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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

عنوان مقاله: 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
شناسه ملی مقاله: JR_JIST-10-40_004
منتشر شده در در سال 1400
مشخصات نویسندگان مقاله:

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.

خلاصه مقاله:


کلمات کلیدی:
Attack detection

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1886560/