Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ranwa Al Mallah"'
Publikováno v:
IEEE Access, Vol 12, Pp 120292-120305 (2024)
Reinforcement Learning (RL) has been responsible for some of the most impressive advances in the field of Artificial Intelligence (AI). Research in competitive RL has shown that multiple agents competing in an adversarial environment can learn simult
Externí odkaz:
https://doaj.org/article/0a9966fcde16480ea1c8b2aa923b4069
Publikováno v:
IEEE Access, Vol 11, Pp 125064-125079 (2023)
Federated Learning (FL) is a paradigm in Machine Learning (ML) that addresses data privacy, security, access rights and access to heterogeneous information issues by training a global model using distributed nodes. Despite its advantages, there is an
Externí odkaz:
https://doaj.org/article/63b70b60f4dd410faef0fc77dee73ddd
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 2, Pp 294-311 (2021)
Use of distributed ledger technologies like blockchain is becoming more common in transportation/mobility ecosystems. However, cyber-security failures may occur at places where the blockchain system connects with the real world. In this paper, we pro
Externí odkaz:
https://doaj.org/article/a35648d281d245a7adef2de107341a7d
Publikováno v:
IEEE Access, Vol 9, Pp 161046-161054 (2021)
In Federated Learning (FL), a group of workers participate to build a global model under the coordination of one node, the chief. Regarding the cybersecurity of FL, some attacks aim at injecting the fabricated local model updates into the system. Som
Externí odkaz:
https://doaj.org/article/a00967a179284b0b9f67e62afa91035e
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems, 18(9), 2435-2442 (2017)
Vehicular Ad-hoc NETworks (VANET) can efficiently detect traffic congestion, but detection is not enough because congestion can be further classified as recurrent and non-recurrent congestion (NRC). In particular, NRC in an urban network is mainly ca
Externí odkaz:
http://arxiv.org/abs/1904.12685
We developed a distributed data mining system to elaborate a decision concerning the cause of urban traffic congestion via emerging connected vehicle (CV) technology. We observe this complex phenomena through the interactions between vehicles exchang
Externí odkaz:
http://arxiv.org/abs/1905.01993
Publikováno v:
2023 International Conference on Computing, Networking and Communications (ICNC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebd58c1c7a1276e8e7dc3d3ac9112563
https://doi.org/10.1109/icnc57223.2023.10074277
https://doi.org/10.1109/icnc57223.2023.10074277
Protecting the Internet of Vehicles Against Advanced Persistent Threats: A Bayesian Stackelberg Game
Publikováno v:
IEEE Transactions on Reliability. 70:970-985
Connected vehicles are essential for the deployment of intelligent transportation services. However, the high level of connectivity in today's Internet of vehicles (IoV) and the extreme reliance on the data collected from the smart transportation inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e58b256aecea065d2ae536107afe6f08
https://doi.org/10.1109/tr.2020.3046688
https://doi.org/10.1109/tr.2020.3046688
Autor:
Ranwa Al Mallah, David Lopez
Federated Learning (FL) is a machine learning technique that addresses the privacy challenges in terms of access rights of local datasets by enabling the training of a model across nodes holding their data samples locally. To achieve decentralized fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c88b9b414f18566576f4089838592a1
http://arxiv.org/abs/2210.02873
http://arxiv.org/abs/2210.02873
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 2, Pp 294-311 (2021)
Use of distributed ledger technologies like blockchain is becoming more common in transportation/mobility ecosystems. However, cyber-security failures may occur at places where the blockchain system connects with the real world. In this paper, we pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a972dbd7d6d8bcbd702f871b08e9deaa
https://ieeexplore.ieee.org/document/9520825/
https://ieeexplore.ieee.org/document/9520825/