A highly secured intrusion detection system for IoT using EXPSO-STFA feature selection for LAANN to detect attacks

The Internet of Things (IoT) is a modern age technology, designed with the vision to connect and also interconnect all the objects everywhere. Technological progressions provide businesses with many comforts as well as helps the attackers and intruders to crack the IoT networks’ security. Numerous I...

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Veröffentlicht in:	Cluster computing 2023-02, Vol.26 (1), p.559-574
Hauptverfasser:	Jeyaselvi, M., Dhanaraj, Rajesh Kumar, Sathya, M., Memon, Fida Hussain, Krishnasamy, Lalitha, Dev, Kapal, Ziyue, Wang, Qureshi, Nawab Muhammad Faseeh
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Blockchain Computer Communication Networks Computer Science Computing time Correlation coefficients Cybersecurity Data acquisition Datasets False alarms Feature extraction Feature selection Internet of Things Intrusion Intrusion detection systems Knowledge acquisition Neural networks Operating Systems Parameter sensitivity Particle swarm optimization Processor Architectures Progressions Sea turtles Support vector machines
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