UGC Approved Journal no 63975(19)

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

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1806529


Registration ID:
183860

Page Number

193-198

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Title

Spyware detection and prediction for user applications

Abstract

A user application holds essential places in our day today life. Possibility of attacks on user application increases due to the sensitive data is on computer system. Mostly attackers uses application weakness to steels the user information. Spyware is one of the types of threat that takes user’s sensitive information without user knowledge. This proposal works states the method to detect malicious code and predict vulnerabilities using data mining techniques and classifiers to predict Spyware malicious files.

Key Words

Malware, Spyware, user application, data mining, user application, classifier.

Cite This Article

"Spyware detection and prediction for user applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.193-198, June-2018, Available :http://www.jetir.org/papers/JETIR1806529.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

"Spyware detection and prediction for user applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp193-198, June-2018, Available at : http://www.jetir.org/papers/JETIR1806529.pdf

Publication Details

Published Paper ID: JETIR1806529
Registration ID: 183860
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 193-198
Country: Bengaluru, Karanataka, Inda .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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