Call For Projects: Digital Forensics

Amsterdam University of Applied Sciences is currently looking for projects to run as part of the Digital Forensics minor.

Projects run for about five months, roughly early February to the end of June. Students spend about 2.5 days per week working on the project in a team. Teams consist of 4-5 students, and students can come from various disciplines (Business IT, Software Engineering, System & Network Engineering, and others). The teams should be largely self-sufficient, but an ’employer’ and a day-to-day guide/team-leader from the organization/company is required.All products, documentation, code, etc. needs to be available to the HvA at the end of the project, because the University is legally required to have proof for grades. The University can sign an NDA if this is a requirement. Grading of the ‘products’ is done by the employer(s) with verification by the University, and students also need to hand in an accompanying detailed reflection/process report and hour log for grading at the University.

If you are interested in submitting a project idea, please contact Arnim Eijkhoudt on a.eijkhoudt @ hva.nl

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Learn more: https://dfrws.org/presentation/a-systematic-approach-to-understanding-macb-timestamps-on-unixlike-systems/

File timestamps are used by forensics practitioners as a fundamental artifact. For example, the creation of user files can show traces of user activity, while system files, like configuration and log files, typically reveal when a program was run.

Despite timestamps being ubiquitous, the understanding of their exact meaning is mostly overlooked in favor of fully-automated, correlation-based approaches. Existing work for practitioners aims at understanding Windows and is not directly applicable to Unix-like systems.

In this paper, we review how each layer of the software stack (kernel, file system, libraries, application) influences MACB timestamps on Unix systems such as Linux, OpenBSD, FreeBSD and macOS.

We examine how POSIX specifies the timestamp behavior and propose a framework for automatically profiling OS kernels, user mode libraries and applications, including compliance checks against POSIX.

Our implementation covers four different operating systems, the GIO and Qt library, as well as several user mode applications and is released as open-source.

Based on 187 compliance tests and automated profiling covering common file operations, we found multiple unexpected and non-compliant behaviors, both on common operations and in edge cases.

Furthermore, we provide tables summarizing timestamp behavior aimed to be used by practitioners as a quick-reference.

Learn more: https://dfrws.org/presentation/a-systematic-approach-to-understanding-macb-timestamps-on-unixlike-systems/

YouTube Video UCQajlJPesqmyWJDN52AZI4Q_i0zd7HtluzY

A Systematic Approach to Understanding MACB Timestamps on Unixlike Systems

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