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» Active learning for network intrusion detection
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DSN
2009
IEEE
14 years 5 months ago
Xprobe2++: Low volume remote network information gathering tool
Active operating system fingerprinting is the process of actively determining a target network system’s underlying operating system type and characteristics by probing the targ...
Fedor V. Yarochkin, Ofir Arkin, Meder Kydyraliev, ...
RAID
2005
Springer
14 years 4 months ago
FLIPS: Hybrid Adaptive Intrusion Prevention
Intrusion detection systems are fundamentally passive and fail–open. Because their primary task is classification, they do nothing to prevent an attack from succeeding. An intru...
Michael E. Locasto, Ke Wang, Angelos D. Keromytis,...
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
14 years 3 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
ICWN
2004
14 years 23 hour ago
Securing Data Transmissions and Retransmissions Management in Ad Hoc Networks
We present in this paper a solution exploiting existence of multiple paths between nodes to secure data in Ad hoc networks. This solution is also designed in the aim to give the ne...
Souheila Bouam, Jalel Ben-Othman
CN
2007
90views more  CN 2007»
13 years 10 months ago
SweetBait: Zero-hour worm detection and containment using low- and high-interaction honeypots
As next-generation computer worms may spread within minutes to millions of hosts, protection via human intervention is no longer an option. We discuss the implementation of SweetB...
Georgios Portokalidis, Herbert Bos