A Robust Eco-Routing Protocol against Malicious Data in Vehicular Networks

Pavlos Basaras, L. Maglaras, Dimitrios Katsaros, H. Janicke
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引用次数: 3

Abstract

Vehicular networks have a diverse range of applications that vary from safety, to traffic management and comfort. Vehicular communications (VC) can assist in the ecorouting of vehicles in order to reduce the overall mileage and CO2 emissions by the exchange of data among vehicle-entities. However, the trustworthiness of these data is crucial as false information can heavily affect the performance of applications. Hence, the devising of mechanisms that reassure the integrity of the exchanged data is of utmost importance. In this article we investigate how tweaked information originating from malicious nodes can affect the performance of a real time eco-routing mechanism that uses Dedicated Short Ranged Communications (DSRC), namely Erou Ve. We improve the routing decision mechanism of the original algorithm and also develop and evaluate defense mechanisms that exploit vehicular communications in order to filter out tweaked data. We prove that our proposed mechanisms can restore the performance of the Erou Ve to near its optimal operation and can be used as a basis for protecting other similar traffic management systems.
针对车载网络中恶意数据的鲁棒生态路由协议
车辆网络有各种各样的应用,从安全到交通管理和舒适性。车辆通信(VC)可以通过车辆实体之间的数据交换来帮助车辆的生态规划,以减少总里程和二氧化碳排放。然而,这些数据的可信度是至关重要的,因为虚假信息会严重影响应用程序的性能。因此,设计确保交换数据完整性的机制是至关重要的。在本文中,我们研究了来自恶意节点的调整信息如何影响使用专用短程通信(DSRC)的实时生态路由机制的性能,即Erou Ve。我们改进了原始算法的路由决策机制,并开发和评估了利用车辆通信的防御机制,以过滤掉扭曲的数据。我们证明了我们所提出的机制可以将Erou Ve的性能恢复到接近其最佳运行状态,并且可以作为保护其他类似交通管理系统的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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