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Paper Title : Cyberattack Detection in IoT- Based Smart City Network Traffic

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7263479

Authors: Dr. Subba Reddy Borra, D. R. Amrutha Nayana , G. Shanmukha Priya , G. Sahaja Yadav

         


Abstract
The rapid development of IoT has developed many issues in securing interconnected gadgets. IoT devices have security burdens, like meager device authentication/ authorization creating them prone to malware infection. These security issues present a far larger attack surface for attackers to take advantage of. GPU accelerated versions of Random Forest, K- Nearest Neighbor, Support Vector Machine (SVM), and Provision Regression classifiers to embody descriptions of pre-processing of IoT- Bonet dataset.

Reference
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Keywords
— IoT (Internet of Things), Cybersecurity, Random Forest, Network-based IDS.