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FLAIRS
2010
13 years 10 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves
NDSS
2003
IEEE
14 years 1 months ago
A Virtual Machine Introspection Based Architecture for Intrusion Detection
Today’s architectures for intrusion detection force the IDS designer to make a difficult choice. If the IDS resides on the host, it has an excellent view of what is happening i...
Tal Garfinkel, Mendel Rosenblum
AINA
2008
IEEE
14 years 2 months ago
Multi-Character Processor Array for Pattern Matching in Network Intrusion Detection System
—Network Intrusion Detection System (NIDS) is a system developed for identifying attacks by using a set of rules. NIDS is an efficient way to provide the security protection for ...
Yeim-Kuan Chang, Ming-Li Tsai, Yu-Ru Chung
IMC
2009
ACM
14 years 2 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
HOLOMAS
2007
Springer
14 years 2 months ago
Detecting Intrusions in Agent System by Means of Exception Handling
We present a formal approach to conception of a dedicated security infrastructure based on the exception handling in the protected agents. Securityrelated exceptions are identifie...
Eric Platon, Martin Rehák, Nicolas Sabouret...