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AAAI
2008
15 years 4 months ago
Proactive Intrusion Detection
Machine learning systems are deployed in many adversarial conditions like intrusion detection, where a classifier has to decide whether a sequence of actions come from a legitimat...
Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Sri...
CN
1999
115views more  CN 1999»
15 years 1 months ago
A large scale distributed intrusion detection framework based on attack strategy analysis
To appropriately address the problem of large-scale distributed intrusion assessment/detection, issues such as information exchange, work division and coordination amongst various...
Ming-Yuh Huang, Robert J. Jasper, Thomas M. Wicks
DEXAW
2008
IEEE
121views Database» more  DEXAW 2008»
15 years 8 months ago
Experiences on Designing an Integral Intrusion Detection System
Network Intrusion Detection Systems (NIDS) have the challenge to prevent network attacks and unauthorised remote use of computers. In order to achieve this goal, NIDS usually foll...
Yoseba K. Penya, Pablo Garcia Bringas
135
Voted
ISCC
2006
IEEE
256views Communications» more  ISCC 2006»
15 years 7 months ago
A Wireless Distributed Intrusion Detection System and a New Attack Model
Denial-of-Service attacks, and jamming in particular, are a threat to wireless networks because they are at the same time easy to mount and difficult to detect and stop. We propo...
Marco Domenico Aime, Giorgio Calandriello, Antonio...
106
Voted
EUROMICRO
2004
IEEE
15 years 5 months ago
Intrusion Detection in Virtual Machine Environments
A virtual machine is a software replica of an underlying real machine. Multiple virtual machines can operate on the same host machine concurrently, without interfere each other. S...
Marcos Laureano, Carlos Maziero, Edgard Jamhour