Publication details
Towards verifiable evidence generation in forensic-ready systems
| Authors | |
|---|---|
| Year of publication | 2020 |
| Type | Article in Proceedings |
| Conference | 2020 IEEE International Conference on Big Data (Big Data) |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1109/BigData50022.2020.9378035 |
| Keywords | Forensic Readiness; Verification; Software Development; Forensic by Design; Digital Evidence |
| Description | With the increasing threat of cybercrime, there is also an increasing need for the forensic investigation of those crimes. However, the topic of systematic preparation on the possible forensic investigation during the software development, called forensic readiness, has only been explored since recently. Thus, there are still many challenges and open issues. One of the obstacles is ensuring the correct implementation. Moreover, the growing volume and variety of digital evidence produced by the systems have to be put into consideration. It is especially important in the critical information infrastructure domain where potential cyberattacks could impact the safety of people. In this paper, we present research towards verification of forensic readiness in software development, with a focus on digital evidence they produce, to assist the advancement of this research domain. Furthermore, we formulate a process that serves a template for designing, developing, and refining a verification method for forensic-ready software systems. |
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