[1] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, "Internet of things: A survey on enabling technologies, protocols, and applications," IEEE Commun. Surv. Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.
[2] I. Sadek, S. U. Rehman, J. Codjo, and B. Abdulrazak, "Privacy and security of IoT based healthcare systems: concerns, solutions, and recommendations," in Proc. 17th Int. Conf. How AI Impacts Urban Living and Public Health (ICOST), New York City, NY, USA, Oct. 14–16, pp. 3–17, 2019.
[3] S. Görmüş, H. Aydın, and G. Ulutaş, "Security for the Internet of Things: A Survey of Existing Mechanisms, Protocols and Open Research Issues," J. Fac. Eng. Archit. Gazi Univ., vol. 33, no. 4, pp. 1247–1272, 2018.
[4] T. Winter, P. Thubert, A. Brandt, J. Hui, R. Kelsey, P. Levis, K. Pister, R. Struik, J. P. Vasseur, and R. Alexander, "RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks," RFC 6550, Mar. 2012.
[5] I. S. Alsukayti and A. Singh, "A Lightweight Scheme for Mitigating RPL Version Number Attacks in IoT Networks," IEEE Access, vol. 10, pp. 111115–111133, 2022.
[6] M. Hassan, N. Tariq, A. Alsirhani, A. Alomari, F. A. Khan, and M. M. Alshahrani, "GITM: A GINI Index-Based Trust Mechanism to Mitigate and Isolate Sybil Attack in RPL-Enabled Smart Grid Advanced Metering Infrastructures," IEEE Access, vol. 11, pp. 62697–62720, 2023.
[7] D. Airehrour, J. A. Gutierrez, and S. K. Ray, "SecTrust-RPL: A secure trust-aware RPL routing protocol for Internet of Things," Future Generation Computer Systems, vol. 93, pp. 860–876, 2019.
[8] S. Murali and A. Jamalipour, "Mobility-aware energy-efficient parent selection algorithm for low power and lossy networks," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2593–2601, 2018.
[9] H. Kharrufa, H. A. Al-Kashoash, and A. H. Kemp, "RPL-based routing protocols in IoT applications: A review," IEEE Sensors Journal, vol. 19, no. 15, pp. 5952–5967, 2019.
[10] P. Thubert, "Objective function zero for the routing protocol for low-power and lossy networks (RPL)," RFC 6550, 2012.
[11] O. Gnawali and P. Levis, "The minimum rank with hysteresis objective function," RFC 6719, Sep. 2012.
[12] P. Nandhini et al., "Enhanced Rank Attack Detection Algorithm (E-RAD) for securing RPL-based IoT networks by early detection and isolation of rank attackers," The Journal of Supercomputing, 2022, pp. 1–24.
[13] F. V. Nejad, M. M. G. Sadeghi, and M. H. Rezvani, "Analysis of Decreased Rank Attack on RPL-Based IoT Networks," in 2024 10th International Conference on Web Research (ICWR), 2024, IEEE.
[14] A. Mayzaud, R. Badonnel, and I. Chrisment, "A Taxonomy of Attacks in RPL-based Internet of Things," International Journal of Network Security, vol. 18, no. 3, pp. 459–473, 2016.
[15] R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press, 2018.
[16] X. Wang, Z. Yang, G. Chen, and Y. Liu, "A Reinforcement Learning Method of Solving Markov Decision Processes: An Adaptive Exploration Model Based on Temporal Difference Error," Electronics, vol. 12, no. 19, p. 4176, 2023.
[17] B. B. Zarpelão, R. S. Miani, C. T. Kawakani, and S. C. de Alvarenga, "A survey of intrusion detection in Internet of Things," Journal of Network and Computer Applications, vol. 84, pp. 25–37, 2017.
[18] S. Raza, L. Wallgren, and T. Voigt, "SVELTE: Real-time intrusion detection in the Internet of Things," Ad Hoc Networks, vol. 11, no. 8, pp. 2661–2674, 2013.
[19] S. Y. Hashemi and F. S. Aliee, "Dynamic and comprehensive trust model for IoT and its integration into RPL," The Journal of Supercomputing, vol. 75, no. 7, pp. 3555–3584, 2019.
[20] S. Y. Hashemi and F. Shams Aliee, "Fuzzy, dynamic and trust based routing protocol for IoT," Journal of Network and Systems Management, vol. 28, no. 4, pp. 1248–1278, 2020.
[21] N. Djedjig, D. Tandjaoui, F. Medjek, and I. Romdhani, "Trust-aware and cooperative routing protocol for IoT security," Journal of Information Security and Applications, vol. 52, p. 102467, 2020.
[22] H. B. Patel and D. C. Jinwala, "Trust and Strainer Based Approach for Mitigating Blackhole Attack in 6LoWPAN: A Hybrid Approach," IAENG International Journal of Computer Science, vol. 48, no. 4, pp. 1062–1074, 2021.
[23] T. ul Hassan, M. Asim, T. Baker, J. Hassan, and N. Tariq, "CTrust‐RPL: A control layer‐based trust mechanism for supporting secure routing in routing protocol for low power and lossy networks‐based Internet of Things applications," Transactions on Emerging Telecommunications Technologies, vol. 32, no. 3, p. e4224, 2021.
[24] K. Prathapchandran and T. Janani, "A trust aware security mechanism to detect sinkhole attack in RPL-based IoT environment using random forest–RFTRUST," Computer Networks, vol. 198, p. 108413, 2021.
[25] K. Prathapchandran and T. Janani, "A trust-based security model to detect misbehaving nodes in Internet of Things (IoT) environment using logistic regression," in Journal of Physics: Conference Series, IOP Publishing, 2021.
[26] B. Mbarek, M. Ge, and T. Pitner, "Proactive trust classification for detection of replication attacks in 6LoWPAN-based IoT," Internet of Things, vol. 16, p. 100442, 2021.
[27] A. O. Bang and U. P. Rao, "A novel decentralized security architecture against Sybil attack in RPL-based IoT networks: a focus on smart home use case," The Journal of Supercomputing, vol. 77, no. 12, pp. 13703–13738, 2021.
[28] B. Rakesh, "Novel Authentication and Secure Trust based RPL Routing in Mobile sink supported Internet of Things," Cyber-Physical Systems, 2021, pp. 1–34.
[29] D. Arshad, M. Usman, A. Rauf, and S. A. R. Zaidi, "THC-RPL: A lightweight Trust-enabled routing in RPL-based IoT networks against Sybil attack," PLOS ONE, vol. 17, no. 7, p. e0271277, 2022.
[30] S. M. Muzammal, S. Khan, S. A. Khan, and M. S. Khan, "A trust-based model for secure routing against RPL attacks in Internet of Things," Sensors, vol. 22, no. 18, p. 7052, 2022.
[31] S. M. Muzammal, S. Khan, S. A. Khan, and M. S. Khan, "Trust and Mobility-Based Protocol for Secure Routing in Internet of Things," Sensors, vol. 22, no. 16, p. 6215, 2022.
[32] F. Azzedin, "Mitigating denial of service attacks in RPL-based IoT environments: trust-based approach," IEEE Access, vol. 11, pp. 129077–129089, 2023.
[33] P. Levis, N. Patel, D. Culler, and S. Shenker, "The Trickle Algorithm," 2011.
[34] L. Lassouaoui, H. Ouabida, and M. Ouzzif, "Evaluation of energy aware routing metrics for RPL," in 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2016, pp. 1–8.
[35] A. Fotouhi, M. Ding, and M. Hassan, "Deep Q-Learning for two-hop communications of drone base stations," Sensors, vol. 21, no. 6, p. 1960, 2021.
[37] G. Violettas, S. Petridou, and L. Mamatas, "Evolutionary software defined networking-inspired routing control strategies for the Internet of Things," IEEE Access, vol. 7, pp. 132173–132192, 2019.
[38] C. J. Watkins and P. Dayan, "Q-learning," Machine Learning, vol. 8, pp. 279–292, 1992.
[39] D. G. Pereira, A. Afonso, and F. M. Medeiros, "Overview of Friedman’s test and post-hoc analysis," Communications in Statistics-Simulation and Computation, vol. 44, no. 10, pp. 2636–2653, 2015.
[40] L. J. Williams and H. Abdi, "Fisher’s least significant difference (LSD) test," in Encyclopedia of Research Design, 2010, vol. 218, no. 4, pp. 840–853.
