Improving Digital Forensic Security A Secure Storage Model With Authentication And Optimal Key Generation Based Encryption
H. Sathish,
S. Hima Bindhu,
T. Shirisha,
M. Shashank,
M. Someshwar
Digital forensic data plays a critical role in cybercrime investigation and must be stored securely to
prevent unauthorized access, tampering, and data loss. Traditional digital forensic systems rely on
centralized storage mechanisms, which are vulnerable to security threats such as data modification,
insider attacks, and integrity violations. To address these challenges, this project proposes a secure
digital forensic data storage model with authentication and optimal key generation. The system uses
strong cryptographic techniques to ensure confidentiality, integrity, and controlled access to sensitive
forensic evidence. In the proposed approach, users must register and authenticate before accessing the
system. When forensic data is uploaded, the system encrypts the data using AES encryption algorithm
to protect confidentiality. A hash value is generated using secure hashing techniques to maintain data
integrity and detect any unauthorized modifications. The encrypted data is stored securely in the
database or cloud storage. Authorized users can search and retrieve forensic data, and decryption is
performed only after successful authentication. The admin module monitors system activities, manages
users, and verifies data integrity.
The proposed system improves security by preventing unauthorized access, ensuring tamperproof
storage, and enabling secure data retrieval. The implementation is developed using Java, MySQL
database, and secure cloud-based storage. Experimental results demonstrate that the system provides
reliable security, efficient data management, and integrity verification. This approach enhances trust in
digital forensic investigations and ensures safe handling of critical forensic evidence.
