An Efficient Malware Classification Model Using Convnets and GCN Techniques-Reference-Cited by-同舟云学术

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An Efficient Malware Classification Model Using Convnets and GCN Techniques

Published:2024-04-26 Issue: Volume:11 Page:1-5
ISSN:
Container-title:2024 International Conference on Computing and Data Science (ICCDS)
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Author:

Chakravarthy Antharaju K¹,Jabassum Asifa²,Karyamsetty Anilkumar³,Kumar V.Guru⁴,Kalyani Vangapandu Venkata⁵,Lakshmanarao A.¹

Affiliation:

1. Aditya Engineering College,Department of IT,Surampalem,India

2. B V Raju Institute of Technology(A),Department of CSBS,Narsapur,India

3. CMR Engineering College, kandlakoya, medchal,Department of IT,Hyderabad

4. BVC College Of Engineering,Department of CSE,Palacharla,A.P,India

5. Raghu Engineering College,Department of CSE,Dakamarri, Visakhapatnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560061/10560357/10560444.pdf?arnumber=10560444

Reference9 articles.

1. Machine Learning Approach for Malware Detection and Classification Using Malware Analysis Framework;Kumar;Int J Intell Syst Appl Eng,2023

2. An inception V3 approach for malware classification using machine learning and transfer learning

3. Malware Analysis and Detection Using Machine Learning Algorithms

4. Windows Malware Detection using Machine Learning and TF-IDF Enriched API Calls Information

5. Malware Family Classification using Active Learning by Learning

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