| Title |
Applying an Enhanced Elliptic Curve Integrated Encryption Scheme ECIES to Enhance Smart Energy IoT Platform Security Based on Constrained Protocol |
| ID_Doc |
43132 |
| Authors |
Ech-Chkaf, A; Oussous, SA; El Allali, A; Beloualid, S; El Harrouti, T; El Aidi, S; Bajit, A; Chaoui, H; Tamtoui, A |
| Title |
Applying an Enhanced Elliptic Curve Integrated Encryption Scheme ECIES to Enhance Smart Energy IoT Platform Security Based on Constrained Protocol |
| Year |
2022 |
| Published |
|
| DOI |
10.1007/978-3-030-98741-1_41 |
| 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. |
| Author Keywords |
IoT Smart energy platform; CoAP IoT protocol; STAR; TREE; MESH; CLUSTER topologies; AES-SHA256; RSA-SHA256; EEECC; ECIES security protocols |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000783765200041 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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