Kirjahaku

Digital Investigations: The Forensic Process and Examination of Digital Evidence focuses on the examination phase of a digital investigation. It reviews the technical skills of digital forensics and how to locate and acquire forensic artifacts on Windows systems, emails and file systems. The book also covers critical skills lacking in other works, including how to handle a digital crime scene and the forensic process for computer systems. In addition, it answers what to do and how to handle gathered evidence during investigations. The text includes labs to teach technical skills, such as data recovery, evidence identification, forensic timelines, etc. Digital forensics is a crucial science. We are currently at the point where we use technology to support our lifestyle. Soon we will enter an age where technology supplements it. An age where our car will send us an email to remind us it has checked our calendar and booked an oil change at a shop a mile from our house. Where we can view a webcam on our phones to see that grandma is ringing the doorbell.

The Investigative Process and Behavioral Profiling of Computer Crimes: Persona ex-Machina takes readers through a digital investigation. It answers the following questions: What is digital evidence? What are the applicable laws that apply to computer systems and the Internet? How do we identify subjects? What criminological theories apply? How do we apply behavioral profiles? Since the author also teaches these courses, the text includes labs to teach technical skills, such as data recovery, evidence identification, forensic timelines, etc. This book is ideal for readers with little exposure to the world of digital forensics and the investigative process, as well as criminal behavior. Just as forensic science logically led to the science of offender behavioral profiling, the burgeoning field of digital profiling serves to prove that the principle can be applied to activities on computer systems and the Internet. In short, human technology interaction leaves a trace, and that trace can be examined to infer behavior. Existing research supports this in many different areas – For example, stylometry, where phraseology, frequency distribution, flight time, and other aspects have been shown to be up to 95% effective at identifying a subject following the disambiguation of copious data.