SPIR: A Secure and Privacy-Preserving Incentive Scheme for Reliable Real-Time Map Updates

A Lightweight Secure Management Scheme for Energy Harvesting Dynamic Wireless Charging System

“…In the charging(recharging) phase, since CP only compares the received Token with the already saved Token, the time taken can be ignored; in the transaction phase, the detail of computation cost has been analyzed in [20], so we do not discuss these two phases. We will use the calculated time for each cryptography operation that has been measured in [35], where the time used for RSA signature is T Sig = 3.85ms, the time used for RSA verification is T V er = 0.19ms, the time used for public key encryption and decryption is T P E = 3.85ms, T P D = 3.85ms, the time used for encryption and decryption is T Enc = 0.0046ms, T Dec = 0.0046ms, the time used for selecting random number is T RN = 0.539ms, the time used for point multiplication is T P M = 2.226ms, the time used for hash based message authentication is T M AC = 0.0046 and the time used for hash mapping T H 2 = 12.42ms. As shown is Fig.3, during registration the PSS and the EV totally cost 4T P M +3T Sig +3T P E +3T V er +3T P D +2T RN = 45.202ms, of which the PSS costs 2T Sig + 2T P E + 2T P M + T V er + T P D + T RN = 24.431 and the the EV costs 2T V er + 2T P D + T P E + T Sig + T RN + T P M = 20.771ms.…”

Towards a Smart Privacy-Preserving Incentive Mechanism for Vehicular Crowd Sensing

“…Some privacy-preserving incentive mechanisms (PPIMs) have been proposed for protecting vehicles' privacy in VCS. However, these schemes either rely on a central platform [4] or lack of considering the fairness of the incentive mechanism [5], leading to collusion attack [6], potential privacy disclosure, or inadequate incentive. As the most popular distributed technology, blockchain has enabled incentive mechanism in VCS for secured authentication and collusion attack resistance.…”

“…To be specific, smart contracts running on the blockchain take the place of the centralized platform to run the incentive mechanisms, which handles all interactions and overcomes the challenges of centralized execution, e.g., collusions between TA and RSUs, RSUs and vehicles. Although a few blockchain-based PPIMs [4,5,7] have been proposed, they either need a trusted third party to assist the privacy protection [4,7] or lack the fairness of the payments [5].…”

“…To address the fairness issue, most auction-based incentive mechanisms [4,[8][9][10] encourage vehicles to take part in crowd sensing tasks, where they submit bids to the central platform to compete for a task. e platform selects winning users to perform tasks and get paid.…”

UAV‐enabled computation migration for complex missions: A reinforcement learning approach

“…Although cloud computing seems to be a potential solution to address the resources shortage problem, it suffers high communication expenses and high transmission delay due to the involvement of the core network [2]. In order to reduce the transmission delay, the concept of mobile edge computing (MEC) was investigated extensively in recent years with the main idea of moving the computation resources from the cloud to the edge of the network [1, 3, 4]. Although the computing capability of a single edge server is not as powerful as that of the cloud server, the low communication delay and the large number of cooperatively working edge servers make the total delay lower than the cloud computing.…”