Abstract
The integration of 6LoWPAN standard in the Internet of Things (IoT) has been emerging and applied in many domains such as smart transportation and healthcare. However, given the resource constrained nature of nodes in the IoT, 6LoWPAN is vulnerable to a variety of attacks, among others, replication attack can be launched to consume the node’s resources and degrade the network’s performance. This paper therefore proposes a trust-based detection strategy against replication attacks in IoT, where a number of replica nodes are intentionally inserted into the network to test the reliability and response of witness nodes. We further assess the feasibility of the proposed detection strategy and compare with other two strategies of brute-force and first visited with a thorough simulation, taking into account the detection probability for compromised attacks and the execution time of transactions. The simulation results show that the proposed trust-based strategy can significantly increase the detection probability to 90% on average against replication attacks, while within the number of nodes up to 1000 the detection runtime on average keeps around 60 s.
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References
Benkhelifa, E., Welsh, T., Hamouda, W.: A critical review of practices and challenges in intrusion detection systems for IoT: toward universal and resilient systems. IEEE Commun. Surv. Tutor. 20(4), 3496–3509 (2018)
Bogari, E.A., Zavarsky, P., Lindskog, D., Ruhl, R.: An analysis of security weaknesses in the evolution of RFID enabled passport. In: World Congress on Internet Security (WorldCIS-2012), pp. 158–166. IEEE (2012)
Buczak, A.L., Guven, E.: A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Commun. Surv. Tutor. 18(2), 1153–1176 (2016)
Jaballah, W.B., Conti, M., Filè, G., Mosbah, M., Zemmari, A.: Whac-a-mole: smart node positioning in clone attack in wireless sensor networks. Comput. Commun. 119, 66–82 (2018)
Kamble, A., Malemath, V.S., Patil, D.: Security attacks and secure routing protocols in RPL-based Internet of Things: survey. In: 2017 International Conference on Emerging Trends & Innovation in ICT (ICEI), pp. 33–39. IEEE (2017)
Mayzaud, A., Badonnel, R., Chrisment, I.: A taxonomy of attacks in RPL-based Internet of Things. Int. J. Netw. Secur. 18(3), 459–473 (2016)
Mbarek, B., Ge, M., Pitner, T.: Enhanced network intrusion detection system protocol for Internet of Things. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing, pp. 1156–1163 (2020)
Medjek, F., Tandjaoui, D., Romdhani, I., Djedjig, N.: Performance evaluation of RPL protocol under mobile Sybil attacks. In: 2017 IEEE Trustcom/BigDataSE/ICESS, pp. 1049–1055. IEEE (2017)
Mishra, P., Varadharajan, V., Tupakula, U., Pilli, E.S.: A detailed investigation and analysis of using machine learning techniques for intrusion detection. IEEE Commun. Surv. Tutor. 2018, 686–728 (2018)
Österlind, F., Dunkels, A., Eriksson, J., Finne, N., Voigt, T.: Cross-level sensor network simulation with COOJA. In: First IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp 2006) (2006)
Pongle, P., Chavan, G.: A survey: attacks on RPL and 6LoWPAN in IoT. In: 2015 International Conference on Pervasive Computing (ICPC), pp. 1–6. IEEE (2015
Ray, B.R., Chowdhury, M.U., Abawajy, J.H.: Secure object tracking protocol for the Internet of Things. IEEE Internet Things J. 3(4), 544–553 (2016)
Sahay, R., Geethakumari, G., Modugu, K.: Attack graph—based vulnerability assessment of rank property in RPL-6LOWPAN in IoT. In: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), pp. 308–313. IEEE (2018)
Shreenivas, D., Raza, S., Voigt, T.: Intrusion detection in the RPL-connected 6LoWPAN networks, pp. 31–38 (2017)
Singh, B., Srikanth, D., Suthikshn Kumar, C.R.: Mitigating effects of black hole attack in mobile Ad-Hoc NETworks: military perspective. In: 2016 IEEE International Conference on Engineering and Technology (ICETECH), pp. 810–814. IEEE (2016)
Vazifehdan, J., Prasad, R.V., Jacobsson, M., Niemegeers, I.: An analytical energy consumption model for packet transfer over wireless links. IEEE Commun. Lett. 16(1), 30–33 (2011)
Verma, A., Ranga, V.: Mitigation of DIS flooding attacks in RPL-based 6LoWPAN networks. Trans. Emerg. Telecommun. Technol. 31(2), e3802 (2020)
Acknowledgements
This research was supported from ERDF/ESF “CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence” (No. CZ.02.1.01/0.0/0.0/16_019/ 0000822).
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Mbarek, B., Ge, M., Pitner, T. (2021). Trust-Based Detection Strategy Against Replication Attacks in IoT. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-030-75075-6_53
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DOI: https://doi.org/10.1007/978-3-030-75075-6_53
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