Secure and Efficient Hierarchical P2P Fog Architecture: A Novel Approach for IoT

Murad, Saydul Akbar; Rahimi, Nick

doi:10.1109/jiot.2024.3365071

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Cited by 3 publications

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Enhancing IoT Network Defense: A Comparative Study of Machine Learning Algorithms for Attack Classification

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Communications in Computer and Information Science

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Enhancing IoT Network Defense: A Comparative Study of Machine Learning Algorithms for Attack Classification

McNair,

Precious-Esue,

Newson

et al. 2024

Communications in Computer and Information Science

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PopFL: A scalable Federated Learning model in serverless edge computing integrating with dynamic pop-up network

Singh,

Adhikari

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Entrepreneurship Opportunities in Cybersecurity

Rahimi,

Murad,

Lee

2024

Generating Entrepreneurial Ideas With AI

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Cybersecurity is becoming the center stage and the rightful stage for geopolitical and global business. With data privacy regulations in place, the world has experienced serious attacks. These attacks need specialized attention from highly skilled personnel to counter them. From the international perspective, venturing in cybersecurity business requires one to apply new approaches towards countering the attacks. Cybersecurity companies have raised over 21 billion dollars to create enough capital to enhance security and control. More cybersecurity unicorns such as Orca, Claroty, Wiz, Axonius and BigID have emerged to give their contribution. More and more entrepreneurs have identified this opportunity and are willing to benefit from such funding for easy startups. More than three million cybersecurity opportunities are yet to be exploited. This has been as a result of the talent gap between client's expectation and what service providers are able to offer. New entrepreneurs can utilize this opportunity and adopt the right technology when handling active cyber-attacks.

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Secure and Efficient Hierarchical P2P Fog Architecture: A Novel Approach for IoT

Cited by 3 publications

References 26 publications

Enhancing IoT Network Defense: A Comparative Study of Machine Learning Algorithms for Attack Classification

Enhancing IoT Network Defense: A Comparative Study of Machine Learning Algorithms for Attack Classification

PopFL: A scalable Federated Learning model in serverless edge computing integrating with dynamic pop-up network

Entrepreneurship Opportunities in Cybersecurity

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