Comparison of Various Classification Techniques in Cyber Security Using Iot


  • Urvashi Sangwan Ph.D Scholar, Department of Computer Science and Applications Maharshi Dayanand University, Rohtak
  • Rajender Singh Chhillar Professor, Department of Computer Science and Applications Maharshi Dayanand University, Rohtak


Internet of things, Security, machine learning, classification


The Internet of Things (IoT) devices connected to internet increases rapidly in past decade and expected to add more in coming years. These are small devices and many of them hold personal information saved in it. That’s why it needs to be cyber secure so that attackers or intruder don’t misuse anyone’s useful information. As IoT devices are small in size and the security standards lack here that are applicable for non IoT devices. There is a need to prevent attackers to intrude. In this regard this research paper is an attempt to study machine learning (ML) algorithms that are recently used in securing these devices. In this paper various machine learning classification techniques are used and compared. 


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How to Cite

U. . Sangwan and R. S. . Chhillar, “Comparison of Various Classification Techniques in Cyber Security Using Iot”, Int J Intell Syst Appl Eng, vol. 10, no. 3, pp. 334–339, Oct. 2022.



Research Article