The Design and Development of an AI Digital Forensic System

In the evolving field of digital forensics, the increasing sophistication of anti-forensic techniques poses significant challenges to digital forensic investigations, as perpetrators employ methods such as data encryption, steganography, time stomping, and file wiping to conceal or destroy digital evidence. Along with the rise in internet crime, the advances in anti-forensic techniques have added new layers of complexity for digital forensic investigators. Studies show that Zambian private and public sectors have low level compliance and have experienced cyber-attacks which indicated only 10% could recover from the attacks within a day and the rest it will require days, weeks and months to recover. That calls for considered efforts in developing measures for mitigation of these challenges in order to ensure national cyber-attacks preparedness defense strategy (Mwila & Kingstone, 2020). This study aims to analyze and implement countermeasures to anti-forensic techniques used by perpetrators in order to contribute and assure that the advancement of digital forensic techniques used by investigators does not lag behind, in this age of increasing technology sophistication.