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» Learning attack strategies from intrusion alerts
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INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
13 years 11 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...
ACSAC
2009
IEEE
14 years 1 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...
CSREASAM
2006
13 years 8 months ago
Gibraltar: A Mobile Host-Based Intrusion Protection System
Although mobile devices are globally omnipresent, security developments for these devices have not kept pace with their technological advancements. Thus, mobile devices are increa...
Grant A. Jacoby, Thadeus Hickman, Stuart Warders, ...
DSN
2006
IEEE
14 years 23 days ago
Accurate and Automated System Call Policy-Based Intrusion Prevention
One way to prevent control hijacking attack is to compare a network application’s run-time system calls with a pre-defined normal system call behavior model, and raise an alert...
Lap-Chung Lam, Wei Li, Tzi-cker Chiueh
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 6 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh