest Lecture Dr. Kevin Hamlen Given in February 2012

  2. Objective of the Unit • This unit provides an overview of the course. The course describes concepts, developments, challenges, and directions in data and applications security. Topics include • database security, distributed data management security, object security, data warehouse security, data mining for security applications, privacy, secure semantic web, secure digital libraries, secure knowledge management and secure sensor information management, biometrics

  3. Outline of the Unit • Outline of Course • Course Work • Course Rules • Contact • Appendix

  4. Outline of the Course • Unit #1: Introduction to Data and Applications • Part I: Background • Unit #2: Data Management • Unit #3: Information Security • Unit #4: Information Management • Part II: Discretionary Security • Unit #5: Concepts • Unit #6: Policy Enforcement • Part III: Mandatory Security • Unit #7: Concepts • Unit #8: Architectures

  5. Outline of the Course (Continued) • Part IV: Secure Relational Data Management • Unit #9: Data Model • Unit #10: Functions • Unit #11: Prototypes and Products • Part V: Inference Problem • Unit #12: Concepts • Unit #13: Constraint Processing • Unit #14: Conceptual Structures • Part VI: Secure Distributed Data Management • Unit #15: Secure Distributed data management • Unit #16: Secure Heterogeneous Data Integration • Unit #17: Secure Federated Data Management

  6. Outline of the Course (Continued) • Part VII: Secure Object Data Management • Unit #18: Secure Object Management • Unit #19: Secure Distributed Objects and Modeling Applications • Unit #20: Secure Multimedia Systems • Part VIII: Data Warehousing, Data Mining and Security • Unit #21: Secure Data Warehousing • Unit #22: Data Mining for Security Applications • Unit #23: Privacy • Part IX: Secure Information Management • Unit #24: Secure Digital Libraries • Unit #25: Secure Semantic Web (web services, XML security) • Unit #26: Secure Information and Knowledge Management

  7. Outline of the Course (Continued) • Part X: Emerging Technologies • Unit #27: Secure Dependable Data Management • Unit #28: Secure Sensor and Wireless Data Management • Unit #29: Other Emerging Technologies • Unit #30 Conclusion to the Course • Guest Lectures Some guest lectures may be included • Some other topics • Review for finals

  8. Course Work • One term paper; each worth 10 points • November 16 • Two exams each worth 20 points • Exam #1: October 19 • Exam #2: As scheduled by UTD; December 9, 2011 • Programming project worth 12 points: December 5 • Four homework assignments each worth 6 points • September 28; October 12; November 9; November 30 • Total 86 points • May be given a surprise quiz (4 points) • Total 90

  9. Course Work • Course Book: Database and Applications Security: Integration Data Management and Information Security, Bhavani Thuraisingham, CRC Press, 2005 • Will also include papers as reading material

  10. Some Topics for Papers • XML Security • Inference Problem • Privacy • Secure Biometrics • Intrusion Detection • E-Commerce Security • Secure Sensor Information Management • Secure Distributed Systems • Secure Semantic Web • Secure Data Warehousing • Insider Threat Analysis • Secure Multimedia Systems

  11. Term Papers: Example Format • Abstract • Introduction • Background on the Topic • Survey of various techniques, designs etc, • Analyze the techniques, designs etc. and give your opinions • Directions for further work • Summary and Conclusions • References

  12. Term Papers: Example Format - II • Abstract • Introduction • Background on the Topic and Related Work • Discuss strengths and weaknesses of your work and others’ work • Give your own design • Directions for further work • Summary and Conclusions • References

  13. Project Report Format • Overview of the Project • Design of the System • Input/Output • Future Enhancements • References

  14. Some Project Topics • Quivery Modification on XML Documents • Access control for web systems • Intrusion detection system • Access control for multimedia systems • E.g., access control for image, video • Role-based access control system • Access control for object systems • Secure data warehouse

  15. Index to Lectures • Lecture 1: August 24, 2011; This lecture gives an introduction to data and applications security • Lecture 2: August 29: Secure data storage and retrieval in a cloud (skip for exam 1) • Lecture 3: Aug 31: Cyber Security • Lecture 4: Sept 7: Access control in data management systems • Lecture 5: Sept 7: Policies • Lecture 6: Sept 12: Data mining for malware detection • Lecture 7: Sept 14: Multilevel secure data management • Lecture 8: Sept 14: Assignment #1 • Lecture 9: Sept 19: Completed lecture 7; started on Inference Problem – 1 • Lecture 10: Sept 21: Novel class detection

  16. Index to Lectures • Sept 26th Continuation of Inference problem (Lecture 9) • Lecture 11: Sept 28: NIST NVD lecture was given that day; but lecture posted is Inference problem – II which was covered on Oct 3 • Lecture 12: Sept 28, Assignment #2 • Oct 3 lecture: Gave the lecture posted under Lecture 11 which is inference problem - II • Lecture 13: Oct 5: Secure Distributed Data Management (skip the part on single sign and identity mgmt on for exam #1) • Lecture 14: Oct 10: Malware (pages 4-29 for exam #1) • Lecture 15: This lecture was given on Sept 28; NIST NVD Lecture • Lecture 16: Oct 10: Attacks to databases • October 12: Lecture 17: SQL Injection

  17. Index to Lectures for Exam 2 • October 17: Lecture 18 Secure publishing of XML Data (1) • October 19: Exam #1 (no lectures posted) • October 24: Lecture 19: Trustworthy semantic web (2) • October 26: Lecture 20 Introduction to semantic web (not included in exam) • October 31: Lecture 21: Assignment #3 • November 2: Lecture 22: Secure web services and SOA (3) • November 7: Lecture 23: Scalable access control (Dr. Cadenhead) – Optional – will not be included in exam

  18. Index to Lectures for Exam 2 • November 9: Lecture 24: Secure object systems (4) • November 14:Lecture 25: Data warehousing, security (5) • November 14: Lecture 26: Privacy (6) • November 16: Lecture 27: Assignment #4 • November 16: Lecture 28 Insider threat detection (7) • November 21: Lecture 29: Secure knowledge management (8) • November 23: Lecture 30 Social Network Security (9) • November 28: Lecture 31: Secure Dependable Data (10) • November 30: Lecture 32: Secure Cloud (extra credit - i) • December 5: Lecture 33: Emerging security technologies (extra credit – ii)

  19. Papers to read for exam #1 • RBAC: Ravi S. Sandhu, Edward J. Coyne, Hal L. Feinstein, Charles E. Youman: Role-Based Access Control Models. IEEE Computer 29(2): 38-47 (1996) • UCON: Jaehong Park, Ravi S. Sandhu: The UCONABC usage control model. ACM Trans. Inf. Syst. Secur. 7(1): 128-174 (2004) - Read the first 20 pages • DCON: Roshan K. Thomas, Ravi S. Sandhu: Towards a Multi-dimensional Characterization of Dissemination Control. POLICY 2004: 197-200 (IEEE) • Bhavani M. Thuraisingham, William Ford: Security Constraints in a Multilevel Secure Distributed Database Management System. IEEE Trans. Knowl. Data Eng. 7(2): 274-293 (1995) – applicable both for inference problem 1 and for distributed inference control

  20. Papers to read for exam #2 • XML security • ROWLBAC paper • Social Network security

  21. Course Rules • Course attendance is mandatory; unless permission is obtained from instructor for missing a class with a valid reason (documentation needed for medical emergency for student or a close family member – e.g., spouse, parent, child). Attendance will be collected every lecture. 5 points will be deducted out of 100 for each lecture missed without approval. • Each student will work individually • Late assignments will not be accepted. All assignments have to be turned in just after the lecture on the due date • No make up exams unless student can produce a medical certificate or give evidence of close family emergency • Copying material from other sources will not be permitted unless the source is properly referenced • Any student who plagiarizes from other sources will be reported to the appropriate UTD authroities

  22. Contact • For more information please contact • Dr. Bhavani Thuraisingham • Professor of Computer Science and • Director of Cyber Security Research Center Erik Jonsson School of Engineering and Computer Science EC31, The University of Texas at Dallas Richardson, TX 75080 • Phone: 972-883-4738 • Fax: 972-883-2399 • Email: bhavani.thuraisingham@utdallas.edu • URL:http://www.utdallas.edu/~bxt043000/

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