DocumentCode :
2431696
Title :
AgentOuro: A Novelty Based Intrusion Detection and Prevention System
Author :
Rathore, Jitendra Singh ; Saurav, P. ; Verma, Brijesh
Author_Institution :
Dept. of Comput. Sci. & Eng., Technocrats Inst. of Technol., Bhopal, India
fYear :
2012
fDate :
3-5 Nov. 2012
Firstpage :
695
Lastpage :
699
Abstract :
The world is more interconnected now due to the exponential growth of internet and its viability to the number of users through its various applications. This has also introduced many naïve and attack prone users to the network. The biggest challenge for today is to protect these users from any incident that can lead their mistrust towards the whole system. Intrusion is an act which is undesirable and can lead to losses in many forms of different magnitudes. IDPS (Intrusion detection and prevention) is a very important tool which not only detects the intrusion of unauthorized and suspicious activities that can compromise the security pillars (Authentication, availability, Confidentiality and Integrity) of data or information but also prevents the unexpected event. In this paper a new scheme for IDPS with the integration of Mobile Agents is proposed which looks after the anomalies and responds by taking suitable measures with the help of agents.
Keywords :
Internet; authorisation; data integrity; data privacy; mobile agents; AgentOuro; IDPS; Internet; anomaly; attack prone user; data authentication; data availability; data confidentiality; data integrity; intrusion prevention system; mobile agent; novelty based intrusion detection system; security pillar; suspicious activity; unauthorized activity; user protection; Engines; IP networks; Internet; Intrusion detection; Mobile agents; Telecommunication traffic; Agent; Anomaly; Anomaly Detection; IDPS; IDS; IPS; Intrusion; MAS; Mobile Agent; ourmon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
Type :
conf
DOI :
10.1109/CICN.2012.39
Filename :
6375202
Link To Document :
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