By Ioannis Askoxylakis, Sotiris Ioannidis, Sokratis Katsikas, Catherine Meadows
The two-volume set, LNCS 9878 and 9879 constitutes the refereed court cases of the twenty first ecu Symposium on examine in laptop protection, ESORICS 2016, held in Heraklion, Greece, in September 2016.
The 60 revised complete papers offered have been conscientiously reviewed and chosen from 285 submissions. The papers hide quite a lot of issues in safeguard and privateness, together with facts safeguard: structures safety, community defense, entry regulate, authentication, and safety in such rising parts as cloud computing, cyber-physical platforms, and the web of Things.
Read Online or Download Computer Security – ESORICS 2016: 21st European Symposium on Research in Computer Security, Heraklion, Greece, September 26-30, 2016, Proceedings, Part II PDF
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Extra resources for Computer Security – ESORICS 2016: 21st European Symposium on Research in Computer Security, Heraklion, Greece, September 26-30, 2016, Proceedings, Part II
9 by inserting the same set of unique randomly generated items in the same randomly chosen order. After the initialization we perform 103 find calls that take as an input a randomly chosen item among those that are already in the table in order to warm-up the cache. Then we perform an insertion (resp. deletion) of a randomly generated (resp. chosen) item and record the number of cycles executed by the method. We obtain the number of cycles as the diﬀerence between processor time stamps by means of instruction rdtsc.
An implementation of a data structure is a function F : M × O → M , where M is the set of all possible memory representations and O is the set of all possible ADT operations. Following the terminology of Hartline et al. , let a and b denote the memory representation of states A and B respectively. Let S be a sequence of S → B we indicate that the sequence of operations S takes operations then by A − S → b] denote the probability that starting from state A to state B. Let also Pr[a − memory representation a of state A, the sequence of operations S run by the corresponding implementation yields memory representation b of state B.
We note that the techniques we use are standard but the analysis appears novel. In particular, we focus on the distribution of the individual displacement in the case n/m → α for 0 < α < 1. g. ); hence the average displacement is the same for all policies, but the distribution of displacements is not. Our starting point is the Eq. (1): pi+1 = hi+1 + max(hi − 1, 0). Given a table with load α, it is helpful to start by obtaining a distribution on the entries of the proﬁle. That is, let ηk be the fraction of bins with a count of k in the asymptotic regime as the number of bins grows to inﬁnity.