UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 6
June-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Unique Identifier

Published Paper ID:
JETIR1506032


Registration ID:
150625

Page Number

1859-1864

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Title

HTTP BOTNET DETECTION USING DATA MINING APPROACH

Abstract

Among the diverse forms of malware, Botnet is the most widespread and serious threat which occurs commonly in today's cyber-attacks. A botnet is a group of compromised computers which are remotely controlled by hackers to launch various network attacks, such as DDoS attack, spam, click fraud, identity theft and information phishing. Botnet has become a popular and productive tool behind many cyber-attacks. The defining characteristic of botnets is the use of command and control channels through which they can be updated and directed. Recently malicious botnets evolve into HTTP botnets out of typical IRC botnets. Data mining algorithms allow us to automate detecting characteristics from large amount of data, which the conventional heuristics and signature based methods could not apply.

Key Words

Botnet, Botnet Detection, Apriori, HTTP Botnet, DDOS

Cite This Article

"HTTP BOTNET DETECTION USING DATA MINING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 6, page no.1859-1864, June-2015, Available :http://www.jetir.org/papers/JETIR1506032.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"HTTP BOTNET DETECTION USING DATA MINING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 6, page no. pp1859-1864, June-2015, Available at : http://www.jetir.org/papers/JETIR1506032.pdf

Publication Details

Published Paper ID: JETIR1506032
Registration ID: 150625
Published In: Volume 2 | Issue 6 | Year June-2015
DOI (Digital Object Identifier):
Page No: 1859-1864
Country: AHMEDABAD, GUJARAT, INDIA .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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