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KDD
2002
ACM
109views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
14 years 5 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
NDSS
2006
IEEE
14 years 1 months ago
Using Generalization and Characterization Techniques in the Anomaly-based Detection of Web Attacks
The custom, ad hoc nature of web applications makes learning-based anomaly detection systems a suitable approach to provide early warning about the exploitation of novel vulnerabi...
William K. Robertson, Giovanni Vigna, Christopher ...
OSDI
2008
ACM
14 years 8 months ago
Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions
Abstract ? Large enterprise networks consist of thousands of services and applications. The performance and reliability of any particular application may depend on multiple service...
Xu Chen, Ming Zhang, Zhuoqing Morley Mao, Paramvir...
FPL
2005
Springer
137views Hardware» more  FPL 2005»
14 years 1 months ago
Bitwise Optimised CAM for Network Intrusion Detection Systems
String pattern matching is a computationally expensive task, and when implemented in hardware, it can consume a large amount of resources for processing and storage. This paper pr...
Sherif Yusuf, Wayne Luk