IoT forensics: A state-of-the-art review, callenges and future directions
Conference item
Authors | Alenezi, Ahmed, Atlam, Hany, Alsagri, Reem, Alassafi, Madini and Wills, Gary |
---|---|
Abstract | The IoT is capable of communicating and connecting billions of things at the same time. The concept offers numerous benefits for consumers that alters how users interact with the technology. With this said, however, such monumental growth within IoT development also gives rise to a number of legal and technical challenges in the field of IoT forensics. Indeed, there exist many issues that must be overcome if effective IoT investigations are to be carried out. This paper presents a review of the IoT concept, digital forensics and the state-of-the-art on IoT forensics. Furthermore, an exploration of the possible solutions proposed in recent research and IoT forensics challenges that are identified in the current research literature are examined. Picks apart the challenges facing IoT forensics which have been established in recent literature. Overall, this paper draws attention to the obvious problems – open problems which require further efforts to be addressed properly. |
Keywords | Internet of Things; Digital Forensics; IoT Forensics |
Year | 2019 |
Journal | Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk |
Publisher | SCITEPRESS - Science and Technology Publications |
Digital Object Identifier (DOI) | https://doi.org/10.5220/0007905401060115 |
Web address (URL) | http://hdl.handle.net/10545/624925 |
http://creativecommons.org/licenses/by-sa/4.0/ | |
hdl:10545/624925 | |
ISBN | 9789897583667 |
File | File Access Level Open |
File | File Access Level Open |
File | File Access Level Open |
Publication dates | 10 May 2019 |
Publication process dates | |
Deposited | 19 Jun 2020, 10:52 |
Accepted | 01 Mar 2019 |
Rights | Attribution-ShareAlike 4.0 International |
Contributors | University of Southampton |
https://repository.derby.ac.uk/item/92276/iot-forensics-a-state-of-the-art-review-callenges-and-future-directions
Download files
File
![]() | license.txt | |
File access level: Open |
![]() | license_rdf | |
File access level: Open |
COMPLEXIS_2019_21.pdf | ||
File access level: Open |
560
total views309
total downloads6
views this month5
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
Experts 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-z
Security, 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/10.5220/0009413403490358
Intersections between IoT and distributed ledger
Atlam, Hany F. and Wills, Gary B. 2019. Intersections between IoT and distributed ledger. in: Advances in Computers Elsevier.
IoT 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-w
A 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