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INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
14 years 16 days 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...
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...
MOBIHOC
2010
ACM
13 years 5 months ago
Barrier coverage with sensors of limited mobility
Barrier coverage is a critical issue in wireless sensor networks for various battlefield and homeland security applications. The goal is to effectively detect intruders that attem...
Anwar Saipulla, Benyuan Liu, Guoliang Xing, Xinwen...
VIZSEC
2004
Springer
14 years 1 months ago
Passive visual fingerprinting of network attack tools
This paper examines the dramatic visual fingerprints left by a wide variety of popular network attack tools in order to better understand the specific methodologies used by attack...
Gregory J. Conti, Kulsoom Abdullah
WISEC
2010
ACM
14 years 2 months ago
Automating the injection of believable decoys to detect snooping
We propose a novel trap-based architecture for enterprise networks that detects “silent” attackers who are eavesdropping network traffic. The primary contributions of our work...
Brian M. Bowen, Vasileios P. Kemerlis, Pratap V. P...