UGC Approved Journal no 63975(19)

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

Volume 9 Issue 3
March-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2203651


Registration ID:
321962

Page Number

g380-g384

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Title

An Efficient Technique of Android Malware Prediction with Performance Improvement

Abstract

Android malware is malicious software that targets a specific type of device: the Android device. Android's less secure platform, such as its Play Store where applications are downloaded, and users' ability to sideload content from the internet creates an environment where malware can thrive. This paper presents an efficient technique of android malware prediction with performance improvement. The simulation is performed using python sypder 3.7 software. The simulation results show the improvement in the performance parameters.

Key Words

Android, Malware, Artificial intelligence, PCA, MLP, AUC, SVM.

Cite This Article

"An Efficient Technique of Android Malware Prediction with Performance Improvement", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.g380-g384, March-2022, Available :http://www.jetir.org/papers/JETIR2203651.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

"An Efficient Technique of Android Malware Prediction with Performance Improvement", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppg380-g384, March-2022, Available at : http://www.jetir.org/papers/JETIR2203651.pdf

Publication Details

Published Paper ID: JETIR2203651
Registration ID: 321962
Published In: Volume 9 | Issue 3 | Year March-2022
DOI (Digital Object Identifier):
Page No: g380-g384
Country: , , .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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