Threats and Corrective Measures for IoT Security with Observance of Cybercrime: A Survey
October 17, 2020 ยท The Cartographer ยท ๐ arXiv.org
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"Title-pattern auto-detect: Threats and Corrective Measures for IoT Security with Observance of Cybercrime: A Survey"
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Authors
Sita Rani, Aman Kataria, Vishal Sharma, Smarajit Ghosh, Vinod Karar, Kyungroul Lee, Chang Choi
arXiv ID
2010.08793
Category
cs.NI: Networking & Internet
Citations
0
Venue
arXiv.org
Last Checked
4 days ago
Abstract
Internet of Things (IoT) is the utmost assuring framework to facilitate human life with quality and comfort. IoT has contributed significantly to numerous application areas. The stormy expansion of smart devices and their credence for data transfer using wireless mechanics boosts their susceptibility to cyber-attacks. Consequently, the rate of cybercrime is increasing day by day. Hence, the study of IoT security threats and possible corrective measures can benefit the researchers to identify appropriate solutions to deal with various challenges in cybercrime investigation. IoT forensics plays a vital role in cybercrime investigations. This review paper presents an overview of the IoT framework consisting of IoT architecture, protocols, and technologies. Various security issues at each layer and corrective measures are also discussed in detail. This paper also presents the role of IoT forensics in cybercrime investigation in various domains like smart homes, smart cities, automated vehicles, healthcare, etc. Along with the role of advanced technologies like Artificial Intelligence, Machine Learning, Cloud computing, Edge computing, Fog computing, and Blockchain technology in cybercrime investigation are also discussed. At last, various open research challenges in IoT to assist cybercrime investigation are explained, which provide a new direction for further research.
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