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BLOFF: A Blockchain-Based Forensic Model in IoT

BLOFF: A Blockchain-Based Forensic Model in IoT

Promise Agbedanu, Anca Delia Jurcut
Copyright: © 2021 |Pages: 15
ISBN13: 9781799875895|ISBN10: 179987589X|ISBN13 Softcover: 9781799886730|EISBN13: 9781799875901
DOI: 10.4018/978-1-7998-7589-5.ch003
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MLA

Agbedanu, Promise, and Anca Delia Jurcut. "BLOFF: A Blockchain-Based Forensic Model in IoT." Revolutionary Applications of Blockchain-Enabled Privacy and Access Control, edited by Surjit Singh and Anca Delia Jurcut, IGI Global, 2021, pp. 59-73. https://doi.org/10.4018/978-1-7998-7589-5.ch003

APA

Agbedanu, P. & Jurcut, A. D. (2021). BLOFF: A Blockchain-Based Forensic Model in IoT. In S. Singh & A. Jurcut (Eds.), Revolutionary Applications of Blockchain-Enabled Privacy and Access Control (pp. 59-73). IGI Global. https://doi.org/10.4018/978-1-7998-7589-5.ch003

Chicago

Agbedanu, Promise, and Anca Delia Jurcut. "BLOFF: A Blockchain-Based Forensic Model in IoT." In Revolutionary Applications of Blockchain-Enabled Privacy and Access Control, edited by Surjit Singh and Anca Delia Jurcut, 59-73. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-7589-5.ch003

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Abstract

In this era of explosive growth in technology, the internet of things (IoT) has become the game changer when we consider technologies like smart homes and cities, smart energy, security and surveillance, and healthcare. The numerous benefits provided by IoT have become attractive technologies for users and cybercriminals. Cybercriminals of today have the tools and the technology to deploy millions of sophisticated attacks. These attacks need to be investigated; this is where digital forensics comes into play. However, it is not easy to conduct a forensic investigation in IoT systems because of the heterogeneous nature of the IoT environment. Additionally, forensic investigators mostly rely on evidence from service providers, a situation that can lead to evidence contamination. To solve this problem, the authors proposed a blockchain-based IoT forensic model that prevents the admissibility of tampered logs into evidence.

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