"Types of hardware, peripherals, and electronic evidence" -- "Evidence integrity" -- "Summary" -- "13 ACQUISITION AND EXAMINATION OF FORENSIC EVIDENCE" -- "Introduction" -- "Data preservation" -- "Digital forensic imaging tools" -- "Uncovering digital evidence" -- "Data analysis" -- "Data reduction and filtering" -- "Reporting of findings" -- "Summary" -- "14 LEGAL CHALLENGES IN DIGITAL FORENSIC INVESTIGATIONS" -- "Introduction" -- "Constitutional issues in digital investigations" -- "Federal Rules of Evidence 702" -- "Summary" -- "15 THE FUTURE OF CYBERCRIME, TERROR, AND POLICY" -- "Introduction" -- "Considering the future of cybercrime" -- "How technicways will shift with new technologies" -- "Social movements,...

Digital Forensic science, commonly referred to as digital or computer forensics, is the branch of forensic science that deals with the collection, analysis, and preservation of digital data — evidence of something that has occurred. It involves the investigative use of specialized tools and techniques to defensibly extract and analyze data from a ubiquitous and continually growing array of computers, tablets, servers, smartphones, smartwatches, network devices, Internet of Things (IOT), etc. If it powers on and stores data, it can be analyzed. In the context of cybersecurity, Digital Forensics is often used to investigate incidents such as ransomware events, network...

Master the art of digital forensics and analysis with PythonAbout This Book- Learn to perform forensic analysis and investigations with the help of Python, and gain an advanced understanding of the various Python libraries and frameworks- Analyze Python scripts to extract metadata and investigate forensic artifacts- The writers, Dr. Michael Spreitzenbarth and Dr. Johann Uhrmann, have used their experience to craft this hands-on guide to using Python for forensic analysis and investigationsWho This Book Is ForIf you are a network security professional or forensics analyst who wants to gain a deeper understanding of performing forensic analysis with Python, then this...