A Novel Feature Vector for AI-Assisted Windows Malware Detection-Reference-Cited by-同舟云学术

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A Novel Feature Vector for AI-Assisted Windows Malware Detection

Published:2023-11-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

Yau Le Qi¹,Lam Yik Ting²,Lokesh Ashwin³,Gupta Prannaya⁴,Lim Justin⁴,Singh Ishneet Sukhvinder¹,Loo Jia-Yi⁵,Ngo Mao V.⁶,Teo Sin G.⁵,Truong-Huu Tram⁷

Affiliation:

1. Temasek Junior College,Singapore

2. Dunman High School,Singapore

3. Yishun Innova Junior College

4. NUS High School of Math and Science,Singapore

5. Agency for Science, Technology and Research,Singapore

6. Singapore University of Technology and Design,Singapore

7. Singapore Institute of Technology,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10361260/10360496/10361451.pdf?arnumber=10361451

Reference28 articles.

1. What is malware analysis? definition, types, stages, and best practices;BasuMallick;Spiceworks,2021

2. Limits of Static Analysis for Malware Detection

3. Metamorphic malware detection using opcode frequency rate and decision tree

4. Dynamic Malware Analysis with Feature Engineering and Feature Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Going beyond API Calls in Dynamic Malware Analysis: A Novel Dataset;Electronics;2024-09-06

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