NOTRINO: A NOvel Hybrid TRust Management Scheme for INternet-of-Vehicles
NOTRINO: A NOvel Hybrid TRust Management Scheme for INternet-of-Vehicles
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NOTRINO：一种新的车联网混合信任管理方案
DOI：
10.1109/tvt.2021.3049189
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发表时间：
2021-09-01
影响因子：
6.8
通讯作者：
Liu, Lu
中科院分区：
文献类型：
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作者：
Ahmad, Farhan;Kurugollu, Fatih;Liu, Lu
车联网(IoV)是一种新型技术，通过使智能车辆能够相互通信和共享敏感信息来确保安全可靠的交通。然而，IoV在现实生活中的实现取决于几个因素，包括确保免受攻击者的安全以及在网络中传播真实、准确和可信的信息。此外，必须检测到泄露信息的传播，并且必须将传播此类恶意消息的车辆从网络中删除。为此，可以在网络中集成信任以检测所接收信息的可信性。然而，文献中的大多数信任模型依赖于在应用层评估节点或数据。在本研究中，我们提出了一种新的混合式信任管理方案，即NOTRINO，它分两步对接收到的信息进行可信性评估。第一步在传输层评估节点本身的可信性，第二步在应用层计算数据的可信性。该机制使车辆能够有效地对接收到的信息进行建模和可信性评估。NOTRINO的性能和准确性在各种现实的信任评估标准(包括精确度、召回率、F-MEASURE和信任)下进行了严格的评估。此外，在恶意节点存在的情况下对NOTRINO的效率进行了评估，并以三种混合信任模型为基准对其性能进行了基准测试。大量的模拟实验表明，当网络中有35%的恶意节点时，NOTRINO的信任度超过75%，而基准信任模型的信任度低于60%。同样，对于同一网络，NOTRINO同时实现了92%的准确率和87%的召回率，而基准信任模型的准确率和召回率分别低于87%和85%。
Internet-of-Vehicles (IoV) is a novel technology to ensure safe and secure transportation by enabling smart vehicles to communicate and share sensitive information with each other. However, the realization of IoV in real-life depends on several factors, including the assurance of security from attackers and propagation of authentic, accurate and trusted information within the network. Further, the dissemination of compromised information must be detected and vehicle disseminating such malicious messages must be revoked from the network. To this end, trust can be integrated within the network to detect the trustworthiness of the received information. However, most of the trust models in the literature relies on evaluating node or data at the application layer. In this study, we propose a novel hybrid trust management scheme, namely, NOTRINO, which evaluates trustworthiness on the received information in two steps. First step evaluates trust on the node itself at transport layer, while second step computes trustworthiness of the data at application layer. This mechanism enables the vehicles to efficiently model and evaluate the trustworthiness on the received information. The performance and accuracy of NOTRINO is rigorously evaluated under various realistic trust evaluation criteria (including precision, recall, F-measure and trust). Furthermore, the efficiency of NOTRINO is evaluated in presence of malicious nodes and its performance is benchmarked against three hybrid trust models. Extensive simulations indicate that NOTRINO achieve over 75% trust level as compared to benchmarked trust models where trust level falls below 60% for a network with 35% malicious nodes. Similarly, 92% precision and 87% recall are achieved simultaneously with NOTRINO for the same network, comparing to benchmark trust models where precision and recall falls below 87% and 85% respectively.