By Gilbert Peterson, Sujeet Shenoi
Digital forensics bargains with the purchase, upkeep, exam, research and presentation of digital facts. Networked computing, instant communications and conveyable digital units have multiplied the function of electronic forensics past conventional machine crime investigations. essentially each crime now contains a few point of electronic facts; electronic forensics offers the strategies and instruments to articulate this facts. electronic forensics additionally has myriad intelligence functions. moreover, it has an essential function in details insurance -- investigations of defense breaches yield useful details that may be used to layout safer structures. Advances in electronic Forensics X describes unique examine effects and cutting edge functions within the self-discipline of electronic forensics. moreover, it highlights a few of the significant technical and felony concerns relating to electronic facts and digital crime investigations. The parts of insurance contain: - web Crime Investigations; - Forensic concepts; - cellular machine Forensics; - Forensic instruments and coaching. This e-book is the tenth quantity within the annual sequence produced through the foreign Federation for info Processing (IFIP) operating workforce 11.9 on electronic Forensics, a world neighborhood of scientists, engineers and practitioners devoted to advancing the cutting-edge of analysis and perform in electronic forensics. The ebook encompasses 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 wintry weather of 2014. Advances in electronic Forensics X is a vital source for researchers, college participants and graduate scholars, in addition to for practitioners and contributors engaged in learn 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
8] S. Viaene, R. Derrig and G. Dedene, A case study of applying boosting naive Bayes to claim fraud diagnosis, IEEE Transactions on Knowledge and Data Engineering, vol. 16(5), pp. 612–620, 2004.  C. Whitrow, D. Hand, P. Juszczak, D. Weston and N. Adams, Transaction aggregation as a strategy for credit card fraud detection, Data Mining and Knowledge Discovery, vol. 18(1), pp. 30–55, 2009.  W. Yu and N. Wang, Research on credit card fraud detection model based on distance sum, Proceedings of the International Joint Conference on Artiﬁcial Intelligence, pp.
Transfer Funds Merchant Bank Card Issuer 6. Request Money 3. Authentication Response 2. Authentication Request 4. Confirm Order Merchant 1. Purchase goods Customer 5. Goods Delivery 8. Goods Confirmation Figure 1. Card-not-present transaction. the customer may receive a chargeback, which leads to the reversal of the payment. , provision of the card details alone), especially if the merchant cannot prove who initiated the transaction. 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.
Figure 2 presents an overview of the classiﬁcation process. The initial stage involved the preprocessing of text as in the training phase. Following this, the data was transformed to a vector space model. Finally, the corresponding features were weighted according to the feature space 37 Hudic, et al. Figure 2. Classiﬁcation process. 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.
Advances in Digital Forensics X: 10th IFIP WG 11.9 International Conference, Vienna, Austria, January 8-10, 2014, Revised Selected Papers by Gilbert Peterson, Sujeet Shenoi