DocumentCode :
1884342
Title :
IMMIX-intrusion detection and prevention system
Author :
Vasudeo, Sarode Harshal ; Patil, Pravin ; Kumar, R. Vinoth
Author_Institution :
M. Tech. Wireless & Network Security, Center for Dev. of Adv. Comput., Pune, India
fYear :
2015
fDate :
6-8 May 2015
Firstpage :
96
Lastpage :
101
Abstract :
Computer security has become a major problem in our society. Specifically, computer network security is concerned with preventing the intrusion of an unauthorized person into a network of computers. An intrusion detection system (IDS) is a tool to monitor the network traffic and users activity with the aim of distinguishing between hostile and non-hostile traffic. Most of current networks implement Misuse detection or Anomaly detection techniques for Intrusion detection. By deploying misuse based IDS it cannot detect unknown intrusions and anomaly based IDS have high false positive rate for detection. To overcome this, proposed system uses combination of both network based and host based IDPS as Hybrid Intrusion Detection and Prevention System which will be helpful for detecting maximum attacks on networks.
Keywords :
computer network security; telecommunication traffic; IDS; IMMIX-intrusion detection system; IMMIX-intrusion prevention system; anomaly detection; computer network security; misuse detection; non-hostile traffic; Classification algorithms; Clustering algorithms; Computers; Intrusion detection; Machine learning algorithms; Monitoring; anomaly based; attacks; classification; intrusion detection; intrusion prevention; misuse based;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-9854-8
Type :
conf
DOI :
10.1109/ICSTM.2015.7225396
Filename :
7225396
Link To Document :
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