Improvement of attack detection performance on the internet of things with PSO-search and random forest

• Main Authors: Kurniabudi, Kurniabudi, Deris, Stiawan, Darmawijoyo, Darmawijoyo, Idris, Mohd. Yazid, Defit, Sarjon, Triana, Yaya Sudarya, Budiarto, Rahmat
• Format: Article
• Language: English
• Published: Elsevier Ltd. 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/103047/1/MohdYazidIdris2022_ImprovementofAttackDetectionPerformance.pdf; http://eprints.utm.my/103047/; https://dx.doi.org/10.1016/j.jocs.2022.101833
• Institution: Universiti Teknologi Malaysia

The presence of the internet of things allows various smart devices to be connected and interact with each other. Although IoT provides benefits in daily activities, however, with the presence of new technologies, IoT is vulnerable to new types of attacks. The massive IoT traffic results in a large...