Implementation survey of state of the art machine learning methods for malware detection in internet security-Reference-Cited by-同舟云学术

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Implementation survey of state of the art machine learning methods for malware detection in internet security

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INTERNATIONAL CONFERENCE ON APPLIED COMPUTATIONAL INTELLIGENCE AND ANALYTICS (ACIA-2022)
language:
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Author:

Mondal Biswajit,Koner Chandan,Dey Soumallya,Gupta Subir

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0133959

Reference17 articles.

1. TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning

2. P2TIF: A Blockchain and Deep Learning Framework for Privacy-Preserved Threat Intelligence in Industrial IoT

3. The measurement, intensity and determinants of fear of cybercrime: A systematic review

4. Multimedia security perspectives in IoT

5. Artificial Intelligence and Organizing Decision in Construction

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1. Improving Alexa’s response with sentiment analysis and comparing various machine learning models;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

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