Cooperative and smart attacks detection systems in 6G-enabled Internet of Things
| Autor: | Sedjelmaci, Hichem, Kheir, Nizar, Boudguiga, Aymen, Kaaniche, Nesrine |
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| Přispěvatelé: | Département d'instrumentation Numérique (DIN (CEA-LIST)), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut Polytechnique de Paris (IP Paris), Département Réseaux et Services de Télécommunications (TSP - RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Sécurité et Confiance Numérique (SCN-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP) |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | ICC 2022-IEEE International Conference on Communications IEEE International Conference on Communications(ICC ) IEEE International Conference on Communications(ICC ), May 2022, Seoul, South Korea. pp.5238-5243, ⟨10.1109/ICC45855.2022.9838338⟩ |
| DOI: | 10.1109/icc45855.2022.9838338 |
| Popis: | International audience; The Sixth Generation (6G) of mobile networks offers the promise of a global interconnected system, serving a large set of applications across multiple fields such as satellite, air, ground, and underwater networks. It will evolve towards a unified network compute fabric that facilitates convergence across ecosystems, fostering design and innovation of new Internet of Things (IoT) applications and services, further leading to an exponential growth of IoT use cases in the post-6G era. This profound evolution will also contribute to further evolving the threat landscape, adding new threat actors, and leading to a new set of cyber security challenges. This paper reviews 6G applications and analyzes their evolved security challenges and existing solutions, covering both the network, application and data layers. It introduces a new concept to security monitoring and attack detection in 6G-enabled IoT systems, leveraging on hierarchical and collaborative approaches, while also satisfying the main 6G's Key Performance Indicators (KPIs) such as trustworthiness, latency, connectivity, data rate and energy consumption. The proposed solution implements a multi-level Federated Learning (FL) approach between IoT devices and edge computing applications. As compared to current centralized security monitoring and detection solutions, it better conciliates between the attack detection accuracy and the network overhead for implementing this model. We demonstrate the use of the proposed solution through an example scenario involving an Internet of Vehicles that communicate over a 6G network. |
| Databáze: | OpenAIRE |
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