Advances in Digital Forensics X: 10th 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 transportable digital units have multiplied the function of electronic forensics past conventional desktop crime investigations. virtually each crime now comprises a few point of electronic proof; electronic forensics presents the suggestions and instruments to articulate this facts. electronic forensics additionally has myriad intelligence functions. additionally, it has an important function in info coverage -- investigations of safety breaches yield worthwhile info that may be used to layout safer structures. Advances in electronic Forensics X describes unique study effects and leading edge purposes within the self-discipline of electronic forensics. additionally, it highlights a few of the significant technical and felony matters on the topic of electronic facts and digital crime investigations. The components of insurance contain: - web Crime Investigations; - Forensic recommendations; - cellular equipment Forensics; - Forensic instruments and coaching. This ebook is the tenth quantity within the annual sequence produced by way of the overseas Federation for info Processing (IFIP) operating crew 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 publication features a choice of twenty-two edited papers from the tenth Annual IFIP WG 11.9 overseas convention on electronic Forensics, held in Vienna, Austria within the iciness of 2014. Advances in electronic Forensics X is a crucial source for researchers, school individuals and graduate scholars, in addition to for practitioners and members engaged in examine and improvement efforts for the legislation enforcement and intelligence communities.

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Extra resources for Advances in Digital Forensics X: 10th IFIP WG 11.9 International Conference, Vienna, Austria, January 8-10, 2014, Revised Selected Papers

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Model and classified using the classifier constructed during the training phase. 5. 3 million IRC messages transmitted over 2,693 channels on 246 networks. The web forum data corpus was collected by crawling through more than 203,000 threads in ten forums. This section evaluates the performance of the classification system and the effectiveness of various vector space models and document selection methods. 1 IRC Channels To evaluate the performance of the classification system on IRC channels, we manually labeled all 2,693 IRC channels based on their relationship to the underground economy and performed k-fold cross-validation.

The model progressively decomposes the fraudster’s goals into actionable steps as in the case of an attack tree. However, a fraud tree also contains defensive goals in the form of obstacles that can potentially defeat the adversarial goals. Because the defensive obstacles possibly offer imperfect and incomplete remedies, the process iterates through the fraudster’s additional counter-goals and defensive obstacles for the counter-goals. In requirements engineering, system threats are typically analyzed from all the stakeholders’ points of view in order to formulate a collective system goal model.

379 Classifier Table 6. Costs (×103 ) of methods with different classifiers (Dataset 3). 617 Classifier ten times to obtain the average performance for each classification technique. Tables 4, 5 and 6 show the performance of different methods and classification techniques for Datasets 1, 2 and 3, respectively. The cost function defined by Equation (6) is used as the performance measure. For purposes of clarity, the actual costs are multiplied by a factor of 103 to produce the table values. Note that the costs for the datasets can be very different due to the different transaction amounts in each dataset.

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