UGC Approved Journal no 63975(19)

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

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRBD06010


Registration ID:
205450

Page Number

46-50

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Title

DETECTION OF MALICIOUS ACTIVITIES (DOMAIN, CODE, URL, USERS BEHAVIOUR ANALYSIS) BY USING J48

Abstract

Malware is malicious software consist of malignant program code which are synchronized by attackers. It has becomes essential task for detecting and analysing malicious activity for domain, code ,URL, User behavior in large scale social network.Research work have discovered around 1million new malware samples per quarter. Hence the paper has proposed the framework to combine “runtime behavior” with “static structures” to detect malware variants.Committing financial fraud and propagating malware and spam are very common criminal actions for people engaged in accessing uniform resource locators (URLs) and online social networks (OSN). OSNs also open the door for harmful activities and behaviors. URLs are malicious which redirects users to phishing (malicious) websites Thus to stop such activity a spam and malicious URLs detection system is required by removing spam content and malicious URLs in Email. This paper proposed methodology for “Detection of malicious activities (domain, code, URL, users behaviour analysis) by using J48”.To solve the problem, this paper proposed the integrated machine learning methods and framework consisting of J48 in detecting the malware accurately.

Key Words

malicious domain, malware, user behaviors, malicious URLS, malicious activity, spam detection, Network Service Provider, social network,J48.

Cite This Article

"DETECTION OF MALICIOUS ACTIVITIES (DOMAIN, CODE, URL, USERS BEHAVIOUR ANALYSIS) BY USING J48", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.46-50, April-2019, Available :http://www.jetir.org/papers/JETIRBD06010.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

"DETECTION OF MALICIOUS ACTIVITIES (DOMAIN, CODE, URL, USERS BEHAVIOUR ANALYSIS) BY USING J48", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp46-50, April-2019, Available at : http://www.jetir.org/papers/JETIRBD06010.pdf

Publication Details

Published Paper ID: JETIRBD06010
Registration ID: 205450
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 46-50
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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