An Efficient and Resilient Technique for Malware Detection-Reference-Cited by-同舟云学术

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An Efficient and Resilient Technique for Malware Detection

Published:2023-11-28 Issue: Volume:8 Page:1-7
ISSN:
Container-title:2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM)
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Author:

Garg Umang¹,Dutta Subhajit¹,Gupta Aditya¹,Rawat Saurav Singh¹,Gupta Ashish²,Gupta Neha³

Affiliation:

1. Graphic Era Hill University,Computer Science and Engineering,Dehradun,India

2. Computer Science and Engineering Tulas Institute of Technology,Dehradun,India

3. Graphic Era Deemed to be University,Electronics and Communication Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434937/10434952/10435092.pdf?arnumber=10435092

Reference21 articles.

1. Malware Analysis Datasets: Top-1000 PE Imports;Oliveira;IEEE Dataport,2019

2. The future of artificial intelligence in cybersecurity: A comprehensive survey;Feng;EAI Endorsed Trans. Create. Tech,2021

3. Performance Evaluation of Machine Learning Classifiers in Malware Detection

4. IOTA Based Anomaly Detection Machine learning in Mobile Sensing

5. Detection of Advanced Malware by Machine Learning Techniques

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