UGC Approved Journal no 63975(19)

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

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1811773


Registration ID:
191717

Page Number

566-571

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Title

DETECTING MALWARE IN ANDROID BASED DEVICES

Abstract

Smartphones are growing rapidly in terms of device functionality and providing increased amounts of knowledge with more advanced computing capabilities and connectivity than ordinary mobile phones. Incorporation of lot of features has prompted the increased usage of smartphones. Application development is one of those features where users can download wide range of applications to perform different tasks. The open nature of markets are resulting in several privacy and security concerns as malware developers are attempting to restructure the permissions of applications and upload those compromised applications in various sites. These malwares are trying to invade the personal information of the user, read communications without permissions and exploiting data with malicious intent. Moreover, many kinds of Android applications require too many permissions than which they need to provide user’s services. Testing and in-depth analysis is required on the features of the application permissions. In this paper, a background application service is proposed that can detect whether an application is a malware or not by performing analysis of application permissions on installation, identifying malicious characteristics and alerting the user.

Key Words

Smartphones, Malwares, Permissions, Privacy Intrusion, Feature Extraction

Cite This Article

"DETECTING MALWARE IN ANDROID BASED DEVICES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.566-571, November-2018, Available :http://www.jetir.org/papers/JETIR1811773.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

"DETECTING MALWARE IN ANDROID BASED DEVICES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp566-571, November-2018, Available at : http://www.jetir.org/papers/JETIR1811773.pdf

Publication Details

Published Paper ID: JETIR1811773
Registration ID: 191717
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 566-571
Country: visakhapatnam, AP, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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