New PDF release: Advances in Digital Forensics X: 10th IFIP WG 11.9

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 improved the function of electronic forensics past conventional desktop crime investigations. essentially each crime now includes a few point of electronic proof; electronic forensics offers the innovations and instruments to articulate this proof. electronic forensics additionally has myriad intelligence functions. additionally, it has an essential position in info insurance -- investigations of safety breaches yield important info that may be used to layout safer platforms. Advances in electronic Forensics X describes unique learn effects and cutting edge functions within the self-discipline of electronic forensics. moreover, it highlights many of the significant technical and felony matters concerning electronic proof and digital crime investigations. The components of insurance comprise: - net Crime Investigations; - Forensic suggestions; - cellular equipment Forensics; - Forensic instruments and coaching. This booklet is the tenth quantity within the annual sequence produced via the foreign Federation for info Processing (IFIP) operating workforce 11.9 on electronic Forensics, a global neighborhood of scientists, engineers and practitioners devoted to advancing the state-of-the-art of study and perform in electronic forensics. The ebook incorporates a number 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 participants engaged in study and improvement efforts for the legislations enforcement and intelligence communities.

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

Sample text

We summarize the situation if the third stage is reached without establishing the identity of the customer or avoiding liability. The first point is that it is not known if the transaction is legitimate or fraudulent; therefore, it is important not to execute clumsy and ill-directed checks when the vast majority of transactions are legitimate. A reasonable assumption is that the cardholder or someone close to the cardholder executed the transaction if the goods were delivered to the cardholder’s address.

12 ADVANCES IN DIGITAL FORENSICS X Table 4. Costs (×103 ) of methods with different classifiers (Dataset 1). 972 Classifier Table 5. Costs (×103 ) of methods with different classifiers (Dataset 2). 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.

Internet credit card payments have complex security issues because the customer and merchant never meet and they rely on evidence communicated through potentially insecure channels using weak authentication measures that may be exploited by fraudsters. A remote credit card transaction over the Internet (using email or a website), or by phone, fax or regular mail is known as a “card-not-present” (CNP) transaction [14]. The EMV specification [8, 12] formally describes the process. The main parties to a payment card transaction are the merchant, the merchant’s bank, the customer and the card issuer.

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