CRIROct 26, 2020

5W1H-based Expression for the Effective Sharing of Information in Digital Forensic Investigations

arXiv:2010.15711v16 citations
Originality Synthesis-oriented
AI Analysis

This addresses a domain-specific problem for digital forensic investigators by providing an incremental method to improve data standardization and compatibility with security frameworks like STIX.

The paper tackles the lack of standardized output formats in digital forensic investigations, which hinders information sharing and integration, by proposing a 5W1H-based expression to convert diverse digital information into a uniform format, showing enhanced clarity and correctness in case studies.

Digital forensic investigation is used in various areas related to digital devices including the cyber crime. This is an investigative process using many techniques, which have implemented as tools. The types of files covered by the digital forensic investigation are wide and varied, however, there is no way to express the results into a standardized format. The standardization are different by types of device, file system, or application. Different outputs make it time-consuming and difficult to share information and to implement integration. In addition, it could weaken cyber security. Thus, it is important to define normalization and to present data in the same format. In this paper, a 5W1H-based expression for information sharing for effective digital forensic investigation is proposed to analyze digital forensic information using six questions--what, who, where, when, why and how. Based on the 5W1H-based expression, digital information from different types of files is converted and represented in the same format of outputs. As the 5W1H is the basic writing principle, application of the 5W1H-based expression on the case studies shows that this expression enhances clarity and correctness for information sharing. Furthermore, in the case of security incidents, this expression has an advantage in being compatible with STIX.

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