Definition: The use of scientifically driven methods to preserve, collect, validate, identify, analyze, interpret, document, and present digital evidence effectively.
This process helps facilitate the reconstruction of events related to criminal activities or anticipate disruptive actions, crucial for both law enforcement and corporate investigations.
Aims to determine:
Whether a crime occurred, establishing a timeline of events.
Identification of remote access or control of devices, analyzing unauthorized interactions.
Determining the timing of actions, e.g., the exact moment a picture was captured or a file was modified.
Assessing intrusions on systems and the implications of such breaches on data integrity.
Applications:
Extensive use in law enforcement for criminal investigations, including cybercrimes.
Corporately, it aids in security breaches, intellectual property theft, and compliance audits to safeguard against data loss.
NIST Definition (National Institute of Standards and Technology): Involves the retrieval, storage, and analysis of electronic data that is pertinent to criminal investigations across various devices (computers, mobile devices, etc.).
Challenges Faced:
Effective data extraction techniques from damaged devices, which require specialized knowledge and tools.
Locating pertinent evidence amidst vast amounts of data, necessitating advanced search methodologies.
Ensuring data integrity during the collection process to avoid contamination or loss of information.
Steps:
Inputs: Methodically identify the target person or device, outlining the purpose of the examination.
Processes: Systematically collect data following well-defined examination questions and methodologies.
Outputs: Analyze results with careful attention to detail and prepare comprehensive reports for legal or corporate use.
Examination contexts vary significantly:
Criminal investigations: Targeting a person suspected of committing a crime, often involving coordination with law enforcement.
Corporate investigations: Targeting devices suspected of policy violations or data breaches, often involving compliance and risk management frameworks.
Stored data, internet histories, authorship of documents, and geographical metadata embedded in files.
Digital forensics can reveal a "digital trail" left by all actions on devices, providing crucial evidence for investigations.
Forensic examinations often involve significant privacy breaches, necessitating reflection on the implications for all individuals involved.
It is essential to maintain integrity and adhere to ethical guidelines, which include:
Adhering to local regulations and being thorough and honest in all processes.
Treating all data as confidential, protecting the rights of individuals implicated.
Avoiding conflicts of interest and never withholding evidence or causing harm to individuals.
Cybercrime Misunderstanding: There is a prevalent belief that forensic experts only deal with cybercrimes; however, their expertise extends to all crime types involving digital evidence, making their role pivotal in modern investigations.
Cybercrime: Crimes that directly attack computers and networks, such as intrusions, denial of service attacks, and malware distribution.
Cyber-Aided Crime: Traditional crimes enhanced by digital means, such as fraud, theft, and identity crimes using technology.
Digital Evidence: Present in a diverse array of criminological contexts, demonstrating the far-reaching influence of digital forensics across various investigative scenarios.