Advanced Security In Digital Forensics: Authenticated Storage with Key Based Encryption

The field of digital forensics faces significant challenges in ensuring the protection and integrity of digital evidence. Cloud forensics, an evolution of traditional digital forensics, seeks to safeguard evidence from online threats; however, centralized evidence collection and storage can compromise its reliability. This paper presents a novel approach to digital forensic architecture, titled "Advanced Security in Digital Forensics: Authenticated Storage with Key-Based Encryption." The architecture incorporates a secure block verification mechanism (SBVM) for authentication, and secret keys are generated using an Enhanced Equilibrium Optimizer (EEO) model. Data encryption is performed using Elliptic Curve Cryptography (ECC) to ensure robust security. The encrypted data is then securely stored on the cloud server. Simulation results demonstrate that this model outperforms contemporary approaches across multiple performance metrics, offering enhanced security, reliability, and efficiency for digital forensics in cloud environments.

Keywords: Digital forensics, cloud forensics, secure block verification mechanism, optimal key generation, enhanced equilibrium optimizer, Elliptic Curve Cryptography, data encryption, cloud storage, digital evidence security, forensics architecture, performance metrics.