By Rainer Böhme, Tatsuaki Okamoto

This publication constitutes the completely refereed post-conference lawsuits of the nineteenth foreign convention on monetary Cryptography and information safeguard, FC 2014, held in San Juan, Puerto Rico, in January 2015. The 23 revised complete papers and 10 brief papers have been conscientiously chosen and reviewed from 102 complete papers submissions. The papers are grouped within the following topical sections: sidechannels; cryptography within the cloud; cost and fraud detection; authentication and entry keep an eye on; cryptographic primitives; cellular defense; privateness and incentives; functions and assaults; authenticated information structures.

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Extra info for Financial Cryptography and Data Security: 19th International Conference, FC 2015, San Juan, Puerto Rico, January 26-30, 2015, Revised Selected Papers

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Ethnographic accounts from the 1980’s noted that cybercriminal organizations lacked characteristics of a mob, as they do not specialize [22]. g. to leverage comparative advantage [18]. In this paper, we begin to explore the notion of ‘organization’ in 34 V. Garg et al. cybercrime as it applies to underground forums. We analyze three underground forums that were leaked anonymously and were publicly available. Our study is orthogonal to the previous studies on these forums that provided descriptions of the forums [26], analyzed cybercrime commons [2] and proposed an algorithmto identify duplicate identities of pseudonymous cybercriminals [1].

These categories, which include sectors such as Real Estate, Legal Services, Construction or Agricultural Services, seem even protected from receiving targeted cyber attacks. Yet, it does Are You at Risk? Profiling Organizations and Individuals 21 Table 1. Odds ratios (OR) for the sectors that the highest and lowest association with targeted attacks. 033 not mean that organizations in these sectors will never see any targeted attack, however it is much less likely, and if this happens, it is unlikely to be due to their business activity but rather to some other factor.

More than 500 connections. Based on the organizations that we have analyzed, employees based in US, Brazil, and India are at significantly reduced risk of being targeted, however, employees in China, Europe, and Australia are at high risk of being targeted. This is quite surprising. While it is hard to make any reasoning without deeper investigation, the reason for obtaining such results for the location-based feature might be due to the nature of our data collection methodology for the individuals.

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