By Hirohide Ushida, Tomohiko Sato (auth.), Takeshi Furuhashi (eds.)

ISBN-10: 3540606076

ISBN-13: 9783540606079

This e-book provides 14 carefully reviewed revised papers chosen from greater than 50 submissions for the 1994 IEEE/ Nagoya-University international Wisepersons Workshop, WWW'94, held in August 1994 in Nagoya, Japan.
The blend of ways according to fuzzy good judgment, neural networks and genetic algorithms are anticipated to open a brand new paradigm of computer studying for the conclusion of human-like info processing platforms. the 1st six papers during this quantity are dedicated to the combo of fuzzy common sense and neural networks; 4 papers are on the best way to mix fuzzy good judgment and genetic algorithms. 4 papers examine tough purposes of fuzzy platforms and of fuzzy-genetic algorithms.

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13] M. Roesch, ”Snort: Lightweight Intrusion Detection for Networks”, Proc. Of USENIX LISA ’99, Seattle, Washington, November 1999, pp. 229-238. [14] Tao Song, Jim Alves-Foss, Calvin Ko, Cui Zhang, Karl Levitt, “Using ACL2 to Verify Security Properties of Specification-based Intrusion Detection Systems,” In Proceedings of the Fourth International Workshop on the ACL2 Theorem Prover and Its Applications, 2003. [15] D. Sterne, P. Balasubramanyam, D. Carman, B. Wilson, R. Talpade, C. Ko, R. Balupari, C-Y.

Schneider Our intention is for the model to respect the fact that some values are impossible for an intruder to guess. ) are symbolic, that each is distinct from all others, and that the set of variables is disjoint from the set of integers. Assumption 1. (P ∪ E) ∩ Z = ∅ The following example makes clear why this restriction is necessary: Example 4. Consider the system defined by P = {1} andE = {xC }. If variables are numbers, then any group value g X can be realised by defining X = v(F, h), where F = {{xC → 0}} and h({xC → 0}) = {1 → X}, yielding v(F, h) = (1 · X)x0C = X.

Local behavioral specifications are developed to define normal behavior of DRCP. In our results, we have proved that the local behavioral specifications of DRCP can ensure that the global security requirements will hold. Any violation of global security requirements will result in a violation of local specifications and raise an alert. We claim that the intrusion detection system is efficient (because it monitors behavior of individual nodes), has no false negatives (with respect to the global requirements we defined).

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Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms: IEEE/Nagoya-University World Wisepersons Workshop Nagoya, Japan, August 9–10, 1994 Selected Papers by Hirohide Ushida, Tomohiko Sato (auth.), Takeshi Furuhashi (eds.)


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