Abstract
The smart city is a new urban development idea whose purpose is to improve people’s quality of life while also protecting the environment by utilizing new technologies that rely on an ecosystem of objects and services to make cities more adaptable and efficient. And the Internet of Things (IoT) is at the heart of practically all smart city gadgets and solutions. Data cannot be collected and presented in the different ways required by the city without it. It allows smart city sensors to regulate lighting, water and waste management, sound and air quality sensors, parking management, etc. Real-time data from buildings, streets, and infrastructure can now be actionable and valuable to all parties involved due to the IoT. In our work, we developed an intelligent and secure IoT Smart energy platform to monitor and control energy use in various parts of a smart city, utilizing the CoAP communication protocol to transport data from smart meters to a web server. We also used different topologies such as STAR, TREE, MESH, and CLUSTER to optimize the performance of our platform in terms of execution time and memory consumption, and we evaluated the impact of the ECIES security protocol compared to other security protocols such as AES-SHA256, RSA, and EEECC.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Serban, A.C., Lytras, M.D.: Artificial intelligence for smart renewable energy sector in Europe smart energy infrastructures for next generation smart cities. IEEE Access 8, 77364–77377 (2020). https://doi.org/10.1109/AC-CESS.2020.2990123
Mohammed, T.-H.: Smart city and IoT. Futur. Gener. Comput. Syst. 76, 159–162 (2017). https://doi.org/10.1016/j.future.2017.03.034
Vineetha, C.P., Babu, C.A.: Smart grid challenges, issues and solutions. In: 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1–4 (2014). https://doi.org/10.1109/IGBSG.2014.6835208
Sharma, H., Kaur, G.: Optimization and simulation of smart grid distributed generation: a case study of university campus. In: 2016 IEEE Smart Energy Grid Engineering (SEGE), pp. 153–157 (2016). https://doi.org/10.1109/SEGE.2016.7589517
Bellavista, P., Zanni, A.: Towards better scalability for IoT-cloud interactions via combined exploitation of MQTT and CoAP. In: 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), pp. 1–6 (2016). https://doi.org/10.1109/RTSI.2016.7740614
Kayal, P., Perros, H.: A comparison of IoT application layer protocols through a smart parking implementation. In: 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN), Paris, pp. 331–336 (2017). https://doi.org/10.1109/ICIN.2017.7899436
Pramono, S., Putri, A.O., Warsito, E., Basuki, S.B.: Comparative analysis of star topology and multihop topology outdoor propagation based on Quality of Service (QoS) of wireless sensor network (WSN). In: 2017 IEEE International Conference on Communication, Networks, and Satellite (Comnetsat), pp. 152–157 (2017). https://doi.org/10.1109/COMNETSAT.2017.8263591
Celtek, S.A., Durdu, A., Kurnaz, E.: Design and simulation of the hierarchical tree topology based wireless drone networks. In: 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), pp. 1–5 (2018). https://doi.org/10.1109/IDAP.2018.8620755
Yu, L., Kin-Fai, T., Xiangdong, Q., Ying, L., Xuyang, D.: Wireless Mesh Networks in IoT networks. In: 2017 International Workshop on Electromagnetics: Applications and Student Innovation Competition, pp. 183–185 (2017). https://doi.org/10.1109/iWEM.2017.7968828
Ouadou, M., Zytoune, O., Aboutajdine, D., ElHillali, Y., Menhaj-Rivenq, A.: Improved Cluster-tree topology adapted for indoor environment in Zigbee Sensor Network. Procedia Comput. Sci. 94, 272–279 (2016). https://doi.org/10.1016/j.procs.2016.08.041
Di Matteo, S., Baldanzi, L., Crocetti, L., Nannipieri, P., Fanucci, L., Saponara, S.: Secure elliptic curve crypto-processor for real-time IoT applications. Energies 14(15), 4676 (2021). https://doi.org/10.3390/en14154676
Sadkhan, S.B.: Elliptic curve cryptography- status, challenges, and future trends. In: 2021 7th International Engineering Conference “Research & Innovation amid Global Pandemic” (IEC), pp. 167–171 (2021). https://doi.org/10.1109/IEC52205.2021.9476090
Salim, A., Abbas, A., Abdul, B.M.: Data security for cloud computing based on elliptic curve integrated encryption scheme (ECIES) and modified identity-based cryptography (MIBC). In: International Journal of Applied Information Systems (IJAIS) – ISSN: 2249-0868 Foundation of Computer Science FCS, New York, USA, vol. 10, no.6 (Mar 2016). www.ijais.org
Vinchoo, M.M., Kadam, S.S., Shaikh, I.A., Vora, D., Nayak, D.: Grey Immune: Security in hybrid cloud. In: 2017 International Conference on Intelligent Sustainable Systems (ICISS), pp. 492–495 (2017). https://doi.org/10.1109/ISS1.2017.8389460
Milen, S., Marina, S.: Practical book cryptography for developers. https://cryptobook.nakov.com/
Oh, J., Yu, S., Lee, J., Son, S., Kim, M., Park, Y.: A secure and lightweight authentication protocol for IoT-based smart homes. Sensors 21, 1488 (2021). https://doi.org/10.3390/s21041488
Lara-Nino, C.A., Diaz-Perez, A., Morales-Sandoval, M.: Elliptic curve lightweight cryptography: a survey. IEEE Access 6, 72514–72550 (2018). https://doi.org/10.1109/ACCESS.2018.2881444
Rao, V., Prema, K.V.: Lightweight authentication and data encryption scheme for IoT applications. In: 2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), pp. 12–17 (2020). https://doi.org/10.1109/DISCOVER50404.2020.9278048
Yachou, M., et al.: Applying lightweight elliptic curve cryptography ECC to smart energy IOT platforms based on the CoAP protocol. In: The International Conference on Information, Communication & Cybersecurity (ICI2C 21). https://doi.org/10.1007/978-3-030-91738-8_20
ElAidi, S., Bajit, A., Barodi, A., Chaoui, H., Tamtaoui, A.: An optimized security vehicular Internet of Things-IoT-application layer protocols MQTT and COAP based on crypto- graphic elliptic-curve. In: 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science, ICECOCS 2020, pp. 9314579 (2020)
El Aidi, S., Bajit, A., Barodi, A., Chaoui, H., Tamtaoui, A.: An advanced encryption cryptographically-based securing applicative protocols MQTT and CoAP to optimize medical-IOT supervising platforms. Lect. Notes Data Eng. Commun. Technol. 72, 111–121 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ech-Chkaf, A. et al. (2022). Applying an Enhanced Elliptic Curve Integrated Encryption Scheme ECIES to Enhance Smart Energy IoT Platform Security Based on Constrained Protocol. In: Saeed, F., Mohammed, F., Ghaleb, F. (eds) Advances on Intelligent Informatics and Computing. IRICT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 127. Springer, Cham. https://doi.org/10.1007/978-3-030-98741-1_41
Download citation
DOI: https://doi.org/10.1007/978-3-030-98741-1_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-98740-4
Online ISBN: 978-3-030-98741-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)