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» Managing intrusion detection rule sets
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CSREASAM
2003
13 years 6 months ago
KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection
Automated rule induction procedures like machine learning and statistical techniques result in rules that lack generalization and maintainability. Developing rules manually throug...
Maheshkumar Sabhnani, Gürsel Serpen
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
13 years 6 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...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 9 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
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 5 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
ANCS
2006
ACM
13 years 8 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....