International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,April 2018,

Topic : Detecting Botnets with Tight Command and Control

Authors:T N Prakash || K .Nagendar Rao, Y.Harikrishna, P.Pujith Kumar

Abstract:Systems try to discover botnets by examining traffic content for IRC commands or by fitting honeynets. Our approach for detective work botnets is to look at flow characteristics reminiscent of information measure, duration, and packet temporal arrangement trying to find proof of botnet command and management activity. we've got made associate degree design that initial eliminates traffic that's unlikely to be a region of a botnet, classifies the remaining traffic into a bunch that's possible to be a part of a botnet, then correlates the possible traffic to search out common communications patterns that might counsel the activity of a botnet. Our results show that botnet proof is extracted from a traffic trace containing virtually nine million.

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DOI: 01.1617/vol5/iss4/pid75326


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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