THE APPLICATION OF COMPUTER TECHNOLOGIES IN DIGITAL FORENSICS: PROSPECTS AND CHALLENGES

Abstract

Digital forensics, a vital aspect of forensic science, involves the identification, analysis, and presentation of digital evidence. The integration of computer technologies, explored in recent works by Johnson et al. and Smith and Brown, leverages machine learning and blockchain for enhanced automation and data integrity. Methods like disk imaging, memory forensics, and network forensics employ advanced tools for efficient analysis. While advantages include efficiency and automation, challenges such as tool dependence and data privacy concerns persist. Solutions involve continuous training, anti-forensic techniques, and the establishment of clear legal frameworks. The evolving digital landscape requires a balanced approach for the sustained effectiveness of digital forensics.