Predictive Analysis of Zero-Day Vulnerabilities Using Deep Neural Networks-Reference-Cited by-同舟云学术

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Predictive Analysis of Zero-Day Vulnerabilities Using Deep Neural Networks

Published:2023-12-08 Issue: Volume:6 Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG)
language:
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Author:

Sharma Vikalp¹,Khare Neha²,Yadav Santosh Kumar³

Affiliation:

1. IES College of Technology,Department of Computer Science & Engineering,Bhopal,Madhya Pradesh,India,462044

2. IES University,Department of Computer Science & Engineering,Bhopal,Madhya Pradesh,India,462044

3. IES College of Technology,Department of Electronics & Communication Engineering,Bhopal,Madhya Pradesh,India,462044

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455093/10455752/10456046.pdf?arnumber=10456046

Reference26 articles.

1. Zero-day attack detection using machine learning techniques;Patidar;International Journal of Research and Analytical Reviews,2019

2. Review of malware and techniques for combating zero-day attacks;Emmah;International Journal of Engineering Research and Technology,2017

3. Use of Data Visualisation for Zero-Day Malware Detection

4. A Survey on Zero-Day Polymorphic Worm Detection Techniques

5. A Framework for Zero Day Exploit Detection and Containment

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