Leveraging AI Models and Cyber Forensics for Solving Land Banking Issues

The notion of land banking refers to the consideration of land as an investment commodity; the base of real estate; an asset for financial deals, businesses, and industrial establishment; and a factor of production. This study avers that by investing in land, one engages in land banking. This phase has become characterized by fraud and serious disputes over ownership. To find lasting solutions, this study proposes significant deployment of cyber forensics. Besides using secondary data from library and internet, telephone interviews and focus group discussions were employed for primary data. Most respondents confirmed that cyber forensics is an AI-driven technique capable of tackling land banking fraud and ownership disputes. Evidence shows that through optimization, prediction, detection, and tracking, cyber forensics can address these challenges. The study concludes that combining cyber forensics with AI makes the industry safe, lucrative, and investment-driven, and heightens real estate prospects. Stakeholders are urged to integrate cyber forensics and AI into land banking.