By Peng Liu, Sushil Jajodia, Catherine D. McCollum (auth.), Vijay Atluri, John Hale (eds.)
Computer expertise evolves at a fee that demanding situations businesses to take care of applicable safety for his or her organizations. With the quick development in web and www amenities, database and data structures defense continues to be a key subject in companies and within the public area, with implications for the total of society.
Research Advances in Database and knowledge structures Security covers matters concerning defense and privateness of data in quite a lot of purposes, together with:
- Critical Infrastructure security;
- Electronic trade;
- Information insurance;
- Intrusion Detection;
- Policy Modeling;
- Multilevel safeguard;
- Role-Based entry regulate;
- Data Mining;
- Data Warehouses;
- Temporal Authorization versions;
- Object-Oriented Databases.
This e-book comprises papers and panel discussions from the 13th Annual operating convention on Database protection, geared up by way of the overseas Federation for info Processing (IFIP) and held July 25-28, 1999, in Seattle, Washington, united states.
Research Advances in Database and knowledge structures Security presents beneficial analyzing for college and complex scholars in addition to for commercial researchers and practitioners engaged in database safety study and development.
Read Online or Download Research Advances in Database and Information Systems Security: IFIP TC11 WG11.3 Thirteenth Working Conference on Database Security July 25–28, 1999, Seattle, Washington, USA PDF
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Extra info for Research Advances in Database and Information Systems Security: IFIP TC11 WG11.3 Thirteenth Working Conference on Database Security July 25–28, 1999, Seattle, Washington, USA
1997). Authentication via keystroke dynamics. Proceedings of the Fourth ACM Conference on Computer and Communications Security.  Porras, P. and Kemmerer, R. (1992). Penetration state transition analysis - a rule-based intrusion detection approach. Proceedings of the Eighth Annual Computer Security Applications Conference, pp. 220-229. , and Cohen, F. (1992). A model for detecting the existence of software corruption in real time. Computers and Security Journal, 11(8), pp. 275-283. PART II ROLE-BASED ACCESS CONTROL 3 INTEGRATING DATA MINING TECHNIQUES WITH INTRUSION DETECTION METHODS Ravi Mukkamala, Jason Gagnon and Sushil Jajodia Abstract Intrusion detection systems like NIDES depend on the ability to characterize a user's past behavior based on his/her usage patterns.
For instance, given the following snippet from a pre-processed file of BSM events (where single letters represent events), [pid 1] A;[pid 1] B;[pid 2] C;[pid 1] D; [pid 1] B; [pid 2] A; [pid 1] D; [pid 1] B; [pid 2] E; [pid 2] B; [pid 2] D;, and given an N -gram size of two, a table of all observed N -grams could be constructed. First, the two processes represented in the file must be deinterleaved, producing the following execution traces: pid 1: A B DB DB pid 2: C A E B D. A sliding window with a size of two (as specified above) would be passed over the execution trace of the first process, to collect all N -grams with a size of two.
However, since collusions are usually difficult to detect, and it is usually a complicated and computing intensive process to ensure the correctness of such data flows. We will not address the problem in this paper and we would like to address it in our future research. When a user is discovered to be malicious or innocent, a decision must be made on how to accept and merge his/her updates into the main data version. At this point, two types of mergers are possible: (a) Complete Merger: When a user is discovered to be malicious, all of his/her updates are discarded.
Research Advances in Database and Information Systems Security: IFIP TC11 WG11.3 Thirteenth Working Conference on Database Security July 25–28, 1999, Seattle, Washington, USA by Peng Liu, Sushil Jajodia, Catherine D. McCollum (auth.), Vijay Atluri, John Hale (eds.)