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Volume & Issue no: Volume 4, Issue 3, March 2015

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Title:
Denial-Of -Service Attack Detection Using KDD
Author Name:
Pankaj Salunkhe, Mayur Shishupal
Abstract:
ABSTRACT Denial-Of-Service (DOS) is one of the most important attacks that a hacker can make in a computer network and exposes the vulnerability in the same. In Denial-Of-Service attack the attacker makes the resources unavailable to the legitimate users in the computer network by making the resources busy. So, even after being a legitimate user in the network, one cannot use that specific service which has been allotted to him by the network administrator. This type of attack can be stopped by using a device or software application called as Intrusion Detection System (IDS).IDS is a device that monitors network or system for malicious activities and produces reports to a management system regarding the same.There are generally two categories of IDS: misuse detection and anomaly detection.In this project we will be using a Genetic Algorithm (GA) based approach which will generate rules to detect DOS attacks. The GA will be trained on KDD (Knowledge discovery and data mining) cup 99 dataset to generate a rule set that can detect DOS attacks. The rule is applied on IDS system which has a function of data encryption for protecting packets from intruders. Keywords: Denial of Service, Intrusion Detection System, Genetic Algorithm, KDD.
Cite this article:
Pankaj Salunkhe, Mayur Shishupal , " Denial-Of -Service Attack Detection Using KDD" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 4, Issue 3, March 2015 , pp. 001-005 , ISSN 2319 - 4847.
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