Download e-book for kindle: Data Privacy Management and Autonomous Spontaneous Security: by Panayiotis Kotzanikolaou, Emmanouil Magkos, Nikolaos

By Panayiotis Kotzanikolaou, Emmanouil Magkos, Nikolaos Petrakos, Christos Douligeris (auth.), Roberto Di Pietro, Javier Herranz, Ernesto Damiani, Radu State (eds.)

ISBN-10: 3642358896

ISBN-13: 9783642358890

ISBN-10: 364235890X

ISBN-13: 9783642358906

This e-book constitutes the completely refereed joint publish complaints of 2 foreign workshops, the seventh foreign Workshop on info privateness administration, DPM 2012, and the fifth foreign Workshop on self sufficient and Spontaneous safety, SETOP 2012, held in Pisa, Italy, in September 2012. the amount comprises thirteen complete papers chosen out of 31 submissions and three keynote lectures from the DPM workshop and 10 papers chosen between a number of submissions from the SETOP workshop. The contributions from DPM conceal themes from position privateness, electorate' privateness, privateness, authentication with anonymity, privateness in allotted structures, privateness rules, and automatic privateness enforcement. The SETOP contributions offer a different view of ongoing protection examine paintings in a couple of rising environments which are turning into a part of the worldwide ICT infrastructure, from content-centric to cellular and instant networks. additionally, a few of them conceal the most important function of run-time enforcement in approach and repair safety. the subjects of SETOP papers comprise: defense coverage deployment; dispensed intrusion detection; self reliant and spontaneous reaction; privateness rules; safe localization; context acutely aware and ubiquitous computing; id management.

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Additional resources for Data Privacy Management and Autonomous Spontaneous Security: 7th International Workshop, DPM 2012, and 5th International Workshop, SETOP 2012, Pisa, Italy, September 13-14, 2012. Revised Selected Papers

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4. DCI decoding performance as a function of SNR. Here the DCI size is 44 bits. The PDCCH size is (a) 144 bits, (b) 288 bits Fig. 5. PDCCH BER for various values of tag power allocation. Here the PDCCH size is 288 bits, 16 tags are embedded. 04. Referring back to Figure 4, this BER corresponds to a DCI decoding error rate of 10−4 . After confirming that we can indeed allocate part of the transmission power to the identification tags, we evaluate the tag detection performance under various system settings.

4). Suppose a user moves from 1 to 5 with one-hour stay at 3 32 X. Chen, D. Fonkwe, and J. Pang and t i is the time the user passes i . Then he has two trips with tδ being 30 minutes – ( k1 , t 1 , t 2 , k2 , t 2 , t 3 ) and ( k3 , t 3 , t 4 , k4 , t 4 , t 5 ). The notations used in this paper are summarised in Tab. 1. Table 1. Notations U L T LK TR fee(tr) cost u Tr u d(tr1 , tr2 ) set of users set of locations set of time points set of links set of trips trip tr fee user u’s toll payment a trace of user u distance between tr1 and tr2 Fig.

2 summarises the results of running our algorithm on datasets with increasing sizes. 7 are executed sequentially. We use reduction rate to measure the number of traces removed from initial traceability sets by each check in addition to the previous one. We use ‘#initTrace’ to denote the number of traces in the initial traceability sets (without performing any checks), and ‘#Trace’ and ‘#Reduc’ to represent the number of traces left and the reduction rate after each check. Specifically, using reachability check, the proportion of removed traces stays around 15% when the number of users is larger than 14.

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Data Privacy Management and Autonomous Spontaneous Security: 7th International Workshop, DPM 2012, and 5th International Workshop, SETOP 2012, Pisa, Italy, September 13-14, 2012. Revised Selected Papers by Panayiotis Kotzanikolaou, Emmanouil Magkos, Nikolaos Petrakos, Christos Douligeris (auth.), Roberto Di Pietro, Javier Herranz, Ernesto Damiani, Radu State (eds.)


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