Digital forensic intelligence: Data subsets and Open Source Intelligence (DFINT plus OSINT): A timely and cohesive mix

作者：Quick Darren; Choo Kim Kwang Raymond^*

来源：Future Generation Computer Systems-The International Journal of eScience, 2018, 78: 558-567.

DOI：10.1016/j.future.2016.12.032

• Big data forensics
• Forensic data reduction
• Intelligence analysis
• Open Source Intelligence
• Criminal intelligence
• Digital forensic intelligence

Advances in technologies and changing trends in consumer behaviour have led to an increase in the volume, variety, velocity, and veracity of data available for digital forensic analysis. A benefit of analysis of big digital forensic data is that there may be case-related information contained within disparate data sources. This paper presents a framework for entity identification and open source information cohesion to add value to data holdings from digital forensic data subsets. Application of the framework to test data resulted in locating additional information relating to the entities contained within the digital forensic data subsets, which led to adding intelligence value relating to the entities. Analysis of real-world data confirmed the potential to add value to big digital forensic data to uncover disparate information and open source information. The results demonstrate the benefits of applying the process to achieve greater understanding of digital forensic data in a timely manner.

• 出版日期2018-1