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Title	Malicious Attack And Intrusion Prevention In Iot Network Using Blockchain Based Security Analysis
ID_Doc	36206
Authors	Sharma R.K.; Pippal R.S.
Year	2020
Published	Proceedings - 2020 12th International Conference on Computational Intelligence and Communication Networks, CICN 2020
DOI	http://dx.doi.org/10.1109/CICN49253.2020.9242610
Abstract	The Internet of Things (IoT) as a demanding technology require the best features of information security for effective development of the IoT based smart city and technological activity. There are huge number of recent security threats searching for some loopholes which are ready to exploit any network. Against the back-drop of recent rapidly growing technological advancement of IoT, security-threats have become a critical challenge which demand responsive and continuous action. As privacy and security exhibit an ever-present flourishing issue, so loopholes detection and analysis are indispensable process in the network. This paper presents Block chain based security analysis of data generated from IoT devices to prevent malicious attacks and intrusion in the IoT network. © 2020 IEEE.
Author Keywords	Block chain; Internet of Things; Intrusion Detection; IoT Network; Security Malicious Attack

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