RT Journal Article
T1 TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud
A1 Aladwan, Mohammad Naser Ahmad
A1 Awaysheh, Feras Mahmoud Naji
A1 Alawadi, Sadi
A1 Fernández Pena, Anselmo Tomás
A1 Cabaleiro Domínguez, José Carlos
K1 Decision-making (DM)
K1 Industrial connected vehicles (CVs)
K1 Industrial Internet of Things (IIoT)
K1 Security analysis
K1 Security by design
K1 Vehicular clouds (VCs)
AB The integration between cloud computing and vehicular ad hoc networks, namely, vehicular clouds (VCs), has become a significant research area. This integration was proposed to accelerate the adoption of intelligent transportation systems. The trustworthiness in VCs is expected to carry more computing capabilities that manage large-scale collected data. This trend requires a security evaluation framework that ensures data privacy protection, integrity of information, and availability of resources. To the best of our knowledge, this is the first study that proposes a robust trustworthiness evaluation of vehicular cloud for security criteria evaluation and selection. This article proposes three-level security features in order to develop effectiveness and trustworthiness in VCs. To assess and evaluate these security features, our evaluation framework consists of three main interconnected components: 1) an aggregation of the security evaluation values of the security criteria for each level; 2) a fuzzy multicriteria decision-making algorithm; and 3) a simple additive weight associated with the importance-performance analysis and performance rate to visualize the framework findings. The evaluation results of the security criteria based on the average performance rate and global weight suggest that data residency, data privacy, and data ownership are the most pressing challenges in assessing data protection in a VC environment. Overall, this article paves the way for a secure VC using an evaluation of effective security features and underscores directions and challenges facing the VC community. This article sheds light on the importance of security by design, emphasizing multiple layers of security when implementing industrial VCs
PB IEEE
SN 1551-3203
YR 2020
FD 2020
LK http://hdl.handle.net/10347/24670
UL http://hdl.handle.net/10347/24670
LA eng
NO Mohammad N. Aladwan, Feras M. Awaysheh, Sadi Alawadi, Mamoun Alazab, Tomás F. Pena and José C. Cabaleiro (2020) TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud. IEEE Transactions on industrial informatics, 16 (9), 6203 - 6213. Doi: 10.1109/TII.2020.2966288
NO This work was supported in part by the Ministry of Education, Culture, and Sport, Government of Spain under Grant TIN2016-76373-P, in part by the Xunta de Galicia Accreditation 2016–2019 under Grant ED431G/08 and Grant ED431C 2018/2019, and in part by the European Union under the European Regional Development Fund
DS Minerva
RD 24 abr 2026