Modeling of Bayesian-Based Optimized Transfer Learning Model for Cyber-Attack Detection in Internet of Things Assisted Resource Constrained Systems

Security donates itself as one of the largest attacks on the support and development of the Internet of Things (IoT). Security challenges are evident in cyber-security threads that direct the main Internet service provider and weaken a significant part of the complete Internet by benefiting from def...

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Vydáno v:	IEEE access Ročník 12; s. 177298 - 177311
Hlavní autoři:	Alamro, Hayam, Mansouri, Wahida, Saeedi, Kawther, Alshammeri, Menwa, Aljabri, Jawhara, Abdullah Alotaibi, Faiz, Negm, Noha, Sharif, Mahir Mohammed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Algorithms Artificial intelligence Artificial neural networks Bayes methods Bayesian analysis Best practice Computational modeling Constraints Convolutional neural networks Cyberattack Cybersecurity cyberthreat detection Ensemble transfer learning Feature extraction improved coati optimization algorithm Internet of Things Internet service providers low power systems Machine learning Optimization Optimization algorithms Security Transfer learning
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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