Abstract

With the advancements in wireless internet technology, a new computing ecosystem, the Internet of Things(IoT), has ushered in numerous devices in many areas in our life as well as in industries. The IoT is a computing notion that describes a scenario in which objects we use everyday are accessible using the internet and can be controlled from anywhere (Kung, Y.F., et al., 2018. Home Monitoring System Based Internet of Things. 2018 IEEE International Conference on Applied System Invention (ICASI), April; IEEE. pp.325–327; Singh, S. and Singh, N., 2015. Internet of Things (IoT): Security Challenges, Business Opportunities and Reference Architecture for E-Commerce. 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), October; IEEE. pp.1577–1581). It could comprise devices with sensors to gather and broadcast data over the Internet (Singh, S. and Singh, N., 2015. Internet of Things (IoT): Security Challenges, Business Opportunities and Reference Architecture for E-Commerce. 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), October; IEEE. pp.1577–1581). As per report of the research firm Gartner, the number of IoT objects will surpass 11.2 billion by 2018, and 20.4 billion by 2020. By 2020, the IoT industries will make revenue of almost 3 trillion US Dollars. As IoT devices are largely used in various areas of importance, it will definitely bring a lot of interests to hackers. It is worthwhile to quote here that hackers took away more than Rs 78 crore by hacking into router of Cosmos Bank based in Pune by duplicating debit cards in August, 2018. They carried out about 12 thousand unethical transactions worth Rs 78 crore in 28 countries. Hence, it is necessary to consider data privacy so that we can protect the data with limited system resource and technology. This paper proposes a new key management scheme with entity authentication for IoT devices. The proposed scheme uses modified Tate pairing. The presented scheme is apposite for IoT devices such as sensor networks due to their lower computational requirements.

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