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Privacy-Preserving Ride Sharing Scheme with Global Social Network for Vehicles Using Big Data


Affiliations
1 Department of C.S.E, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu, India
 

Objectives: To built up a productive ride sharing come auto pooling application which empowers the client to go to their goals on the fly easily and reasonable subject to time, limit, and money related limitations, guaranteeing the protection and security concerns and guarantees the client for playing it safe on the goal relying upon the customized setting mindful wellbeing levels. Methods: Taxi-sharing framework acknowledges taxi travelers’ ongoing ride demands sent from advanced mobile phones. It plans appropriate taxicabs to get them through ridesharing and private riding, subject to time limit and fiscal requirements. An auto pooling choice for private auto proprietors whoever goes in a customary course. A customized setting mindful security forecast and proposal for goal area is accommodated by guaranteeing precautionary measures. Findings: This plan can accomplish alluring security highlights. Consequently, we built up a productive ridesharing come auto pooling application which empowers the client to go to their goals on the fly easily and reasonable subject to time, limit, and money related limitations, guaranteeing the protection and security concerns and guarantees the client for playing it safe on the goal relying upon the customized setting mindful wellbeing levels. Improvements: Distinctive instances of ride sharing can be improved out by our plan with considering the clients’ inclinations.
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  • Ahmed BT, Sheriff, Rabies K, Mahmud M, Liang X. Privacy-preserving ride sharing scheme for autonomous vehicles in big data era. IEEE Internet of Things Journal. 2017; 4(2):611–8. crossref
  • Shao J, Lin X, Lu R, Zuo C. A threshold anonymous authentication protocol for vanets. IEEE Transactions on Vehicular Technology. 2016; 65(3):1711–20. crossref
  • Liang X, Cao Z, Shoo J, Lin H. Short group signature without random oracles. Information and Communications Security. 2007; 4861:69–82.
  • Cao N, Wang C, Li M, Ran K, Lou W. Privacy-preserving multi-keyword ranked search over encrypted cloud data. IEEE Transactions on Parallel and Distributed Systems. 2014; 25(1):222–33. crossref
  • Yij ML, Assent I, Jensen CS, Kilns P. Outsourced Similarity Search on Metric Data Assets. IEEE Transactions on Knowledge and Data Engineering. 2012; 24(2):338–52. crossref
  • Petit J, Shaver SE. Potential cyber attacks on automated vehicles. IEEE Transactions on Intelligent Transportation Systems. 2015; 16(2):546–56.
  • Dunning LA, Kerman R. Privacy preserving data sharing with anonymous ID assignment. IEEE Transactions on Information Forensics and Security. 2013; 8(2):402–13.
  • Mahmud M, Shin X. Cloud-based Scheme for protecting source location privacy against hotspot-locating attack in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems. 2012; 23(10):1805–18. crossref

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  • Privacy-Preserving Ride Sharing Scheme with Global Social Network for Vehicles Using Big Data

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Authors

R. Vignesh
Department of C.S.E, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu, India
B. Keerthi Samhitha
Department of C.S.E, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu, India
C. M. Suja
Department of C.S.E, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu, India
S. Divya
Department of C.S.E, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu, India

Abstract


Objectives: To built up a productive ride sharing come auto pooling application which empowers the client to go to their goals on the fly easily and reasonable subject to time, limit, and money related limitations, guaranteeing the protection and security concerns and guarantees the client for playing it safe on the goal relying upon the customized setting mindful wellbeing levels. Methods: Taxi-sharing framework acknowledges taxi travelers’ ongoing ride demands sent from advanced mobile phones. It plans appropriate taxicabs to get them through ridesharing and private riding, subject to time limit and fiscal requirements. An auto pooling choice for private auto proprietors whoever goes in a customary course. A customized setting mindful security forecast and proposal for goal area is accommodated by guaranteeing precautionary measures. Findings: This plan can accomplish alluring security highlights. Consequently, we built up a productive ridesharing come auto pooling application which empowers the client to go to their goals on the fly easily and reasonable subject to time, limit, and money related limitations, guaranteeing the protection and security concerns and guarantees the client for playing it safe on the goal relying upon the customized setting mindful wellbeing levels. Improvements: Distinctive instances of ride sharing can be improved out by our plan with considering the clients’ inclinations.

References





DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i21%2F123154