Shelby Hall Graduate Research Forum Posters

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Description

As technology becomes increasingly integrated into daily life, the way in which society interacts with digital content continues to rapidly change. Though there is growth in advancements that help the average user, there is a similar upward trend in crimes committed involving a computer. Figure 1 illustrates the growth in research across many disciplines of digital forensics reflecting the demand for tools which can combat a wide variety of cyber crimes.In the past two decades, with a massive spike since 2017, there has been much literature produced in response to this demand. It can be inferred from the Federal Bureau of Investigation (FBI) data that there will be approximately $80 billion in losses due to cybercrime in 2026. Figure 2 shows the growth in reported crimes and losses, which the FBI estimates is only 20% of actual crimes. This rapid growth demands digital forensic analysis tools to be developed that are effective in analyzing forensic evidence to bring bad actors to justice. This research, contributing to a Master’s level thesis, set out to develop a segment-based analysis that can detect LUKS2-encrypted containers on a forensic image of a storage device without relying on entropy calculations.

Publication Date

3-2026

Department

Computer Science

Disciplines

Computer Sciences

Algorithm For Detecting LUKS2-Encrypted Containers In Forensic Images

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