| Title |
Forensics chain for evidence preservation system: An evidence preservation forensics framework for internet of things-based smart city security using blockchain |
| ID_Doc |
39194 |
| Authors |
Kamal, R; Hemdan, EE; El-Fishway, N |
| Title |
Forensics chain for evidence preservation system: An evidence preservation forensics framework for internet of things-based smart city security using blockchain |
| Year |
2022 |
| Published |
Concurrency And Computation-Practice & Experience, 34, 21 |
| DOI |
10.1002/cpe.7062 |
| Abstract |
In recent times, the new revolution of IoT facilitates communication and information sharing among people in different domains like a smart city. This revolution came with a risk of cyber-attacks that target devices and shared data. The digital evidence resulting from the digital forensics process applied to IoT devices must be kept safe for later analysis. Preserving digital evidence on a centralized server raises the risk of a single point of failure. Evidence preserving on cloud servers raises the tampering risk with the evidence or even sharing them with malicious third parties. Therefore, this paper presents a novel framework called Forensics Chain for Evidence Preservation System for IoT-based smart city security. The proposed framework aims to integrate blockchain with digital forensics to overcome the problems faced by forensic investigators; single point of failure and/or evidence modifications and enhance the security of preserving digital evidence via applying blockchain. Applying blockchain guarantees the immutability and data integrity of the preserved evidence. Furthermore, preserving the digital evidence among the forensic participant nodes eliminates the possibility of the single-point failure of a centralized storage server. The results provided a Proof of Concept for forensic evidence preservation based on blockchain and evaluated its performance. |
| Author Keywords |
blockchain; cybercrimes; cyber-security; digital evidence; digital forensics; evidence preservation; internet of things; intrusion detection |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000797889800001 |
| WoS Category |
Computer Science, Software Engineering; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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