Classifier Based Malware Detection Techniques-Reference-Cited by-同舟云学术

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Classifier Based Malware Detection Techniques

Published:2023-12-14 Issue: Volume:12 Page:1-4
ISSN:
Container-title:2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)
language:
Short-container-title:

Author:

Manikandan S.¹,Santhanam Suganthi²,Gayathiri R.³,Thangadurai M.¹,Sutha T.¹,Subha S.¹

Affiliation:

1. Kongunadu Polytechnic College,Computer Engineering,Tiruchirappalli,Tamilnadu,India

2. K. Ramakrishnan College of Technology,Electronics and Communication Engineering,Tiruchirappalli,Tamilnadu,India

3. Sri Sairam Engineering College,Electronics and Instrumentation,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447018/10448515/10449235.pdf?arnumber=10449235

Reference18 articles.

1. A Comprehensive Survey on Machine Learning Techniques for Android Malware Detection

2. A comprehensive survey on deep learning based malware detection techniques

3. A new deep boosted CNN and ensemble learning based IoT malware detection

4. Disarming visualization-based approaches in malware detection systems

5. A mobile malware detection method using behavior features in network traffic

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