Titlebook: Cloud Computing and Security; Second International Xingming Sun,Alex Liu,Elisa Bertino Conference proceedings 2016 Springer International P

Banquet

https://doi.org/10.1007/978-3-030-85784-4e crowdsensing application without requiring reputation knowledge. By integrating data clustering with logical reasoning, CLOR is able to formally separate false and normal data, make credibility assessment, and filter out the false ingredient. Simulation results show that improved data credibility can be achieved effectively with our scheme.

放弃

挫败

使声音降低

ERUPT

Improving Data Credibility for Mobile Crowdsensing with Clustering and Logical Reasoninge crowdsensing application without requiring reputation knowledge. By integrating data clustering with logical reasoning, CLOR is able to formally separate false and normal data, make credibility assessment, and filter out the false ingredient. Simulation results show that improved data credibility can be achieved effectively with our scheme.

造反,叛乱

PTOM: Profit Concerning and Truthful Online Spectrum Double Auction Mechanismbid, we design an efficient admission and pricing rule to improve the auctioneer’s profit. Theoretical analyses are provided to prove that our mechanism has nice economic properties including individual rationality, budget-balance and resistance of time-based and value-based cheating.

locus-ceruleus

ANT

Combating TNTL: Non-Technical Loss Fraud Targeting Time-Based Pricing in Smart Grid“steal” time. Thus, existing schemes cannot detect them. In this paper, we summarize four attack models of TNTL frauds and analyze various attacks in Smart Grid. We eliminate attacks that do not relate to TNTL frauds and propose countermeasures for those related attacks to prevent TNTL frauds.

大沟