RAID 98: First International Workshop on the Recent Advances in Intrusion Detection
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Network Intruder Location Using Markov Decision Processes Extended Abstract for Raid 2000: Third International Workshop on Recent Advances in Intrusion Detection Topic Category: Innovative Approaches/new Ids Methodologies and Technologies 1 Intrusion and Misuse Location
In recent years, there has been considerable progress in developing systems for the detection of network intrusion and misuse. In contrast to the large amount of work on intrusion/misuse detection, there has been much less research reported on the crucial related problem of locating the source(s) of an attack once it is detected. Because of IP spooong, the source address in an attack packet can...
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Marc Dacier graduated in Computer Science in 1989 from the Universit e Catholique de Louvain , Belgium, where he worked from 1989 until 1991 as a research assistant. From 1992 until 1994, He worked as a Ph.D. student in the dependability group headed by Jean-Claude Laprie at LAAS-CNRS in Toulouse, France. He obtained his Ph.D. in Computer Security in 1994 from the INPT in Toulouse, France, with...
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Intrusion detection systems (IDS) by exploiting Machine learning techniques are able to diagnose attack traffics behaviors. Because of relatively large numbers of features in IDS standard benchmark dataset, like KDD CUP 99 and NSL_KDD, features selection methods play an important role. Optimization algorithms like Genetic algorithms (GA) are capable of finding near-optimum combination of the fe...
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تاریخ انتشار 1998