当前位置: X-MOL 学术IEEE Wirel. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Reputation Management Scheme for Efficient Malicious Vehicle Identification over 5G Networks
IEEE Wireless Communications ( IF 12.9 ) Pub Date : 2020-06-12 , DOI: 10.1109/mwc.001.1900456
Shen Su , Zhihong Tian , Siyu Liang , Shuang Li , Shasha Du , Nadra Guizani

A reputation management scheme plays a critical role for secure communications in vehicular networks. However, due to the limited wireless communication in the past few years, the existing solutions fail to capture the current high-performance network communication provided by the 5G network. As a result, the attributes of security and efficiency can hardly be satisfied at the same time. In this article, we propose IDES, which provides a centralized reputation management scheme to detect malicious nodes in the vehicular network. To discuss the feasibility of our scheme, we design a practical system structure to which our reputation management scheme could be applied and discuss the possible threat modes to our system. With a self-developed event-based emulator, we evaluate the performance of our IDES under malicious attack. Toward defense against the 3 thread mode attack we discuss, we prove that our scheme could take effect much faster, and outperforms the current decentralized trust management schemes.

中文翻译:

通过5G网络高效识别恶意车辆的信誉管理方案

信誉管理方案对于车载网络中的安全通信起着至关重要的作用。但是,由于过去几年中无线通信的局限性,现有解决方案无法捕获5G网络提供的当前高性能网络通信。结果,几乎不能同时满足安全性和效率的属性。在本文中,我们提出了IDES,它提供了集中式信誉管理方案来检测车载网络中的恶意节点。为了讨论该方案的可行性,我们设计了一种可以应用我们的信誉管理方案的实用系统结构,并讨论了可能对系统造成威胁的模式。借助自行开发的基于事件的仿真器,我们可以评估IDES在恶意攻击下的性能。
更新日期:2020-06-12
down
wechat
bug