Author Description

The rise of digital fraud and identity theft poses serious risks to individuals, businesses, and governments, making advanced cybersecutiy solutions an urgent priority. Artificial intelligence (AI) offers powerful tools for real-time detection, prevention, and response to cyber threats, enhancing the accuracy and efficiency of digital security systems. Integrating AI into decision support systems (DSS) enables more informed, data-driven responses to complex security challenges while strengthening legal enforcement mechanisms. As technology evolves, addressing the ethical and regulatory dimensions of AI in cybersecurity becomes essential to ensuring privacy, accountability, and public trust in digital systems. Combatting Digital Arrest Fraud and Identity Theft With AI and Decision Support Systems provides an in-depth exploration of how DSS powered by AI can be used to address the increasing challenges of digital arrest fraud and identity theft in the context of cybersecurity. It examines the integration of AI techniques into DSS frameworks to develop solutions for real-time threat detection, fraud prevention, and legal enforcement in the digital age. Covering topics such as anti-money laundering, fraud response, and policy implications, this book is an excellent resource for cybersecurity professionals, AI researchers, DSS experts, law enforcement, legal professionals, academicians, policymakers, and more.