Computer Online Forensic Evidence Extractor (COFEE) is a software program developed by Microsoft for use by law enforcement. It was held closely by law enforcement for a period of time until it was revealed in the last year, and subsequently, several individuals released software intended to defeat the utility of COFEE.
Like other latent evidence that cannot be directly perceived by people, bit sequences have to be presented through tools. Presentations of digital forensic evidence often involve the presentation of text versions of bit sequences representing traces of events that took place within digital systems.
Like almost every scientific endeavor, the examination of digital forensic evidence (DFE) started out somewhere between an art and a craft. People with special skills and knowledge leverage that skill set and knowledge base to put forth notions about the meaning of DFE in the context of legal matters. While the court system greatly appreciates science and its role through expert testimony in providing probative information, that appreciation is substantially challenged by the lack of a scientific base, in the form of adequate peer reviewed publications associated with professional societies,
Software implementation contracts are frequently terminated with the software rejected amidst allegations from both supplier and customer, e.g. software/database errors/deficiencies, faulty design, shifting user/business requirements. An important technical issue on which the IT Expert appointed in such disputes is asked to give an expert opinion is: what was the quality of the delivered software and was it fit for purpose?
The objective of this article is to report on the integration of improved video and related computer technology into existing, long-accepted visibility study preparation and presentation methodologies. The result has been an incremental extension of the types of visual environments which can be reproduced with substantial similarity for admission as visibility evidentiary exhibits in court
Many scientists would like to be able to view and analyze quick look astronomical data on hand held devices linked by wireless network to the Internet. Scientific data is often characterized by high dynamic range together with abrupt, localized or extended changes of spatial and temporal statistical properties. I compare the effectiveness of algorithms for the efficient approximation of scientific data that support low bit-rate, near real-time and low-delay communication of heterogeneous multidimensional scientific data over existing or planned wireless network