A study on the false positive rate of Stegdetect

In this paper we analyse Stegdetect, one of the well-known image steganalysis tools, to study its false positive rate. In doing so, we process more than 40,000 images randomly downloaded from the Internet using Google images, together with 25,000 images from the ASIRRA (Animal Species Image Recognition for Restricting Access) public corpus. The aim of this study is to help digital forensic analysts, aiming to study a large number of image files during an investigation, to better understand the capabilities and the limitations of steganalysis tools like Stegdetect. The results obtained show that the rate of false positives generated by Stegdetect depends highly on the chosen sensitivity value, and it is generally quite high. This should support the forensic expert to have better interpretation in their results, and taking the false positive rates into consideration. Additionally, we have provided a detailed statistical analysis for the obtained results to study the difference in detection between selected groups, close groups and different groups of images. This method can be applied to any steganalysis tool, which gives the analyst a better understanding of the detection results, especially when he has no prior information about the false positive rate of the tool

Cyber Supply Chain Risk Management: Implications for the SOF Future Operating Environment

The emerging Cyber Supply Chain Risk Management (C-SCRM) concept assists at all levels of the supply chain in managing and mitigating risks, and the authors define C-SCRM as the process of identifying, assessing, and mitigating the risks associated with the distributed and interconnected nature of information and operational technology products and service supply chains. As Special Operations Forces increasingly rely on sophisticated hardware and software products, this quick, well-researched monograph provides a detailed accounting of C-SCRM associated laws, regulations, instructions, tools, and strategies meant to mitigate vulnerabilities and risks—and how we might best manage the evolving and ever-changing array of those vulnerabilities and risks

Recovering Digital Evidence From Linux Systems

As Linux-kernel-based operating systems proliferate there will be an inevitable increase in Linux systems that law enforcement agents must process in criminal investigations. The skills and expertise required to recover evidence from Microsoft-Windows-based systems do not necessarily translate to Linux systems. This paper discusses digital forensic procedures for recovering evidence from Linux systems. In particular, it presents methods for identifying and recovering deleted files from disk and volatile memory, identifying notable and Trojan files, finding hidden files, and finding files with renamed extensions. All the procedures are accomplished using Linux command line utilities and require no special or commercial tools

Mac OS X Forensics

This paper describes procedures for conducting forensic examinations of Apple Macs running Mac OS X. The target disk mode is used to create a forensic duplicate of a Mac hard drive and preview it. Procedures are discussed for recovering evidence from allocated space, unallocated space, slack space and virtual memory. Furthermore, procedures are described for recovering trace evidence from Mac OS X default email, web browser and instant messaging applications, as well as evidence pertaining to commands executed from a terminal

Assessing Trace Evidence Left By Secure Deletion Programs

Secure deletion programs purport to permanently erase files from digital media. These programs are used by businesses and individuals to remove sensitive information from media, and by criminals to remove evidence of the tools or fruits of illegal activities. This paper focuses on the trace evidence left by secure deletion programs. In particular, five Windows-based secure deletion programs are tested to determine if they leave identifiable signatures after deleting a file. The results show that the majority of the programs leave identifiable signatures. Moreover, some of the programs do not completely erase file metadata, which enables forensic investigators to extract the name, size, creation date and deletion date of the “deleted” files

Forensic Analysis of Xbox Consoles

Microsoft’s Xbox game console can be modified to run additional operating systems, enabling it to store gigabytes of non-game related files and run various computer services. Little has been published, however, on procedures for determining whether or not an Xbox console has been modified, for creating a forensic duplicate, and for conducting a forensic investigation. Given the growing popularity of Xbox systems, it is important to understand how to identify, image and examine these devices while reducing the potential of corrupting the media. This paper discusses Xbox forensics and provides a set of forensically-sound procedures for analyzing Xbox consoles

Planning for Secret Disclosure : Applying Berger\u27s Planning Theory to the Disclosure of Secrets

This research examined the strategies used for secret disclosure with Berger’s Planning Theory’s (1997) hierarchy principle, which orders plans according to complexity. Afifi and Steuber’s (2009) Strategies for Sharing Secrets Scale categorizes secret disclosure strategies that vary in complexity. Based on Planning Theory’s hierarchy principle, it was hypothesized that when a plan to disclose a secret is thwarted, individuals will move from a less complex disclosure strategy to a more complex disclosure strategy. Findings revealed correlations between strategy complexity and order of strategy choice were low; the null hypothesis was accepted