Securing IoT Environment using Machine Learning Techniques
Creators
- 1. Research Scholar, Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India.
- 2. Professor, Department of Computer Science & Applications, Maharshi Dayanad University, Rohtak, India.
Contributors
- 1. Publisher
Description
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.
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C5339029320.pdf
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Additional details
Related works
- Is cited by
- Journal article: 2249-8958 (ISSN)
Subjects
- ISSN
- 2249-8958
- Retrieval Number
- C5339029320/2020©BEIESP