A meta data mining framework for botnet analysis

Haque, Afzal and Ayyar, Amrit Venkat and Singh, Sanjay (2019) A meta data mining framework for botnet analysis. International Journal of Computers and Applications, 41 (5). pp. 392-399. ISSN 1206-212X

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Abstract

Botnets are a group of compromised computers that act in a coordinated manner against a target determinedbyasinglepointofcontrol.Meta analysisofbotnetsiscrucialasitresultsinknowledge aboutthebotnet,oftenprovidingvaluableinformationtoresearcherswhoarelookingtoeradicateit. However, meta-analysis has not been applied from a research standpoint for botnets detection and analysis.ThispaperproposesaframeworkthatusesmodifiedimplementationofAprioridatamining algorithms on data-sets derived from end-user logs for meta-analysis. It also presents a case study following the proposed approach. The results of this case study present some interesting heuristics that can be used to eradicate the botnet. These heuristics include the indication of vulnerabilities, newtrendsinbotnetmalwareamongothers

Item Type: Article
Uncontrolled Keywords: Botnetdetection;botnet meta-datamining; optimizedapriorialgorithm
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 06 Aug 2019 09:24
Last Modified: 06 Aug 2019 09:24
URI: http://eprints.manipal.edu/id/eprint/154256

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