Detection of Attacks and Anomalies in the Internet of Things System using Neural Networks Based on Training with PSO Algorithms, Fuzzy PSO, Comparative PSO and Mutative PSO

Mohammad Nazarpour; navid nezafati; Sajjad Shokouhyar

Detection of Attacks and Anomalies in the Internet of Things System using Neural Networks Based on Training with PSO Algorithms, Fuzzy PSO, Comparative PSO and Mutative PSO

Publish place: The Journal of Information Systems and Telecommunication (JIST)، Vol: 10، Issue: 40

Publish Year: 1400

Type: Journal paper

Language: English

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Link to this Paper:

https://civilica.com/doc/1886560

Document National Code:

JR_JIST-10-40_004

Index date: 16 January 2024

Detection of Attacks and Anomalies in the Internet of Things System using Neural Networks Based on Training with PSO Algorithms, Fuzzy PSO, Comparative PSO and Mutative PSO Keywords:

Attack detection

Detection of Attacks and Anomalies in the Internet of Things System using Neural Networks Based on Training with PSO Algorithms, Fuzzy PSO, Comparative PSO and Mutative PSO authors

Mohammad Nazarpour

Department of Information Technology Management, Islamic Azad University, Central Tehran Branch, Tehran, Iran.

navid nezafati

beheshti university

Sajjad Shokouhyar

Department of Information Technology Management, Islamic Azad University, Central Tehran Branch, Tehran, Iran.