A novel Network Intrusion Detection System (NIDS) based on signatures search of data mining

Authors:
Hu Zhengbing;Li Zhitang;Wu Junqi
Affiliations:
Huazhong University of Science and Technology/ Huazhong Normal University;Huazhong University of Science and Technology;Huazhong Normal University
Venue:
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
Year:
2008

Citing 2
Cited 1

Using a Hash-Based Method with Transaction Trimming for Mining Association Rules

IEEE Transactions on Knowledge and Data Engineering
Controlling Intrusion Detection Systems by Generating False Positives: Squealing Proof-of-Concept

LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks

WiFi miner: an online apriori-infrequent based wireless intrusion system

Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data

Quantified Score

Hi-index	0.00

Visualization

Abstract

Network security has been a very important issue, since the rising evolution of the Internet. There has been an increasing need for security systems against the external attacks from the hackers. One important type is the Intrusion Detection System (IDS). There are two major categories of the analysis techniques of IDS: the anomaly detection and the misuse detection. Here we forcus on misuse detection, the misuse detection collected the attack signatures in a database as the same as virus protection software to detect the relate attacks. we propose an algorithm to use the known signature to find the signature of the related attack quickly.