Multi-stage attack detection algorithm based on hidden markov model

Authors:
Nurbol Luktarhan;Xue Jia;Liang Hu;Nannan Xie
Affiliations:
Information Science and Engineering College, Xinjiang University, Urumqi, China;Information Science and Engineering College, Xinjiang University, Urumqi, China;Computer Science and Technology College, Jilin University, Changchun, China;Computer Science and Technology College, Jilin University, Changchun, China
Venue:
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Year:
2012

Citing 4
Cited 0

A requires/provides model for computer attacks

Proceedings of the 2000 workshop on New security paradigms
Adaptive, Model-Based Monitoring for Cyber Attack Detection

RAID '00 Proceedings of the Third International Workshop on Recent Advances in Intrusion Detection
Coverage and Generalization in an Artificial Immune System

GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Data mining and machine learning-Towards reducing false positives in intrusion detection

Information Security Tech. Report

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the growing amount and kinds of network intrusion, multi-stage attack is becoming the one of the main methos of the network security threaten. The hidden Markov model is a kind of probabilistic model, which is widely used in speech recognition, text and image processing. In this paper, a Multi-stage Attack Detection Algorithm Based on Hidden Markov Model is proposed.And inorder to improve the performance of this algorithm,aother algorithm aims at false positive filter is also put forward. Experiments show that the algorithm has good perfomance in multi-stage attack detection.