Book ChapterDOI
Distributed Collaborative Anomaly Detection for Trusted Digital Twin Vehicular Edge Networks.
Jiawen Liu,Shuaipeng Zhang,Hong Liu,Yan Zhang +3 more
- pp 378-389
Reads0
Chats0
TLDR
In this article, a digital twin vehicular edge network (DITVEN) is proposed to solve the time-space limitation of edge computing, which prevents the vehicle data from being fully utilized, and a distributed trust evaluation is established based on the trust chain transitivity and aggregation for edge computing units and digital twins to ensure the credibility of digital twins.Abstract:
The vehicular networks are vulnerable to cyber security attacks due to the vehicles’ large attack surface. Anomaly detection is an effective means to deal with this kind of attack. Due to the vehicle’s limited computation resources, the vehicular edge network (VEN) has been proposed provide additional computing power while meeting the demand of low latency. However, the time-space limitation of edge computing prevents the vehicle data from being fully utilized. To solve this problem, a digital twin vehicular edge networks (DITVEN) is proposed. The distributed trust evaluation is established based on the trust chain transitivity and aggregation for edge computing units and digital twins to ensure the credibility of digital twins. The local reachability density and outlier factor are introduced for the time awareness anomaly detection. The curl and divergence based elements are utilized to achieve the space awareness anomaly detection. The mutual trust evaluation and anomaly detection is implemented for performance analysis, which indicates that the proposed scheme is suitable for digital twin vehicular applications.read more
Citations
More filters
Journal ArticleDOI
COPP-DDPG: Computation Offloading with Privacy Preservation in a Vehicular Edge Network
TL;DR: In this article , a cooperative optimization for privacy-preserving and priority-aware offloading and resource allocation in VEC network (VECN) based on deep reinforcement learning (DRL) is proposed.
References
More filters
Proceedings ArticleDOI
Mitigating routing misbehavior in mobile ad hoc networks
TL;DR: Two techniques that improve throughput in an ad hoc network in the presence of nodes that agree to forward packets but fail to do so are described, using a watchdog that identifies misbehaving nodes and a pathrater that helps routing protocols avoid these nodes.
Journal ArticleDOI
Edge Intelligence and Blockchain Empowered 5G Beyond for the Industrial Internet of Things
TL;DR: An edge intelligence and blockchain empowered IIoT framework is presented, which achieves flexible and secure edge service management and a cross-domain sharing inspired edge resource scheduling scheme and a credit-differentiated edge transaction approval mechanism are proposed.
Journal ArticleDOI
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
TL;DR: This article considers a new architecture of digital twin (DT) empowered Industrial IoT, where DTs capture the characteristics of industrial devices to assist federated learning, and adaptively adjusts the aggregation frequency of federatedlearning based on Lyapunov dynamic deficit queue and deep reinforcement learning.
Journal ArticleDOI
Framework to support the aircraft digital counterpart concept with an industrial design view
TL;DR: This paper is a starting point in the definition of a framework, based on a commercial software system, to facilitate the biunivocal relation between a physical individual aircraft, identified by means of a 'manufacturing serial number' (MSN), and its equivalent digital counterpart.
Proceedings ArticleDOI
Digital twin for propulsion drive of autonomous electric vehicle
TL;DR: The goal of the paper is to specify tasks required for a specialized unsupervised prognosis and control platform for energy system performance estimation.