A Novel Anomaly Detection Approach to Secure APIs from Cyberattacks

Ifthikar, Arshardh; Thennakoon, Nipun; Malalgoda, Sanjeewa; Moraliyage, Harsha Kumara; Jayawickrama, Thamindu; Madushanka, Tiroshan; Hettiarachchi, Saman

doi:10.26181/19640526.v1

1199496_Ifthikar,A_2022.pdf (347.45 kB)

A Novel Anomaly Detection Approach to Secure APIs from Cyberattacks

conference contribution

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

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Conference Papers

Keywords

API security anomaly detection machine learning K-Means random forests Artificial immune systems Autoencoders AI driven cybersecurity

Licence

CC BY 4.0

A Novel Anomaly Detection Approach to Secure APIs from Cyberattacks

History

Publication Date

Proceedings

Editors

Publisher

Pagination

ISSN

Name of conference

Location

Starting Date

Finshing Date

Rights Statement

Usage metrics

Categories

Keywords

Licence

Exports