An innovative disruptive malware detection and prediction of web vulnerability attackers using novel linear regression against logistic regression-Reference-Cited by-同舟云学术

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An innovative disruptive malware detection and prediction of web vulnerability attackers using novel linear regression against logistic regression

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings
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Author:

Jaswanth V.,Aishwarya B.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0178969

Reference49 articles.

1. Macro Malware Detection using Machine Learning Techniques - A New Approach

2. Semantic modelling of Android malware for effective malware comprehension, detection, and classification

3. AOS: An optimized sandbox method used in behavior-based malware detection

4. A Novel Malware Analysis Framework for Malware Detection and Classification using Machine Learning Approach

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