Sciweavers

988 search results - page 46 / 198
» Intrusion Detection with Neural Networks
Sort
View
JCS
2002
100views more  JCS 2002»
13 years 8 months ago
STATL: An Attack Language for State-Based Intrusion Detection
STATL is an extensible state/transition-based attack description language designed to support intrusion detection. The language allows one to describe computer penetrations as seq...
Steve T. Eckmann, Giovanni Vigna, Richard A. Kemme...
ACSAC
2002
IEEE
14 years 1 months ago
Evaluating the Impact of Automated Intrusion Response Mechanisms
Intrusion detection systems (IDSs) have reached a high level of sophistication and are able to detect intrusions with a variety of methods. Unfortunately, system administrators ne...
Thomas Toth, Christopher Krügel
AINA
2008
IEEE
14 years 2 months ago
Exploiting Frequent Episodes in Weighted Suffix Tree to Improve Intrusion Detection System
In this paper we proposed a weighted suffix tree and find out it can improve the Intrusion Detection System (IDS). We firstly focus on the analysis of computer kernel system call,...
Min-Feng Wang, Yen-Ching Wu, Meng-Feng Tsai
MATA
2004
Springer
189views Communications» more  MATA 2004»
14 years 1 months ago
APHIDS: A Mobile Agent-Based Programmable Hybrid Intrusion Detection System
Abstract. Intrusion detection systems are quickly becoming a standard requirement in building a network security infrastructure. Although many established techniques and commercial...
Ken Deeter, Kapil Singh, Steve Wilson, Luca Filipo...
CN
1999
128views more  CN 1999»
13 years 8 months ago
Intrusion detection systems as evidence
: Although the main aim of IDSs is to detect intrusions to prompt evasive measures, a further aim can be to supply evidence in criminal and civil legal proceedings. However the fea...
Peter Sommer