Advances in Digital Forensics XII: 12th IFIP WG 11.9 by Gilbert Peterson, Sujeet Shenoi

By Gilbert Peterson, Sujeet Shenoi

Digital forensics bargains with the purchase, protection, exam, research and presentation of digital facts. Networked computing, instant communications and conveyable digital units have multiplied the position of electronic forensics past conventional desktop crime investigations. virtually each crime now contains a few point of electronic facts; electronic forensics offers the thoughts and instruments to articulate this facts. electronic forensics additionally has myriad intelligence functions. in addition, it has an important position in details insurance -- investigations of protection breaches yield important details that may be used to layout safer systems.

Advances in electronic Forensics XII describes unique study effects and leading edge purposes within the self-discipline of electronic forensics. furthermore, it highlights many of the significant technical and criminal matters with regards to electronic facts and digital crime investigations. The parts of insurance contain: issues and concerns, cellular gadget Forensics, community Forensics, Cloud Forensics, Social Media Forensics, snapshot Forensics, Forensic thoughts, and Forensic Tools.

This publication is the 12th quantity within the annual sequence produced through the foreign Federation for info Processing (IFIP) operating workforce 11.9 on electronic Forensics, a global group of scientists, engineers and practitioners devoted to advancing the state-of-the-art of analysis and perform in electronic forensics. The ebook features a choice of twenty edited papers from the 12th Annual IFIP WG 11.9 overseas convention on electronic Forensics, held in New Delhi, India within the wintry weather of 2016.

Advances in electronic Forensics XII is a crucial source for researchers, school individuals and graduate scholars, in addition to for practitioners and members engaged in learn and improvement efforts for the legislation enforcement and intelligence communities.

Gilbert Peterson, Chair, IFIP WG 11.9 on electronic Forensics, is a Professor of desktop Engineering on the Air strength Institute of know-how, Wright-Patterson Air strength Base, Ohio, USA.

Sujeet Shenoi is the F.P. Walter Professor of laptop technological know-how and a Professor of Chemical Engineering on the collage of Tulsa, Tulsa, Oklahoma, USA.

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Additional resources for Advances in Digital Forensics XII: 12th IFIP WG 11.9 International Conference, New Delhi, January 4-6, 2016, Revised Selected Papers

Example text

If the science underlying such profiling is sound, it will, indeed, expedite most investigations because it will more Olivier 19 often than not point the investigator in the right direction. However, such profiling does not constitute evidence. When investigating a case based on a profile, an investigator may uncover facts that do constitute evidence. For example, the investigator may prioritize obtaining a DNA sample from a suspect who matches the predicted profile. If the sample from the suspect matches the DNA found at a crime scene, a fact has been established that not only guides the subsequent actions of the investigator, but that may also have probative value in a legal context.

In a telling example, Carrier illustrates his use of hypotheses where contraband in the form of pictures is suspected. His initial hypothesis is that the contraband is in the form of JPG images – an act of prioritization based on prevalence; in other words, a form of profiling that in most cases increases the likelihood of successfully locating evidence early in the investigation. However, when this hypothesis has to be rejected if no incriminating JPG files are found, then the outcome of the investigation is not affected.

The remaining two respondents observed 30 to 49 and 50 or more such cases. The second question asked about instances of investigated entities complaining about data privacy breaches under Section 72A of the (Indian) Information Technology Act of 2000. This section provides protection against the access and disclosure of private information belonging to an investigated entity that is irrelevant to the case at hand. An example is the access and/or disclosure of personal or family photographs and videos, when the owner of the material is being investigated for financial fraud.

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