Cloud Computing and Security: Second International by Xingming Sun, Alex Liu, Han-Chieh Chao, Elisa Bertino

By Xingming Sun, Alex Liu, Han-Chieh Chao, Elisa Bertino

This quantity set LNCS 10039 and 10040 constitutes the refereed post-conference complaints of the second one foreign convention on Cloud Computing and defense, ICCCS 2016, held in Nanjing, China, in the course of July 29-31, 2016.

The ninety seven papers of those volumes have been rigorously reviewed and chosen from 272 submissions. The papers are geared up in topical sections equivalent to: details Hiding, Cloud Computing, Cloud safeguard, IOT purposes, Multimedia purposes, Multimedia safety and Forensics.

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Additional resources for Cloud Computing and Security: Second International Conference, ICCCS 2016, Nanjing, China, July 29-31, 2016, Revised Selected Papers, Part II

Example text

The sensing plan of each ui can be described as si = {Li , ri , time budgeti , bi }, where Li is the geographical location of ui , ri is the acting radius of ui , time budgeti is the An Efficient Task Assignment Mechanism for Crowdsensing Systems 17 upper bound of ui ’s working time duration, and bi is the per-unit time bid of ui for completing the tasks. Usually, people only want to do the tasks nearby. Thus, we assume that each user only wants to do the tasks that are located in the circle within the geographical location Li as the center and ri as the radius.

Shamir’s SS is divided into two algorithms: secret share algorithm and secret reconstruct algorithm. Secret share algorithm uses a polynomial f ðxÞ to hide D. The description in detail is as follows: • f(x) = ak–1xk−1 + … + a1x + a0 (mod p) is picked, where a0 = D and ai(i = 1, 2, 3, …, k – 1) are random numbers over GF(p). • n shares are calculated, Di = f(Xi)(i = 1, …, n), where Xi is the random number over GF(p). • Di(i = 1, …, n) are shared to the corresponding group members. Secret reconstruct algorithm aims to recover D.

A survey of mobile phone sensing. IEEE Commun. Mag. 48(9), 140–150 (2010) 13. : Profit-maximizing incentive for participatory sensing. In: IEEE INFOCOM 2014, pp. 127–135 (2014) 24 Z. Shi et al. 14. : Social network and tag sources based augmenting collaborative recommender system. IEICE Trans. Inf. Syst. 98(4), 902–910 (2015) 15. : Zee: zero-effort crowdsourcing for indoor localization. In Proceedings of the 18th Annual International Conference on Mobile Computing and Networking (MobiCom 2012), pp.

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