Authors Mohan DasDepartment of Computer Science Engineering (Cyber Security), GATES Institute of Technology, Gooty, Andhra Pradesh, IndiaM BhargaviDepartment of Computer Science Engineering (Cyber Security), GATES Institute of Technology, Gooty, Andhra Pradesh, IndiaP Kamal KumarDepartment of Computer Science Engineering (Cyber Security), GATES Institute of Technology, Gooty, Andhra Pradesh, IndiaG ChaitraDepartment of Computer Science Engineering (Cyber Security), GATES Institute of Technology, Gooty, Andhra Pradesh, IndiaM VardhanDepartment of Computer Science Engineering (Cyber Security), GATES Institute of Technology, Gooty, Andhra Pradesh, IndiaB KartheekDepartment of Computer Science Engineering (Cyber Security), GATES Institute of Technology, Gooty, Andhra Pradesh, IndiaB Jaya PrakashDepartment of Computer Science Engineering (Cyber Security), GATES Institute of Technology, Gooty, Andhra Pradesh, India Abstract Digital forensics has become an essential domain in cybercrime investigations, where digital text evidence such as emails, chat logs, documents, and system logs plays a vital role. Ensuring the authenticity and integrity of such evidence is critical, as even minor alterations can invalidate legal proceedings and forensic conclusions. Traditional systems primarily focus on encrypting data to protect confidentiality but often overlook integrity verification before decryption. The increasing frequency of cyber-attacks and digital fraud highlights the need for forensic systems that not only secure evidence but also verify its originality. Without proper integrity checks, encrypted evidence may still be tampered with, leading to unreliable forensic out-comes. To address these challenges, Twin Route Forensics introduces a secure and reliable framework that combines authentication, encryption, and hash-based verification. The system ensures that text evidence can only be restored after successful integrity validation, thereby improving the credibility and reliability of dig-ital forensic investigations. Keywords Digital Forensics Cryptography Advanced Encryption Standard (AES) SHA-256 Data Integrity Verification Citation of this Article . Licence Copyright (c) 2026 Current Journal of Engineering and Science Research. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence. References .