Secure and Tamper-Proof Blockchain-Enabled Cybercrime Reporting and Evidence Management System

^1,2 Department of Computer Engineering and Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, India
³ Professor & Head, Department of CET, CBIT Hyderabad, India

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

With cybercrime constantly increasing, a more legitimate and secure digital evidence collection filing tool with an audit trail and immutability is necessary. However, central reporting/evidence tools are still vulnerable to hacking, exclusionary to any accessibility controls, and devoid of Chain of Custody requirements to prevent De Minimus reductions of legal admissibility. The Blockchain-Enabled Cybercrime Reporting and Evidence Collection System proposed is AES-256-GCM encryption and RSA signature and SHA-256 hash suited with, distributed stor- age via IPFS and Avalanche Fuji smart contracts to create the next level of legitimate digital evidence collections. AI detection of malicious intent is possible with the LSTM-BERT Hybrid Model trained to differentiate semantic intent and sentiment detection based. Ultimately, latency and cost assessed are low, in line with other studies and acceptable based on Avalanche Fuji blockchain operating standards. Improvements to in- tegrity are relative based on the more inquiries based on operability and Chain of Custody, the better. Therefore, this system functions as a foun- dation for more realistic implementation of a public reporting tool and forensic evidence collection tool that can be legally defensible.