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99
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KAIS
2007
120views more  KAIS 2007»
14 years 10 months ago
Capabilities of outlier detection schemes in large datasets, framework and methodologies
Abstract. Outlier detection is concerned with discovering exceptional behaviors of objects. Its theoretical principle and practical implementation lay a foundation for some importa...
Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David W...
85
Voted
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 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...
91
Voted
ETRICS
2006
15 years 1 months ago
Simplifying Signature Engineering by Reuse
Abstract. Most intrusion detection systems deployed today apply misuse detection as detection procedure. Misuse detection compares the recorded audit data with predefined patterns,...
Sebastian Schmerl, Hartmut König, Ulrich Fleg...
97
Voted
CCS
2007
ACM
15 years 4 months ago
Toward measuring network security using attack graphs
In measuring the overall security of a network, a crucial issue is to correctly compose the measure of individual components. Incorrect compositions may lead to misleading results...
Lingyu Wang, Anoop Singhal, Sushil Jajodia
EUROSYS
2008
ACM
15 years 7 months ago
Eudaemon: involuntary and on-demand emulation against zero-day exploits
Eudaemon is a technique that aims to blur the borders between protected and unprotected applications, and brings together honeypot technology and end-user intrusion detection and ...
Georgios Portokalidis, Herbert Bos