With the use of decentralised ledger technology to increase resilience in IoT systems, this framework improves tamper-proof-ness of evidence handling in accordance with forensic requirements. By optimising the consensus mechanism, we can provide solutions to scalability issues that affect resource-constrained devices. Our testing supports this by showing that real-time authentication was improved using our decentralised approach as opposed to traditional centralised methods. The proposed framework allows effective and secure management of forensic evidence based on flexible encryption protocols and low overhead consensus protocols. The dynamic cryptography layer dynamically manages the encryption protocols based on the type and sensitivity of the evidence, thereby improving security and efficiency. Furthermore, we designed a Lightweight Proof-of-Authority (PoA) consensus mechanism that reduces the computing and storage overhead while allowing to maintain fast or real-time response for applications that require processing large volumes of evidence, and with easy scalability. We combined the framework with conventional forensic protocols to improve trans jurisdictional collaborations by overcoming another significant challenge with prior systems. The proposed framework has shown that is able to process more cases, better manage transaction workflow, and require fewer resources based on trials conducted with simulated forensic circumstances, and therefore surpassing current blockchain-based forensic models. We have also demonstrated experimentally that the model maintains functional requirements with extensive datasets in sufficient timeframes, and importantly without compromising evidentiary integrity and traceability in real time. This study advances digital forensics by offering rigorous, flexible, and legally defensible evidence management, which enables more reliable and efficient forensic analyses.
Nujumudeen et al. (Mon,) studied this question.