Advances in Digital Forensics IX: 9th IFIP WG 11.9 by Mark Pollitt (auth.), Gilbert Peterson, Sujeet Shenoi (eds.)

By Mark Pollitt (auth.), Gilbert Peterson, Sujeet Shenoi (eds.)

Digital forensics bargains with the purchase, protection, exam, research and presentation of digital proof. Networked computing, instant communications and conveyable digital units have improved the function of electronic forensics past conventional laptop crime investigations. essentially each crime now consists of a few point of electronic facts; electronic forensics offers the strategies and instruments to articulate this proof. electronic forensics additionally has myriad intelligence purposes. in addition, it has an important position in info insurance - investigations of safeguard breaches yield precious info that may be used to layout safer platforms. Advances in electronic Forensics IX describe unique examine effects and leading edge purposes within the self-discipline of electronic forensics. moreover, it highlights a number of the significant technical and felony concerns concerning electronic proof and digital crime investigations. The components of assurance comprise: topics and concerns, Forensic versions, Forensic ideas, dossier method Forensics, community Forensics, Cloud Forensics, Forensic instruments, and complex Forensic options. This booklet is the 9th quantity within the annual sequence produced by way of the foreign Federation for info Processing (IFIP) operating workforce 11.9 on electronic Forensics, a world group of scientists, engineers and practitioners devoted to advancing the cutting-edge of analysis and perform in electronic forensics. The e-book encompasses a collection of twenty-five edited papers from the 9th Annual IFIP WG 11.9 overseas convention on electronic Forensics, held in Orlando, Florida, united states within the iciness of 2013. Advances in electronic Forensics IX is a vital source for researchers, college contributors and graduate scholars, in addition to for practitioners and contributors engaged in study and improvement efforts for the legislation enforcement and intelligence groups. Gilbert Peterson is an affiliate Professor of desktop Engineering on the Air strength Institute of know-how, Wright-Patterson Air strength Base, Ohio, united states. Sujeet Shenoi is the F.P. Walter Professor of machine technological know-how and a Professor of Chemical Engineering on the collage of Tulsa, Tulsa, Oklahoma, USA.

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Additional info for Advances in Digital Forensics IX: 9th IFIP WG 11.9 International Conference on Digital Forensics, Orlando, FL, USA, January 28-30, 2013, Revised Selected Papers

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The number of entries in the rank table can vary; however, according to Cavnar and Trenkle [4], domain-specific terminol- 26 ADVANCES IN DIGITAL FORENSICS IX ogy only begins to appear around rank 300. The n-gram technique is fast and provides a usable profile for text. After a profile is generated, it can be compared with another profile using a distance measure between the two profiles (or texts). Texts that are similar have a smaller distance measure than texts that are dissimilar. The next section describes how the distance is calculated.

The ownership difference O(i, j) relies on a maximum value to create additional distance between the suspect and other users: O(j, k) = 0 if jo = ko τ if jo = ko (3) where τ is a maximum value assigned to O(i, j). After an investigator issues a query, the profiles of the documents are constructed (or retrieved). The distances between all the documents are then calculated. This information is used in the diversity calculation, which is discussed in the next section. 3 Diversity Classification After a query is executed, the documents in the search results are clustered to determine the diversity of results using a hierarchical clustering scheme.

Research product (approaches and methods). Result validation technique. Tables 1, 2 and 3 show the ascending maturity values in each of these three dimensions of assessments (including some interpretative modification and adaptation). Table entries where the classification criteria differ from Shaw [45] use Bunge’s terminology [3, 4]. The concept of tabulating levels of quality is also related to maturity assessment schemas in other domains, such as CMMI for general organizational capabilities and TMMI for maturity assessment in the domain of systematic software testing.

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