Enhancements in technologies and shifting trends in customer behaviour have resulted in an increase in the variety, volume, veracity and velocity of available data for conducting digital forensic analysis. In order to conduct intelligent forensic investigation, open source information and entity identification must be collected. Challenge of organised crimes are now involved in drug trafficking, murder, fraud, human trafficking, and high-tech crimes. Criminal Intelligence using Open Source Intelligence Forensic (OSINT) is established to perform data mining and link analysis to trace terrorist activities in critical. In this paper, we will investigate the activities done by a suspect employee. Data mining is to be performed and link analysis as well to confirm all participating parties and contacted persons used in the communications. The proposed solution was to identify the scope of the investigation to limit the results, ensure that expertise and correct tools are ready to be implemented for identifying and collecting potential evidences. This enhanced information and knowledge achieved are of advantage in research. This form of intelligence building can significantly support real world investigations with efficient tools. The major advantage of analysing data links in digital forensics is that there may be case-related information included within unrelated databases.
Digital forensic investigators are faced with multimedia retrieval and discovery challenges that require innovation and application of evolving methodologies. This work is made more difficult in critical infra-structure environments where the acquired evidence is in many formats, types and presentations. Penetration testing is one of the techniques used to focus an investigation and to target the potential case information from the vulnerability identification phase, through to the media identification phase. In this chapter a review of these processes is made and a framework example developed to show how the investigator discovers relevant evidence. The problem for the digital investigator is the vast array of media in which evidence is stored or transmitted. Some work is from live retrieval and others static. A framework of methods that is flexible and adaptable to the context of investigation is proposed and the discovery methods for multimedia environments elaborated.
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