Research Area:  Internet of Things

Abstract:

The goal of this paper is to understand the effectiveness of machine learning (ML) algorithms in combatting IoT-related cyber-attacks, with a focus on Denial of Service (DoS) attacks. This paper also explores the overall vulnerabilities of IoT devices to cyber-attacks, and it investigates other datasets that can be used for IoT cyber-defense analysis, using ML techniques. Finally, this paper presents an evaluation of the CICDoS2019 dataset, using the Logistic Regression (LR) algorithm. With this algorithm, a prediction accuracy of 0.997 was achieved.

Keywords:  

Author(s) Name:  Steve Chesney,Kaushik Roy,Sajad Khorsandroo

Publisher name:  Springer

DOI:  10.1007/978-3-030-55190-2_53

Volume Information:  

Paper Link:   https://link.springer.com/chapter/10.1007/978-3-030-55190-2_53