Digital Behavioral Analysis, Computer Crime, and Investigations integrates digital forensic methodology with behavioral profiling, criminological theory, and the legal and ethical frameworks that govern admissibility for instruction and practice in equal measure. Behind every digital crime is a human being, and the technical sophistication of modern computer crime has not eliminated the behavioral evidence that has always grounded criminal investigation-where that evidence lives and how investigators recognize it has simply changed.

From the Silk Road takedown to the Bangladesh Bank heist, from the Stagg investigation to the Hong Kong deepfake fraud, this book works through the cases that define the field and develops the frameworks that practitioners need to navigate the next generation of digital offenses. Each chapter opens with learning objectives and a key terms section that defines technical vocabulary in non-specialist terms, develops its analytic content through case illustrations drawn from documented investigations, and closes with practical takeaways and discussion questions calibrated for both classroom use and field application. C. R. Johnson establishes operational frameworks for evidence triage, hypothesis development, behavioral cluster analysis, case linkage analysis, and capability assessment, and treats each within the constraints of Federal Rule of Evidence 702 and the Daubert standard for expert testimony.

Written for advanced undergraduate and graduate students in criminal justice, criminology, digital forensics, and cybersecurity programs, as well as for practitioners working in digital investigation, behavioral analysis, and the prosecution or defense of computer crime cases, this book is usable as both a course text and an active investigative reference.