International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Oct. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 79
Paper Published : 1191
No. of Authors : 2992
  Journal Paper

Paper Title
MIDS: A Decentralized, Multi-Intrusion Detection System

Abstract
Over the past decade, information security has become a priority like no other. Due to no concrete method of monitoring what applications may be installed, unsuspecting users may inadvertently introduce vulnerabilities. Due to this oversight, malicious intruders can exploit the introduced vulnerabilities to mount any number of attacks. An example is a full Distributed Denial-of-Service (DDoS) attack which comprises of multi-step exploitation, vulnerability scanning, victimizing identified vulnerable virtual machines, converting them to zombies, and finally DDoS attacks through the victim machine s. Another example is a Man-in-the-Middle attack, where an attacker impersonates his/her victims before relaying independent messages, making it look like they are talking to each other. In lieu of this, we propose a decentralized, Multi- Intrusion Detection System (MIDS), which is built on an attack graph analytical model. Attack graphs depict ways in which an adversary can exploit vulnerabilities to break into a system. This will help us drastically improve attack detection and mitigate attack consequences. Keywords- Intrusion Detection System, Network, Security, Mul Ti-Intrusion, Attack Graph, DDoS, Man-in-the-Middl e


Author - Suraj Krishnamoorthy, Swapnil Girme, Akshay Nair, Abhishek Gaikwad, S.S. Pawar

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| Published on 2015-05-07
   
   
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