Cybercrime Investigation and Fraud Detection With AI
Yara Shamoo · Advances in digital crime, forensics, and cyber terrorism book series · 2024
The rapid evolution of artificial intelligence (AI) has introduced transformative possibilities for cybercrime investigation and fraud detection, enabling enhanced accuracy, efficiency, and adaptability. AI-powered tools such as machine learning algorithms, natural language processing, and computer vision offer robust solutions for detecting fraudulent activities, tracing digital evidence, and identifying anomalous behaviors across diverse platforms. This chapter explores the fundamental technologies that underlie AI applications in digital forensics, discussing key methodologies, challenges, and case studies that illustrate AI's role in combating cybercrime. Emphasis is placed on how AI techniques support law enforcement in recognizing sophisticated fraud schemes, performing predictive analysis, and adapting to ever-changing cyber threats. Additionally, we address ethical and privacy concerns related to AI-driven surveillance and investigation processes, underscoring the need for a balanced approach in leveraging AI for crime prevention. This chapter provides valuable insights for cybersecurity professionals, digital forensics experts, and law enforcement agencies on the effective deployment of AI to counteract fraud and secure digital ecosystems.