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ICIAP
2005
ACM
14 years 10 months ago
Analyzing TCP Traffic Patterns Using Self Organizing Maps
The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically dete...
Stefano Zanero
CCS
2009
ACM
14 years 4 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
14 years 3 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 10 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
DSN
2006
IEEE
14 years 3 months ago
VoIP Intrusion Detection Through Interacting Protocol State Machines
Being a fast-growing Internet application, Voice over Internet Protocol (VoIP) shares the network resources with the regular Internet traffic, and is susceptible to the existing ...
Hemant Sengar, Duminda Wijesekera, Haining Wang, S...