Ben Atitallah S on Muck Rack

Ben Atitallah S

As seen in: PeerJ
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Articles

Evaluating the efficacy of AI-driven intrusion detection systems in IoT: a review of performance metrics and cybersecurity threats

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By Jianwei Tian, Ben Atitallah S, Ahmed MAO, El-Shafeiy E
| PeerJ
This meta-analysis offers a well-rounded look at how effective AI-driven IDSs are in protecting IoT networks. By analyzing findings from numerous empirical studies, it becomes clear that AI technologies especially those that use machine learning and deep learning consistently outperform traditional intrusion detection systems when it comes to identifying and managing cyber threats.
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Artificial intelligence-driven malware detection framework for internet of things environment

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By Al Razib M, Ali MU, Mohammed MA, Ben Atitallah S
| PeerJ
Introduction The Internet of Things (IoT) connects the real and virtual worlds (Mu et al., 2021; Ben Atitallah, Driss & Almomani, 2022). New business models and global interactions emerge as people, products, technologies, and the internet become more interconnected (Kumar, Janet & Neelakantan, 2022).
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