Distance and clustering‐based energy‐efficient pseudonyms changing strategy over road network

Abstract

Summary To improve the fairness, the energy consumption changing pseudonyms needs to be taken into account. Existing works focus on changing velocity‐based pseudonyms changing strategy and short changes interval with limited coverage, but due to similar velocity and short changes, internal attacker guesses easily known communication and location information due to location information of vehicle on tracking, which may expose adversary private information, and frequently, pseudonyms changing occurs due to movement of vehicles' similar velocity and short coverage, which may cause serious attack of vehicle. To overcome this problem, distance and cluster can be performed. In this work, we proposed distance and cluster‐based energy pseudonyms changing method for road network. We proposed distance and energy‐based clustering routing service over road network, the cluster head elected to depend on random number of distance and energy to change pseudonyms of vehicles. An each interval to be establish cluster head vehicle deployed while selects the operation mode and informs the cluster members of the selected mode through beacon signal. The cluster head vehicle node performs the pseudonyms changing based on the predicted distance and energy of the cluster member to use clustering optimization. The data of whole network send to report server through these nodes while near the RSU, and the vehicles in this area will use less energy to change the pseudonyms. The simulation results show that the proposed method enhances pseudonyms changing strategy less consumption and delays sufficient privacy level each vehicle also our method has outperform compare with existing methods than we use Sumo simulation and Matlab tools to verify our proposed method. Our proposed method outperformed in terms of pseudonym changing energy efficiency to careful attention during the cluster formation process, stable and balanced clusters that prolong the network lifetime, increases distances to more CH vehicles connectivity to makes clustering group and changing their pseudonyms in terms of high level privacy and finally, CH nodes use Dijkstra's algorithm use MST among the vehicles nodes depend on existing road networks to follow shortest path selection roads in terms of high connectivity probability of CH and stable structure of the network decreases the topology changes and thus,the clustering overhead is reduced.

MADPTM: Mix zones and dynamic pseudonym trust management system for location privacy

“…(1) On location privacy enhanced schemes, the existing trust management systems encounter false negative rates and high false positive in identifying malicious vehicles and determining which message is trustworthy. [4][5][6][7][8] There is a dilemma between ensuring traffic safety and protecting the privacy of drivers in road networks. (2) In a multi-hop event scenario, if adversaries forward contradicting opinions earlier to trustworthy vehicles, then the honest vehicle may be misled.…”

“…Further, broadcasting messages are transmitted in high frequency, and in plain text with digital signatures for ensuring the non‐repudiation of the transmitted message. In order to provide privacy in road network, pseudonyms are used while vehicles are trusted . The pseudonyms make it difficult to link the vehicle‐movement pattern together.…”

“…In order to provide privacy in road network, pseudonyms are used while vehicles are trusted. 7 The pseudonyms make it difficult to link the vehicle-movement pattern together. In Wei et al, 42 through the use of the SBAP protocol, vehicles can still use mix zone with pseudonyms which can ensure location privacy.…”

“…19,21,43 Intuitively, (T r ) rises with rises of Tr. Moreover, the T r can be obtained by optimal value from ensuing problem: maximize T r subject to N T r ð Þ≤ Θ: (7) 3.7 | Pseudonym changing the probability…”

“…However, the existing trust management system still encounters some challenges. (1) On location privacy enhanced schemes, the existing trust management systems encounter false negative rates and high false positive in identifying malicious vehicles and determining which message is trustworthy . There is a dilemma between ensuring traffic safety and protecting the privacy of drivers in road networks.…”