Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Gerard Memmi"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 1, Pp 158-167 (2024)
The proliferation of internet communication channels has increased telecom fraud, causing billions of euros in losses for customers and the industry each year. Fraudsters constantly find new ways to engage in illegal activity on the network. To reduc
Externí odkaz:
https://doaj.org/article/8e33b03e1c4d452dba28c6d330e2b350
Publikováno v:
IEEE Internet of Things Journal. 10:6794-6802
Publikováno v:
Digital Communications and Networks.
Publikováno v:
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC).
Publikováno v:
IEEE Transactions on Cloud Computing. 9:1293-1304
Protection on end users' data stored in Cloud servers becomes an important issue in today's Cloud environments. In this paper, we present a novel data protection method combining Selective Encryption (SE) concept with fragmentation and dispersion on
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, 2020
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2020, pp.1-10. ⟨10.1109/TITS.2020.3032882⟩
IEEE Transactions on Intelligent Transportation Systems, 2020
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2020, pp.1-10. ⟨10.1109/TITS.2020.3032882⟩
With the development of modern Intelligent Transportation System (ITS), reliable and efficient transportation information sharing becomes more and more important. Although there are promising wireless communication schemes such as Vehicle-to-Everythi
Publikováno v:
IEEE Internet of Things Journal. 8:3180-3188
The rapid development of deep learning (DL) enables resource-constrained systems and devices [e.g., Internet of Things (IoT)] to perform sophisticated artificial intelligence (AI) applications. However, AI models, such as deep neural networks (DNNs),
Autor:
Katarzyna Kapusta, Gerard Memmi
Publikováno v:
Proceedings of the 19th International Conference on Security and Cryptography.
Publikováno v:
IEEE Internet of Things Journal
IEEE Internet of Things Journal, 2021, 8 (13), pp.10327-10335. ⟨10.1109/JIOT.2020.3048038⟩
IEEE Internet of Things Journal, 2021, 8 (13), pp.10327-10335. ⟨10.1109/JIOT.2020.3048038⟩
Deep learning (DL) has gained popularity in network intrusion detection, due to its strong capability of recognizing subtle differences between normal and malicious network activities. Although a variety of methods have been designed to leverage DL m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efa0573a9cb516792b6f7b41326da5a7
https://telecom-paris.hal.science/hal-03559698
https://telecom-paris.hal.science/hal-03559698
Publikováno v:
IEEE ICBC
We evaluate and analyze the performance of a local electricity market for energy trading that we implemented on the Ethereum platform. The energy trading is based on a double auction with multiple sellers and multiple buyers; the matched price and vo