INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A Case Study on Android Malware Analysis using Hindroid
Authors Name:
Anu Varghese
, Dr.Jagadeesha S N
Unique Id:
IJSDR2211101
Published In:
Volume 7 Issue 11, November-2022
Abstract:
Background/Purpose: The improvement in technology made the smart phone more familiar to common people and also the current situation demands it. Most of the services are digitalized nowadays. This opened up a wide field for the hackers or intruders and the rate of cyber-attacks and cyber-crimes are high. The malware has turned into a major industry as hackers grow more sophisticated and professional. The defenders and hackers are in a race to defeat each other. Machine learning based techniques has shown a higher rate in successful malware detection. In this paper discusses about Hindroid, an intelligent android malware detection system based on structured heterogeneous information network, which uses a static analysis method to identify malware. It analyses the various relationships in API calls and creates higher level semantics. Design/Methodology/Approach: SWOT framework is being used to analyse and display the information gathered from scholarly articles, web articles, journals and other sources. Findings/Results: Compared with other detection methods, Hindroid claims to outperform with 98.6% accuracy. It claims 99.01% detection rate compared to other security products like clean master, lookout, Norton etc Originality/Value: This study gives an overview of Android Malware Analysis based on the various data collected. Paper Type: Research Analysis based on Case Study
Keywords:
Malware, Hindroid, API
Cite Article:
"A Case Study on Android Malware Analysis using Hindroid", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.739 - 746, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211101.pdf
Downloads:
000336258
Publication Details:
Published Paper ID: IJSDR2211101
Registration ID:202605
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 739 - 746
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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