Android Malware Detection And Family Classification using Permission Features With Intrusion Awareness-Reference-Cited by-同舟云学术

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Android Malware Detection And Family Classification using Permission Features With Intrusion Awareness

Published:2023-12-13 Issue: Volume:15 Page:11-16
ISSN:
Container-title:2023 OITS International Conference on Information Technology (OCIT)
language:
Short-container-title:

Author:

Pardhi Praful R.¹,Kumar Rout Jitendra²,Bais Vanshika V.³,Pawar Kapil V.³,Yadav Mamta R.³,Gade Harsh C.³

Affiliation:

1. KIIT Deemed to be University,School of Computer Engineering,Bhubaneswar,India

2. National Institute of Technology,Department of Computer Science & Engineering,Raipur,India

3. Shri Ramdeobaba College of Engineering & Management,Department of Computer Science & Engineering,Nagpur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430418/10430505/10431229.pdf?arnumber=10431229

Reference17 articles.

1. An Adaptive Dataset for the Evaluation of Android Malware Detection Techniques

2. Web-Based Android Malicious Software Detection and Classification System

3. Android (Nougats) security issues and solutions

4. Effective classification of android malware families through dynamic features and neural networks

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