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Author

Mohammed Faisal

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Conference Aug 2026

ML-Driven Cloud Intrusion Detection … Automated Response using the BETH Dataset

Cloud infrastructure increasingly depends on automated security tools to detect and respond to threats at scale. This paper introduces a machine-learning-based intrusion detection and automated response framework, which is tested on the BETH dataset, a large set of Linux syscall events derived from honeypots. We develo...

Mallegowda M, I. Prabhu, Mohammed Faisal · 0 citations
Open access Sep 2026

Novel Approach for Intrusion Detection in IoT Networks Based on ResNet-ABC-Chatterjee Algorithm

The intrusion detection in the Internet of Things (IoT) network presents a number of difficulties, necessitating the skillful use of network device attributes for precise threat identification. With a multi-phase approach, this research provides a novel intrusion detection method. This technique takes advantage of the...

Mahmood Mohassel Feghhi, Raya Majid Alsharfa, Mohammed Faisal · 0 citations

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