Securing IoT Environment using Machine Learning Techniques
Amit Sagu1, Nasib Singh Gill2
1Amit Sagu, Research Scholar, Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India.
2Nasib Singh Gill, Professor, Department of Computer Science & Applications, Maharshi Dayanad University, Rohtak, India.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 870-873 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5339029320/2020©BEIESP | DOI: 10.35940/ijeat.C5339.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: One of the most dynamic and invigorate advancement in information technology is advent of Internet of Things (IoT). IoT is territory of interrelated computational and digital devices with intelligence to transfer data. Along with swift expansion of IoT devices through the world security of things is not at expected height. As a consequence of ubiquitous nature of IoT environment most of the user do not have expertise or willingness to secure devices by themselves. Machine learning approach could be very effective to address security challenges in IoT environment. In recent related papers, the researcher have used machine learning techniques, approaches or methods for securing things in IoT environment. This paper attempts to review the related research on machine learning approaches to secure IoT devices.
Keywords: IoT, security challenges, machine learning.