By Mohammad S. Obaidat, Joaquim Filipe
This publication constitutes the refereed lawsuits of the tenth overseas Joint convention on E-Business and Telecommunications, ICETE 2013, held in Reykjavik, Iceland, in July 2013. ICETE is a joint overseas convention integrating 4 significant parts of data which are divided into six corresponding meetings: foreign convention on information conversation Networking, DCNET; foreign convention on E-Business, ICE-B; foreign convention on Optical conversation structures, OPTICS; overseas convention on safety and Cryptography, SECRYPT; foreign convention on instant info platforms, WINSYS; and overseas convention on sign Processing and Multimedia, SIGMAP. The 24 complete papers awarded have been conscientiously reviewed and chosen from 341 submissions. The papers conceal the next key parts of e-business and telecommunications: info verbal exchange networking, e-business, optical communique structures, safeguard and cryptography, sign processing and multimedia purposes, instant details networks and systems.
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Extra info for E-Business and Telecommunications: International Joint Conference, ICETE 2013, Reykjavik, Iceland, July 29-31, 2013, Revised Selected Papers
IEEE 80, 520–538 (1992) 7. : Correlation power analysis with a leakage model. -J. ) CHES 2004. LNCS, vol. 3156, pp. 16–29. Springer, Heidelberg (2004) 8. : EM analysis of Rijndael and ECC on a wireless Java-based PDA. , Sunar, B. ) CHES 2005. LNCS, vol. 3659, pp. 250–264. Springer, Heidelberg (2005) 9. : A countermeasure for EM attack of a wireless PDA. In: International Conference on Information Technology: Coding and Computing, 2005, ITCC 2005, vol. 1, pp. 544–549, April 2005 10. : Mutual Information Analysis - A Generic Side-Channel Distinguisher.
If (Ri , Rj ) ∈ E, then τi,j denotes the transmission time between Ri and Rj , / E. The sojourn time of a message in Ri , between and τi,j = ∞ if (Ri , Rj ) ∈ its reception and its forwarding, belongs to the interval [δi , Δi [. This time also holds for the source of messages. Let us ﬁrst compute the intervals of time Ii,j when the ﬁrst LSA originating from Ri is received in Rj if the ﬂooding starts at time 0. ,n} βi,k + Δk + τk,j . The quantities αi,k + δk and βi,k + Δk respectively represent the minimal and the maximal departure times from Rk .
To simulate DVS, 200,000 physically acquired power consumption traces were processed by Algorithm 1. Algorithm 1 splits a time-series into segments and adds a uniformly distributed random voltage oﬀset to each segment. The rationale for simulating a DVS by processing a real signal (rather than adding a simple DVS module to the FPGA) is the desire to work with a rigorously modelled signal, free of the power consumption artefacts created by the DVS module itself. 1 Hilbert Huang Transform and Frequency Leakage Why Should Instantaneous Frequency Variations Leak Information?