Quantitative Analysis of Worm Transmission and Insider Risks in Air-Gapped Networking Using a Novel Machine Learning Approach

Muhammad Sulaiman, Awais Khan, Addisu Negash Ali, Ghaylen Laouini, Fahad Sameer Alshammari

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Fingerprint

Dive into the research topics of 'Quantitative Analysis of Worm Transmission and Insider Risks in Air-Gapped Networking Using a Novel Machine Learning Approach'. Together they form a unique fingerprint.

Computer Science

Chemical Engineering

Mathematics