A Secure AODV Protocol Improvement Scheme Based on Fuzzy Neural Network

  • Tongyi Xie
  • Jiawei MoEmail author
  • Baohua Huang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 255)


Aiming at the possible attacks of malicious nodes in VANET (Vehicle ad hoc network). It is very important to select security nodes in the routing protocols for routing activities. A secure AODV (Ad hoc On-demand Distance Vector Routing) improvement scheme is proposed, namely SGF-AODV (Security AODV with GASA-FNN). This algorithm uses fuzzy neural network to compute node information about routing activities and obtains the trust value of nodes to evaluate the security of nodes. The algorithm considers node security and network environment equally, defends against malicious node attack and balances node utilization rate. In the routing maintenance phase, the parameters of the fuzzy neural network are optimized in real time using the genetic simulated annealing algorithm for the actual environment to ensure that the calculated node trust value is in line with the actual situation. Experiments show that, SGF-AODV relative to AODV, the average delay, packet loss rate, routing overhead are improved.


Vehicular ad hoc networks Node security Fuzzy neural network AODV protocol 



This work was supported by National Natural Science Foundation of China under Grant No. 61262072.


  1. 1.
    Perkins, C., Belding-Royer, E., Das, S.: Request for comments: ad hoc on-demand distance vector (AODV) routing. Exp. Internet Soc. 6(7), 90 (2003)Google Scholar
  2. 2.
    Jain, A., Prajapati, U., Chouhan, P.: Trust based mechanism with AODV protocol for prevention of black-hole attack in MANET scenario. In: Colossal Data Analysis and Networking, pp. 1–5. IEEE, CDAN (2016)Google Scholar
  3. 3.
    Shoja, M.K., Taheri, H., Vakilinia, S.: Preventing black hole attack in AODV through use of hash chain. In: Electrical Engineering, pp. 1–2. IEEE (2011)Google Scholar
  4. 4.
    Balakrishnan, V., Varadharajan, V., Lucs, P., et al.: Trust enhanced secure mobile ad-hoc network routing. In: International Conference on Advanced Information Networking and Applications Workshops, Salt Lake City, Utah, USA, pp. 21–33. IEEE Computer Society (2007)Google Scholar
  5. 5.
    Hiroki, U., Sonoko, T., Hiroshi, S.: An effective secure routing protocol considering trust in mobile ad hoc networks. IPSJ J. 55, 649–658 (2014)Google Scholar
  6. 6.
    Umeda, S., Takeda, S., Shigeno, H.: Trust evaluation method adapted to node behavior for secure routing in mobile ad hoc networks. In: Eighth International Conference on Mobile Computing and Ubiquitous Networking, Melbourne, Australia, pp. 143–148. IEEE (2015)Google Scholar
  7. 7.
    Zhan, G., Shi, W., Deng, J.: Design and implementation of TARF: a trust-aware routing framework for WSNs. IEEE Trans. Dependable Secure Comput. 9(2), 184–197 (2012)CrossRefGoogle Scholar
  8. 8.
    Li, H., Singhal, M.: A secure routing protocol for wireless ad hoc networks. In: Hawaii International Conference on System Sciences, Hawaii, USA, p. 225a. IEEE (2006)Google Scholar
  9. 9.
    Singh, B., Srikanth, D., Kumar, C.R.S.: Mitigating effects of black hole attack in mobile ad-hoc NETworks: military perspective. In: IEEE International Conference on Engineering and Technology, Hammamet, Tunisia, pp. 21–22. IEEE (2016)Google Scholar
  10. 10.
    Zhu, Y.-S., Dou, G.-Q.: A dimensional trust based security data aggregation method in wireless sensor networks. J. Wuhan Univ. (Natural Science Edition). 59(2), 193–197 (2013)Google Scholar
  11. 11.
    Adamic, L.A., Adar, E.: Friends and neighbors on the web. Soc. Netw. 25(3), 211–230 (2003)CrossRefGoogle Scholar
  12. 12.
    Xiao, W., Dong, H., Xin, Q.-L., et al.: Synthesis of large-scale multistream heat exchanger networks based on stream pseudo temperature. Chin. J. Chem. Eng. 14(5), 574–583 (2006)CrossRefGoogle Scholar
  13. 13.
    Rehmani, M.H., Saleem, Y.: Network simulator NS-2. J. Inst. Image Inf. Telev. Eng. 65, 946–949 (2015)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.Research DepartmentGuangxi Institute of EducationNanningChina
  2. 2.Department of Electrical and Computer EngineeringLushan College of Guangxi University of Science and TechnologyLiuzhouChina
  3. 3.School of Computer and Electronic InformationGuangxi UniversityNanningChina

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