Decompiled APK based malicious code classification-Reference-Cited by-同舟云学术

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Decompiled APK based malicious code classification

Published:2020-09 Issue: Volume:110 Page:135-147
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Mateless Roni,Rejabek Daniel,Margalit Oded,Moskovitch Robert

Funder

International Business Machines Corporation (IBM) Cyber Security Center of Excellence

Ben-Gurion University, Israel

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference49 articles.

1. Automated static code analysis for classifying android applications using machine learning;Shabtai,2010

2. Detecting repackaged smartphone applications in third-party android marketplaces;Zhou,2012

3. Puma: permission usage to detect malware in android;Sanz,2012

4. PScout: analyzing the Android permission specification;Au,2012

5. Android permissions: a perspective combining risks and benefits;Sarma,2012

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3. A survey on machine learning techniques applied to source code;Journal of Systems and Software;2024-03

4. DCDroid: An APK Static Identification Method Based on Naïve Bayes Classifier and Dual‐Centrality Analysis;IET Information Security;2024-01

5. Malicious program ontology rule set based on association decision and linear discriminant;International Journal of Electronic Security and Digital Forensics;2024

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