Hook, line, and sinker: the mechanics of fraud

M. Houck, Max (2023) — Handbook on Crime and Technology

Synopsis (AI-Generated)

This handbook examines the mechanics of fraud within contemporary crime and technology environments. It presents a conceptual account of how fraudulent schemes operate, how actors identify opportunities, and how deception is orchestrated across digital and physical channels. The analysis spans motivations, methods, and the sequence of actions from initial exposure to execution and concealment, with attention to the roles of information, trust, and systemic weaknesses. The tone is descriptive and neutral, aiming to map common patterns without endorsing or detailing illicit procedures. Coverage includes typologies of fraud across financial, commercial, and public contexts, and the ways in which social engineering, data manipulation, and automated processes interact with human behavior and organizational controls. The volume considers platforms, networks, and data infrastructures that enable fraud, along with indicators, auditing approaches, and investigative frameworks. It also addresses governance, risk management, regulatory considerations, and the ethical, legal, and social implications of fraud prevention and detection within technology-driven settings. It is directed at researchers, practitioners, educators, and policymakers seeking a foundational reference for analyzing fraud in a technology-enabled world. The work aims to provide a clear, non-operational overview that informs prevention, detection, and response strategies, as well as policy development and curricular design. By presenting a consistent vocabulary and conceptual framework, the handbook supports critical analysis of vulnerabilities and resilience in organizations and in digital ecosystems.

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The synopsis and research notes on this page were generated with AI from available publication information and, when available, the uploaded paper text. They may contain errors, omissions, or interpretation issues. Readers should follow the DOI or source link, review the original publication, and make their own judgment about the content.



        
      

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