Um algoritmo de reputação centralizado para redes veiculares contra ataques de inconsistência e bad-mouthing

• Diego V. Natividade UFLA
• Luiz H. A. Correia UFLA
• Aldri Santos UFPR

DOI: https://doi.org/10.5753/sbseg.2020.19244

Abstract

Attacks of inconsistency and bad-mouthing are disastrous for reputation services that support decisions on vehicular networks. The critical information exchange, such as traffic or traffic safety, should be reliable to avoid accidents and enable correct decision making. Reputation algorithms must react against attacks in the network and ensure credibility and accuracy in calculating the reputation of each vehicle. This paper proposes the reputation algorithm LETICIA (Lightweight and EfficienT Information exChange In Ad-hoc network) to mitigate attacks of the malicious vehicles in the network. Simulation results show that the LETICIA effectively reduced the reputation of the malicious vehicle against inconsistency attacks while maintaining the reputation of the vehicle honest against collusion attacks by bad-mouthing, when compared to the algorithms ARS, BYOR and BYOR-LF.

References

Bankovíc, Z., Vallejo, J. C., Fraga, D., and Moya, J. M. (2011). Detecting bad-mouthing attacks on reputation systems using self-organizing maps. In Computational Intelligence in Security for Information Systems, pages 9–16, Berlin, Heidelberg.

Cervantes, C., Poplade, D., Nogueira, M., and Santos, A. (2014). Um sistema de detecção de ataques sinkhole sobre 6lowpan para internet das coisas. XIV Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais, pages 153–166.

Dotzer, F., Fischer, L., and Magiera, P. (2005). Vars: a vehicle ad-hoc network reputation system. In 6o IEEE Internat. Symposium on a World of Wireless Mobile and Multimedia Networks, pages 454–456.

Engoulou, R. G., Bellaiche, M., Halabi, T., and Pierre, S. (2019). A decentralized reputation management system for securing the internet of vehicles. In 2019 International Conference on Computing, Networking and Communications (ICNC), pages 900–904.

Ghaleb, F. A., Maarof, M. A., Zainal, A., Rassam, M. A., Saeed, F., and Alsaedi, M. (2019). Context-aware data-centric misbehaviour detection scheme for vehicular ad hoc networks using sequential analysis of the temporal and spatial correlation of the consistency between the cooperative awareness messages. Vehicular Communications, 20.

Hasrouny, H., Samhat, A. E., Bassil, C., and Laouiti, A. (2017). Vanet security challenges and solutions: A survey. Vehicular Communications, 7:7 – 20.

Hussain, R., Nawaz, W., Lee, J., Son, J., and Seo, J. T. (2016). A hybrid trust management framework for vehicular social networks. In Internat. Conference on Computational Social Networks, pages 214–225.

Jaimes, L. M. S., Ullah, K., and dos Santos Moreira, E. (2016). Ars: Anonymous reputation system for vehicular ad hoc networks. In 8th IEEE LatinCom, pages 1–6.

Jøsang, A., Ismail, R., and Boyd, C. (2007). A survey of trust and reputation systems for online service provision. Decision Support Systems, 43(2):618 – 644.

Li, X., Liu, J., Li, X., and Sun, W. (2013). RGTE: A Reputation-Based Global Trust Establishment in VANETs. In 2013 5th International Conference on Intelligent Networking and Collaborative Systems, pages 210–214.

Mühlbauer, R. and Kleinschmidt, J. H. (2018). Bring your own reputation: A feasible trust system for vehicular ad hoc networks. Journal of Sensor and Actuator Networks, 7(3).

Pedroso, C., Gielow, F., Santos, A., and Nogueira, M. (2019). Mitigação de Ataques IDFs no Serviço de Agrupamento de Disseminação de Dados em Redes IoT Densas. In Anais SBSeg 2019, Porto Alegre, RS, Brasil. SBC.

RoselinMary, S., Maheshwari, M., and Thamaraiselvan, M. (2013). Early detection of dos attacks in vanet using attacked packet detection algorithm (apda). In 2013 International Conference on Information Communication and Embedded Systems (ICICES), pages 237–240.

Ruohomaa, S., Kutvonen, L., and Koutrouli, E. (2007). Reputation management survey. In The Second International Conference on Availability, Reliability and Security (ARES’07), pages 103–111.

Su, S., Tian, Z., Liang, S., Li, S., Du, S., and Guizani, N. (2020). A Reputation Management Scheme for Efficient Malicious Vehicle Identification over 5G Networks. IEEE Wireless Communications, 27(3):46–52.

Trcek, D. (2017). Trust and Reputation Management Systems: An e-Business Perspective. Springer International Publishing.

Zhang, J. (2011). A survey on trust management for vanets. In 2011 IEEE International Conference on Advanced Information Networking and Applications, pages 105–112.