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A Novel Anomaly Detection Approach to Secure APIs from Cyberattacks

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posted on 2022-05-19, 05:08 authored by Arshardh Ifthikar, Nipun Thennakoon, Sanjeewa Malalgoda, Harsha Kumara MoraliyageHarsha Kumara Moraliyage, Thamindu Jayawickrama, Tiroshan Madushanka, Saman Hettiarachchi
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History

Publication Date

2022-04-17

Proceedings

CEUR Workshop Proceedings

Editors

Sani, Sadiq Kalutarage, Harsha

Publisher

CEUR Workshop Proceedings

Pagination

(p. 113-126)

ISSN

1613-0073

Name of conference

Workshop on AI and Cybersecurity (AI-Cybersec 2021) co-located with 41st SGAI International Conference on Artificial Intelligence (SGAI 2021)

Location

Cambridge, United Kingdom

Starting Date

2021-12-14

Finshing Date

2021-12-14

Rights Statement

© 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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    Categories

    Keywords

    API securityanomaly detectionmachine learningK-Meansrandom forestsArtificial immune systemsAutoencodersAI driven cybersecurityArtificial Intelligence and Image ProcessingInformation Systems

    Licence

    CC BY 4.0

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