Intersections between IoT and distributed ledger
Book chapter
| Authors | Atlam, Hany F. and Wills, Gary B. |
|---|---|
| Abstract | The Internet of Things (IoT) is growing exponentially. It allows not only humans but also all various devices and objects in the environment to be connected over the Internet to share their data to create new applications and services which result in a more convenient and connected lifestyle. However, the current centralized IoT architecture faces several issues. For instance, all computing operations of all nodes in the network are carried out using a single server. This creates a single point of failure in which if the server goes down, the entire system will be unavailable. Also, the IoT centralized architecture is an easy target of various types of security and privacy attacks, since all IoT data collected from different devices is under the full authority of a single server. Therefore, adopting one of the Distributed Ledger Technologies (DLTs) for the IoT may be the right decision. One of the popular types of DLTs is the blockchain. It provides an immutable ledger with the capability of maintaining the integrity of transactions by decentralizing the ledger among participating nodes in the blockchain network which eliminates the need for a central authority. Integrating the IoT system with the blockchain technology can provide several benefits which can resolve the issues associated with the IoT centralized architecture. Therefore, this chapter provides a discussion of the intersection between IoT and DLTs. It started by providing an overview of the DLT by highlighting its main components, benefits and challenges. The centralized IoT system is also discussed with highlighting its essential limitations. Then, the integration of blockchain with IoT is presented by highlighting the integration benefits. Various application and challenges of integrating blockchain with IoT are also discussed. |
| Keywords | Distributed ledger; Internet of things; Blockchain with IoT; Blockchain |
| Year | 2019 |
| Book title | Advances in Computers |
| Role of Blockchain Technology in IoT Applications | |
| Publisher | Elsevier |
| ISBN | 9780128171899 |
| ISSN | 0065-2458 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/bs.adcom.2018.12.001 |
| Web address (URL) | http://hdl.handle.net/10545/624921 |
| https://www.elsevier.com/tdm/userlicense/1.0/ | |
| http://creativecommons.org/licenses/by-sa/4.0/ | |
| hdl:10545/624921 | |
| File | File Access Level Open |
| File | File Access Level Open |
| Publication dates | 14 Jan 2019 |
| Publication process dates | |
| Deposited | 19 Jun 2020, 10:27 |
| Accepted | 05 Dec 2018 |
| Rights | Attribution-ShareAlike 4.0 International |
| Contributors | University of Southampton and Menoufia University, Shebeen El-Kom, Egypt |
https://repository.derby.ac.uk/item/93657/intersections-between-iot-and-distributed-ledger
Download files
56
total views0
total downloads3
views this month0
downloads this month
Export as
Related outputs
Deep labeller: automatic bounding box generation for synthetic violence detection datasets
Nadeem, M., Kurugollu, F., Saravi, S., Atlam, H. and Franqueira, V. 2023. Deep labeller: automatic bounding box generation for synthetic violence detection datasets. Multimedia Tools and Applications. pp. 1-18. https://doi.org/10.1007/s11042-023-15621-5Business Email Compromise Phishing Detection Based on Machine Learning: A Systematic Literature Review
Atlam, H. and Olayonu Oluwatimilehin 2022. Business Email Compromise Phishing Detection Based on Machine Learning: A Systematic Literature Review. Electronics. 12 (1), pp. 1-28. https://doi.org/10.3390/electronics12010042ANFIS for risk estimation in risk-based access control model for smart homes
Atlam, H. and Gary B. Wills 2022. ANFIS for risk estimation in risk-based access control model for smart homes. Multimedia Tools and Applications. pp. 1-30. https://doi.org/10.1007/s11042-022-14010-8DEEPSEL: A novel feature selection for early identification of malware in mobile applications
Muhammad Ajmal Azad, Farhan Riaz, Anum Aftab, Syed Khurram Jah Rizvi, Junaid Arshad, Hany F. Atlam and Atlam, H. 2021. DEEPSEL: A novel feature selection for early identification of malware in mobile applications. Future Generation Computer Systems. 129, pp. 54-63. https://doi.org/10.1016/j.future.2021.10.029
IoT forensics: A state-of-the-art review, callenges and future directions
Alenezi, Ahmed, Atlam, Hany, Alsagri, Reem, Alassafi, Madini and Wills, Gary 2019. IoT forensics: A state-of-the-art review, callenges and future directions. SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0007905401060115Experts reviews of a cloud forensic readiness framework for organizations
Alenezi, Ahmed, Atlam, Hany F. and Wills, Gary B. 2019. Experts reviews of a cloud forensic readiness framework for organizations. Journal of Cloud Computing. 8 (1). https://doi.org/10.1186/s13677-019-0133-zSecurity, cybercrime and digital forensics for IoT
Atlam, Hany F., Alenezi, Ahmed, Alassafi, Madini O., Alshdadi, Abdulrahman A. and Wills, Gary B. 2019. Security, cybercrime and digital forensics for IoT. in: Intelligent Systems Reference Library Springer International Publishing.A famework for data sharing between healthcare providers using blockchain
Alzahrani, Ahmed G., Alenezi, Ahmed, Atlam, Hany F. and Wills, Gary 2020. A famework for data sharing between healthcare providers using blockchain. Proceedings of the 5th International Conference on Internet of Things, Big Data and Security. https://doi.org/10.5220/0009413403490358IoT security, privacy, safety and ethics
Atlam, Hany F. and Wills, Gary B. 2019. IoT security, privacy, safety and ethics. in: Internet of Things Springer International Publishing.Fuzzy logic with expert judgment to implement an adaptive risk-based access control model for IoT
Atlam, Hany F., Walters, Robert J., Wills, Gary B. and Daniel, Joshua 2019. Fuzzy logic with expert judgment to implement an adaptive risk-based access control model for IoT. Mobile Networks and Applications. https://doi.org/10.1007/s11036-019-01214-wA validation of security determinants model for cloud adoption in Saudi organisations’ context
Alassafi, Madini O., Atlam, Hany F., Alshdadi, Abdulrahman A., Alzahrani, Abdullah I., AlGhamdi, Rayed A. and Buhari, Seyed M. 2019. A validation of security determinants model for cloud adoption in Saudi organisations’ context. International Journal of Information Technology. https://doi.org/10.1007/s41870-019-00360-4