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» Network Intrusion Detection Using FP Tree Rules
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IRI
2005
IEEE
14 years 1 months ago
Exploiting efficient data mining techniques to enhance intrusion detection systems
- Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS) is an important detection that is used as a countermeasure to preserv...
Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Mana...
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
13 years 9 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
ANCS
2006
ACM
13 years 11 months ago
Packet pre-filtering for network intrusion detection
As Intrusion Detection Systems (IDS) utilize more complex syntax to efficiently describe complex attacks, their processing requirements increase rapidly. Hardware and, even more, ...
Ioannis Sourdis, Vassilis Dimopoulos, Dionisios N....
ACNS
2009
Springer
113views Cryptology» more  ACNS 2009»
13 years 11 months ago
Fast Packet Classification Using Condition Factorization
Abstract. Rule-based packet classification plays a central role in network intrusion detection systems such as Snort. To enhance performance, these rules are typically compiled int...
Alok Tongaonkar, R. Sekar, Sreenaath Vasudevan
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 11 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok