Top

Telecommunication Systems

Published in:

08-03-2017

ESSPR: an efficient secure routing scheme based on searchable encryption with vehicle proxy re-encryption for vehicular peer-to-peer social network

Authors: Mohamed Amine Ferrag, Ahmed Ahmim

Published in: Telecommunication Systems | Issue 3/2017

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

In this paper, we propose an Efficient Secure routing Scheme based on searchable encryption with vehicle Proxy Re-encryption, called ESSPR, for achieving privacy preservation of message in vehicular peer-to-peer social network (VP2PSN). Specifically, the proposed ESSPR scheme consists of six phases: system initializations phase, peer registration phase, document generation phase, document forwarding phase, vehicle proxy re-encryption phase, and document receiving phase. Based on rationale of QoS-based clustering strategy, public key encryption with keyword search, identity based aggregate signature, and proxy re-encryption, ESSPR provides privacy for keyword, privacy for resources, and authentication and data integrity of the demand’s source. In addition, ESSPR is robust against eavesdropping attack, wormhole attack, packet analysis attack, packet tracing attack, and replay attack. Through performance evaluation, we demonstrate the effectiveness of ESSPR in terms of delivery ratio, average delay, average fairness, and detection ratio under malicious peers proportions in VP2PSN.

previous article Energy-efficient transceiver designs for multiuser MIMO cognitive radio networks via interference alignment

next article Packet dispatching using module matching in the modified MSM Clos-network switch

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Lu, R., Lin, X., Liang, X., & Shen, X. (2010). Sacrificing the plum tree for the peach tree: A socialspot tactic for protecting receiver-location privacy in VANET. In GLOBECOM-IEEE global telecommunications conference. doi:10.1109/GLOCOM.2010.5683313.

Gerla, M., & Kleinrock, L. (2011). Vehicular networks and the future of the mobile internet. Computer Networks, 55(2), 457–469. doi:10.1016/j.comnet.2010.10.015.CrossRef

Gerla, M., Lee, E.K., Pau, G., & Lee, U. (2014). Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds. In Internet of things (WF-IoT), 2014 IEEE World Forum on, IEEE, pp. 241–246.

Jiau, M.-K., Huang, S.-C., Hwang, J.-N., & Vasilakos, A. V. (2015). Multimedia services in cloud-based vehicular networks. IEEE Intelligent Transportation Systems Magazine, 7(3), 62–79.CrossRef

Han, W., & Xiao, Y. (2016). Privacy preservation for v2g networks in smart grid: A survey. Computer Communications, 91, 17–28.CrossRef

Motioncars, Trends to transform auto industry (2017). URL https://motioncars.inquirer.net/47744/trends-transform-auto-industry.

Liang, X., Barua, M., Lu, R., Lin, X., & Shen, X. (2012). HealthShare: Achieving secure and privacy-preserving health information sharing through health social networks. Computer Communications, 35(15), 1910–1920. doi:10.1016/j.comcom.2012.01.009.CrossRef

Lu, R., Lin, X., & Shen, X. (2010) SPRING: A social-based privacy-preserving packet forwarding protocol for vehicular delay tolerant networks. In Proceedings-IEEE INFOCOM. doi:10.1109/INFCOM.2010.5462161.

Ferrag, M. A., Nafa, M., & Ghanemi, S. (2014). SDPP: An intelligent secure detection scheme with strong privacy-preserving for mobile peer-to-peer social network. International Journal of Information and Computer Security, 6(3), 241–269. doi:10.1504/IJICS.2014.066650.CrossRef

10.

Ferrag, M. A., Nafa, M., & Ghanemi, S. (2016). EPSA: An efficient and privacy preserving scheme against wormhole attack on reactive routing for mobile ad hoc social networks. International Journal of Security and Networks, 11(3), 107–125. doi:10.1504/IJSN.2016.10000172.CrossRef

11.

Shao, J., Lin, X., Lu, R., & Zuo, C. (2016). A threshold anonymous authentication protocol for VANETs. IEEE Transactions on Vehicular Technology, 65(3), 1711–1720. doi:10.1109/TVT.2015.2405853.CrossRef

12.

Barua, M., Liang, X., Lu, R., & Shen, X. (2014). RCare: Extending secure health care to rural area using VANETs. Mobile Networks and Applications, 19(3), 318–330. doi:10.1007/s11036-013-0446-y.CrossRef

13.

Lu, R., Lin, X., Liang, X., & Shen, X. (2012). A dynamic privacy-preserving key management scheme for location-based services in VANETs. IEEE Transactions on Intelligent Transportation Systems, 13(1), 127–139. doi:10.1109/TITS.2011.2164068.CrossRef

14.

Lu, R., Lin, X., Luan, T. H., Liang, X., & Shen, X. (2012). Pseudonym changing at social spots: An effective strategy for location privacy in VANETs. IEEE Transactions on Vehicular Technology, 61(1), 86–96. doi:10.1109/TVT.2011.2162864.CrossRef

15.

Chen, L., Ng, S. L., & Wang, G. (2011). Threshold anonymous announcement in VANETs. IEEE Journal on Selected Areas in Communications, 29(3), 605–615. doi:10.1109/JSAC.2011.110310.CrossRef

16.

Sun, Y., Lin, X., Lu, R., Shen, X., & Su, J. (2010). Roadside units deployment for efficient short-time certificate updating in VANETs. In IEEE international conference on communications. doi:10.1109/ICC.2010.5502183.

17.

Hu, H., Lu, R., & Zhang, Z. (2015). TPSQ: Trust-based platoon service query via vehicular communications. Peer-to-Peer Networking and Applications,. doi:10.1007/s12083-015-0425-0.

18.

Lin, X., Sun, X., Ho, P. H., & Shen, X. (2007). GSIS: A secure and privacy-preserving protocol for vehicular communications. IEEE Transactions on Vehicular Technology, 56(6 I), 3442–3456. doi:10.1109/TVT.2007.906878.

19.

Lin, X., Sun, X., Wang, X., Zhang, C., Ho, P. H., & Shen, X. (2008). TSVC: Timed efficient and secure vehicular communications with privacy preserving. IEEE Transactions on Wireless Communications, 7(12), 4987–4998. doi:10.1109/T-WC.2008.070773.CrossRef

20.

Liang, X., Lin, X., & Shen, X. S. (2014). Enabling trustworthy service evaluation in service-oriented mobile social networks. IEEE Transactions on Parallel and Distributed Systems, 25(2), 310–320. doi:10.1109/TPDS.2013.37.CrossRef

21.

Zhang, K., Liang, X., Lu, R., Yang, K., & Shen, X. S. (2015). Exploiting mobile social behaviors for Sybil detection. In Proceedings-IEEE INFOCOM, Vol. 26, pp. 271–279. doi:10.1109/INFOCOM.2015.7218391.

22.

Ferrag, M. A., Nafa, M., & Ghanemi, S. (2013). ECPDR: An efficient conditional privacy-preservation scheme with demand response for secure ad hoc social communications. International Journal of Embedded and Real-Time Communication Systems (IJERTCS), 4(3), 43–71. doi:10.4018/ijertcs.2013070103.CrossRef

23.

Lu, R., Lin, X., Zhu, H., Shen, X., & Preiss, B. (2010). Pi: A practical incentive protocol for delay tolerant networks. IEEE Transactions on Wireless Communications, 9(4), 1483–1493. doi:10.1109/TWC.2010.04.090557.CrossRef

24.

Ferrag, M. A., Maglaras, L., & Ahmim, A. Privacy-preserving schemes for ad hoc social networks: A survey, arXiv preprint arXiv:1610.06095.

25.

Li, J., Lu, H., & Guizani, M. (2015). ACPN: A novel authentication framework with conditional privacy-preservation and non-repudiation for VANETs. IEEE Transactions on Parallel and Distributed Systems, 26(4), 938–948. doi:10.1109/TPDS.2014.2308215.CrossRef

26.

Lo, N.-W., & Tsai, J.-L. (2016). An efficient conditional privacy-preserving authentication scheme for vehicular sensor networks without pairings. IEEE Transactions on Intelligent Transportation Systems, 17(5), 1319–1328. doi:10.1109/TITS.2015.2502322.CrossRef

27.

Du, S., Zhu, H., Li, X., Ota, K., & Dong, M. (2013). Mixzone in motion: Achieving dynamically cooperative location privacy protection in delay-tolerant networks. IEEE Transactions on Vehicular Technology, 62(9), 4565–4575. doi:10.1109/TVT.2013.2266347.CrossRef

28.

Hu, H., Lu, R., Huang, C., & Zhang, Z. (2016). PTRS: A privacy-preserving trust-based relay selection scheme in VANETs. Peer-to-Peer Networking and Applications,. doi:10.1007/s12083-016-0473-0.

29.

Wang, F., Xu, Y., Zhang, H., Zhang, Y., & Zhu, L. (2016). 2FLIP: A two-factor lightweight privacy-preserving authentication scheme for VANET. IEEE Transactions on Vehicular Technology, 65(2), 896–911. doi:10.1109/TVT.2015.2402166.CrossRef

30.

Zeng, S., Chen, Y., Tan, S., & He, M. (2016). Concurrently deniable ring authentication and its application to LBS in VANETs. Peer-to-Peer Networking and Applications,. doi:10.1007/s12083-016-0433-8.

31.

Ferrag, M.A., Maglaras, L. A., Janicke, H., & Jiang, J. Authentication protocols for internet of things: A comprehensive survey, arXiv preprint arXiv:1612.07206.

32.

Ferrag, M.A., Maglaras, L.A., Janicke, H., & Jiang, J. A survey on privacy-preserving schemes for smart grid communications, arXiv preprint arXiv:1611.07722.

33.

Calandriello, G., Papadimitratos, P., Hubaux, J.-P., & Lioy, A. (2007). Efficient and robust pseudonymous authentication in vanet. In Proceedings of the fourth ACM international workshop on vehicular ad hoc networks, ACM, pp. 19–28.

34.

Shim, K.-A. (2012). Cpas: An efficient conditional privacy-preserving authentication scheme for vehicular sensor networks. IEEE Transactions on Vehicular Technology, 61(4), 1874–1883.CrossRef

35.

Zhang, C., Lu, R., Lin, X., Ho, P.-H., & Shen, X. (2008). An efficient identity-based batch verification scheme for vehicular sensor networks. In INFOCOM 2008. The 27th conference on computer communications. IEEE, IEEE, pp. 246–250.

36.

Vegni, A. M., & Loscri, V. (2015). A survey on vehicular social networks. IEEE Communications Surveys and Tutorials, 17(4), 2397–2419.CrossRef

37.

Hu, X., Chu, T. H., Leung, V. C., Ngai, E. C.-H., Kruchten, P., & Chan, H. C. (2015). A survey on mobile social networks: Applications, platforms, system architectures, and future research directions. IEEE Communications Surveys and Tutorials, 17(3), 1557–1581.CrossRef

38.

Maglaras, L. A., Al-Bayatti, A. H., He, Y., Wagner, I., & Janicke, H. (2016). Social internet of vehicles for smart cities. Journal of Sensor and Actuator Networks, 5(1), 3.CrossRef

39.

Lu, R., Lin, X., Liang, X., & Shen, X. (2011). A secure handshake scheme with symptoms-matching for mHealthcare social network. Mobile Networks and Applications, 16(6), 683–694. doi:10.1007/s11036-010-0274-2.CrossRef

40.

Maglaras, L. A., & Katsaros, D. (2016). Social clustering of vehicles based on semi-markov processes. IEEE Transactions on Vehicular Technology, 65(1), 318–332.CrossRef

41.

W.M. H.-P. Company (2003). Modern Cryptography: Theory and Practice, Vol. 170. doi:10.1093/aje/kwp410. http://portal.acm.org/citation.cfm?id=829543.

42.

Boneh, D., Lynn, B., & Shacham, H. (2004). Short signatures from the weil pairing. Journal of Cryptology, 17(4), 297–319. doi:10.1007/s00145-004-0314-9.CrossRef

43.

Zhang, B., & Zhang, F. (2011). An efficient public key encryption with conjunctive-subset keywords search. Journal of Network and Computer Applications, 34(1), 262–267. doi:10.1016/j.jnca.2010.07.007.CrossRef

44.

Boneh, D., Di Crescenzo, G., Ostrovsky, R., & Persiano, G. (2004). Public Key Encryption with Keyword Search. In Proceedings of the 23rd annual international conference on the theory and applications of cryptographic techniques, pp. 506–522. doi:10.1007/978-3-540-24676-3_30. http://www.springerlink.com/index/0HAFHRBBVT2L7VN3.pdf.

45.

Gentry, C., & Ramzan, Z. (2006). Identity-based aggregate signatures. In International workshop on public key cryptography (pp. 257–273). Springer.

46.

Park, D. J., Cha, J., & Lee, P. J. (2005). Searchable keyword-based encryption. IACR Cryptology ePrint Archive, 2005, 367.

47.

Wahab, O. A., Otrok, H., & Mourad, A. (2013). VANET QoS-OLSR: QoS-based clustering protocol for vehicular ad hoc networks. Computer Communications, 36(13), 1422–1435. doi:10.1016/j.comcom.2013.07.003.CrossRef

48.

Clausen, T., & Jacquet, P. (2003). Optimized link state routing protocol (OLSR) (No. RFC 3626). doi:10.17487/RFC3626. https://www.rfc-editor.org/info/rfc3626.

49.

Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. doi:10.1007/BF01386390.CrossRef

50.

Wang, X. A., Huang, X., Yang, X., Liu, L., & Wu, X. (2012). Further observation on proxy re-encryption with keyword search. Journal of Systems and Software, 85(3), 643–654. doi:10.1016/j.jss.2011.09.035.

51.

TraNS-Open source tool for realistic simulation of VANET applications. http://trans.epfl.ch.

52.

SUMO Simulation of Urban Mobility. http://sumo.sourceforge.net.

53.

The PBC Library. https://crypto.stanford.edu/pbc/.

54.

Wen, M., Lu, R., Lei, J., Li, H., Liang, X., & Shen, X. S. (2014). Sesa: An efficient searchable encryption scheme for auction in emerging smart grid marketing. Security and Communication Networks, 7(1), 234–244.CrossRef

55.

Caballero-Gil, C., Molina-Gil, J., Hernndez-Serrano, J., Len, O., & Soriano-Ibaez, M. (2016). Providing k-anonymity and revocation in ubiquitous VANETs. Ad Hoc Networks, 36, 482–494. doi:10.1016/j.adhoc.2015.05.016.CrossRef

56.

He, D., Zeadally, S., Xu, B., & Huang, X. (2015). An efficient identity-based conditional privacy-preserving authentication scheme for vehicular ad hoc networks. IEEE Transactions on Information Forensics and Security, 10(12), 2681–2691. doi:10.1109/TIFS.2015.2473820.CrossRef

Title: ESSPR: an efficient secure routing scheme based on searchable encryption with vehicle proxy re-encryption for vehicular peer-to-peer social network
Authors: Mohamed Amine Ferrag
Ahmed Ahmim
Publication date: 08-03-2017
Publisher: Springer US
Published in: Telecommunication Systems / Issue 3/2017
Print ISSN: 1018-4864
Electronic ISSN: 1572-9451
DOI: https://doi.org/10.1007/s11235-017-0299-y

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 3/2017

Towards a threat assessment framework for apps collusion

Two-level QoS-aware frame-based downlink resources allocation for RT/NRT services fairness in LTE networks

Packet dispatching using module matching in the modified MSM Clos-network switch

Distributed space-time coding scheme with differential detection and power allocation for cooperative relay network

Outage probability analysis of multi-hop relayed wireless networks over fading channels

Energy-efficient transceiver designs for multiuser MIMO cognitive radio networks via interference alignment