Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection-Reference-Cited by-同舟云学术

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)
language:
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Author:

Akter Mst Shapna¹,Shahriar Hossain²,Iqbal Ahamed Sheikh³,Datta Gupta Kishor⁴,Rahman Muhammad⁵,Mohamed Atef⁶,Rahman Mohammad⁷,Rahman Akond⁸,Wu Fan⁹

Affiliation:

1. Kennesaw State University,Dept. of Computer Science,Kennesaw,USA

2. Kennesaw State University,Dept. of Information Technology,Kennesaw,USA

3. Marquette University,Dept. of Computer Science,Wisconsin,USA

4. Clark Atlanta University,Dept. of Computer Science,Georgia,USA

5. Clayton State University,Dept. of Information Technology,Morrow,USA

6. Georgia Southern University,Dept. of Information Technology,Georgia

7. Florida International University,Dept. of Electrical and Computer Engineering,Florida,USA

8. Auburn University,Dept. of Computer Science and Software Engineering,Auburn,USA

9. Tuskegee University,Dept of Computer Science,Tuskegee,USA

Funder

National Science Foundation

Publisher

IEEE

Link

Reference24 articles.

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