Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Internet of Things (IoT) is the new research paradigm which has gained a great significance due to its widespread applicability in diverse fields. Due to the open nature of communication and control, the IoT network is more susceptible to several security threats. Hence the IoT network requires a trust aware mechanism which can identify and isolate the malicious nodes. Trust Sensing has been playing a significant role in dealing with security issue in IoT. A novel a Light Weight Clustered Trust Sensing (LWCTS) model is developed which ensures a secured and qualitative data transmission in the IoT network. Simulation experiments are conducted over the proposed model and the performance is compared with existing models. The obtained results prove the effectiveness when compared with existing approaches.
Rocznik
Tom
Strony
5--12
Opis fizyczny
Bibliogr. 22 poz., tab., wykr.
Twórcy
autor
- Vidya Jyothi Institute of Technology, India
autor
- Chaitanya Bharathi Institute of Technology, India
Bibliografia
- [1] Qiu T., Liu X., Li K., et al, “Community-aware data propagation with small world feature for internet of vehicles”, IEEE Communication Magazine 56(1), 86–91, 2018. http://doi.org/10.1109/MCOM.2018.1700511
- [2] Liu X., Li K., Guo S., et al, “Top-k queries for categorized RFID systems”, IEEE ACM T Network, 25(5), 2587–2600, 2017. http://doi.org/10.1109/TNET.2017.2722480
- [3] Atzori L., Iera A. and Morabito G., “The Internet of Things: a survey”, ComputNetw, 54(15), 2787–2805, 2010. http://doi.org/10.1016/j.comnet.2010.05.010
- [4] Raja S. P., Rajkumar T. D., and Raj V. P., “Internet of Things: challenges, issues and applications”, J Circuit Syst Comp, 27(12), 1830007, 2018. http://doi.org/10.1142/S0218126618300076
- [5] Liang Y., Cai Z., Yu J., et al, “Deep learning based inference of private information using embedded sensors in smart devices”, IEEE Netw Mag, 32, 8–14, 2018. http://doi.org/10.1109/MNET.2018.1700349
- [6] K.-D. Chang and J.-L. Chen, “A survey of trust management in WSNs, internet of things and future internet,” KSII Transactions on Internet and Information Systems, vol. 6, no. 1, pp. 5–23, 2012. http://doi.org/10.3837/tiis.2012.01.001
- [7] Z. Yan, P. Zhang, and A. V. Vasilakos, “A survey on trust management for Internet of Things,” Journal of Network and Computer Applications, vol. 42, pp. 120–134, 2014. https://doi.org/10.1016/j.jnca.2014.01.014
- [8] D. Chen, G. Chang, D. Sun, J. Li, J. Jia, and X. Wang, “TRM-IoT: A trust management model based on fuzzy reputation for internet of things”, Computer Science and Information Systems, Vol. 8, No. 4, pp. 1207-1228, 2011. https://doi.org/10.2298/CSIS110303056C
- [9] F. Bao and I.-R. Chen, “Dynamic trust management for internet of things applications”, In: Proc. of international workshop on Self-aware internet of things, California, USA, pp. 1-6, 2012. https://doi.org/10.1145/2378023.2378025
- [10] Atzori, L., Iera, A., Morabito, G., Nitti, M., “The Social Internet of Things (SIoT) - when social networks meet the Internet of Things: concept, architecture and network characterization”, Comput. Netw, 56(16), 3594– 3608, 2012. https://doi.org/10.1016/j.comnet.2012.07.010
- [11] Nitti, M., Girau, R., Atzori, L., “Trustworthiness management in the Social Internet of Things”, IEEE Trans. Knowl. Data Eng, 26(5), 1253–1266, 2014. https://doi.org/10.1109/TKDE.2013.105
- [12] Kokoris Kogias E., Voutyras O., Varvarigou T., “TRM-SIoT: A scalable hybrid trust & reputation model for the social internet of things”, In: 2016 IEEE 21st international conference on emerging technologies and factory automation (ETFA), 1–9, 2016. https://doi.org/10.1109/ETFA.2016.7733612
- [13] Bernabe, J. B., Ramos, J. L. H., Gomez, A.F.S., “TAC-IoT: multidimensional trust aware access control system for the Internet of Things”, Soft Comput. 20(5), 1–17, 2016.
- [14] Fangyu Gai, Jiexin Zhang, Peidong Zhu, and Xinwen Jiang, “Multidimensional Trust-Based Anomaly Detection System in Internet of Things”, Springer International Publishing, pp. 302–313, 2017 https://doi.org/10.1007/978-3-319-60033-8_27
- [15] H. Xia, Z. Jia, L. Ju, Y. Zhu, Trust management model for mobile ad hoc network based on analytic hierarchy process and fuzzy theory, IET Wireless Sensor Systems 1 (4), 248–266, 2011. https://doi.org/10.1049/iet-wss.2011.0042
- [16] P. K. Reddy, R.S. Babu, “An Evolutionary Secure Energy Efficient Routing Protocol in Internet of Things”, International Journal of Intelligent Engineering and Systems, Vol. 10, No. 3, pp. 337-346, 2017. https://doi.org/10.22266/ijies2017.0630.38
- [17] Rajagopal, A., “Soft computing based cluster head selection in wireless sensor network using bacterial foraging algorithm”, Int. J. Electron. Commun. Eng. 9(3), 379-384, 2015.
- [18] Reena Varghese, Dr. T. Chithralekha, Carynthia Kharkongor, “Self-organized Cluster Based Energy efficient Meta Trust model for Internet of Things”, 2nd IEEE International Conference on Engineering and Technology (ICETECH), Coimbatore, India, 2016.
- [19] Mohammad Dahman Alshehri, Farookh Khadeer Hussain, Omar Khadeer Hussain, “Clustering-Driven Intelligent Trust Management Methodology for the Internet of Things (CITM-IoT)”, Mobile Networks and Applications, Volume 23 Issue 3, pp. 419-431, June 2018. https://doi.org/10.1007/s11036-018-1017-z
- [20] Sowmya. G., and Venkatram. N., “Multi-Context Trust Aware Routing for Internet of Things”, International Journal of Intelligent Engineering and Systems, Vol. 12, No. 1, 2019, pp. 189-200.
- [21] L. Qin and T. Kunz, “Mobility metrics to enable adaptive routing inMANETs,” in Proc. IEEE Int. Conf. Wireless Mobile Comput. Netw. Commun., pp. 1-8, 2006. https://doi.org/10.1109/WIMOB.2006.1696350
- [22] P. Samar and S. B. Wicker, “On the behavior of communication links of a node in a multi-hop mobile environment,” in Proc. 5th ACM Int. Symp. Mobile Ad Hoc Netw. Comput., pp. 145-156, 2004. https://doi.org/10.1145/989459.989478
Typ dokumentu
Bibliografia
Identyfikator YADDA
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