Therefore in this chapter, we firstly review the private mode of popular Internet browsers. However, there are very few research studies on forensic acquisition and analysis of privacy preserving Internet browsers. This evidence may be required in a court of law, where analysts are often challenged both on their findings and on the tools and approaches used to recover evidence. This often requires the use of multiple tools, as well as different forensic approaches to uncover incriminating evidence. Private browsing features and browsers often require a more in-depth, post-mortem analysis. Although private browsing features are not designed specifically for criminal activity, they have become a valuable tool for criminals looking to conceal their online activity. The use of private browsing is a common challenge faced in, for example, child exploitation investigations, which usually originate on the Internet.
In order to conceal illegal online activity, criminals often use private browsing features or browsers designed to provide complete private browsing. With the advance of technology, Criminal Justice agencies are being confronted with an increased need to investigate cybercrimes perpetrated partially or entirely over the Internet. We also test our approach with popular image viewers in different storage structures and locations to show its robustness. Therefore, in this paper we propose a new approach of automating extraction of thumbnails produced by image viewers.
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However, investigating these databases so far is still manual or semi-automatic task that leads to the huge amount of forensic time. Eventually, thumbnail databases from image viewers are significant forensic artefacts for investigators as these programs deal with large amounts of images. There is a little research working on the thumbnails created by the image reviewers as these thumbnails are application-driven in terms of pre-defined sizes, adjustments and storage location. In literature, most research and practical focus on the extraction of thumbnails from databases created by the operating system. These thumbnails can often be found within databases created by either operating systems or image viewers. One of the solutions is to look at thumbnails of images that are no longer available. Data carving can be used in this case to retrieve deleted images but the carving time is normally significant and these images can be moreover overwritten by other data. However, not all images may still be available within a forensic digital investigation as they were all deleted for example. Today, in digital forensics, images normally provide important information within an investigation. Next, we describe the forensic acquisition and analysis of Browzar, a privacy preserving internet browser and compare it with other popular internet browsers Therefore in this chapter, we firstly review the private mode of popular internet browsers. However, there are very few research on evaluating of private browsing in terms of privacy preserving as well as forensic acquisition and analysis of privacy preserving internet browsers. Private browsing features and browsers often require a more in-depth, post mortem analysis. As such, Technological Crime units often focus their forensic analysis on thoroughly examining the web history on a computer. The use of private browsing is a common challenge faced in for example child exploitation investigations, which usually originate on the Internet. In order to conceal illegal online activity, criminals often use private browsing features or browsers designed to provide total browsing privacy. These types of crime are known as cybercrimes. With the advance of technology, Criminal Justice agencies are being confronted with an increased need to investigate crimes perpetuated partially or entirely over the Internet.