基于跨层和模糊逻辑的车载自组织网络Sybil攻击检测改进

Q4 Engineering
Mohamadreza Karimi, Rasool Sadeghi
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引用次数: 1

摘要

目前,车辆自组织网络(VANETs)由于其独特的改善道路安全的能力而非常流行和广泛使用。因此,这些网络的安全问题显得尤为重要,已成为信息交换等科学研究领域的中心课题之一。网络攻击是Ad-Hoc网络安全面临的挑战之一。本文采用跨层方法和模糊逻辑方法对Sybil攻击进行检测。所提出的模糊逻辑方法有来自不同OSI层的四个输入:进入网络的时间、邻居的数量、缓冲区大小和信噪比。将这些输入导入到模糊逻辑方法的多个隶属函数中,仿真结果表明该方法为Sybil攻击检测提供了一种鲁棒性技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement of Sybil Attack Detection in Vehicular Ad-Hoc Networks Using Cross-layer and Fuzzy Logic
Nowadays Vehicular Ad-Hoc Networks (VANETs) are very popular and significantly used, due to their unique abilities to improve road safety. As a consequence, the security of these networks is of great importance and it has become one of the central topics in scientific and research fields such as information exchange. Sybil attack is one of the challenges for Ad-Hoc networks security. In this paper, a cross-layer approach and fuzzy logic method are used to detect the Sybil attacks. The proposed fuzzy logic method has four inputs form different OSI layers: entry time to the network, a number of neighbors, buffer size and signal to noise ratio. These inputs are imported to several membership functions of the fuzzy logic methods and the simulation results indicate that the proposed solution provides a robust technique in Sybil attack detection.
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来源期刊
Majlesi Journal of Electrical Engineering
Majlesi Journal of Electrical Engineering Engineering-Electrical and Electronic Engineering
CiteScore
1.20
自引率
0.00%
发文量
9
期刊介绍: The scope of Majlesi Journal of Electrcial Engineering (MJEE) is ranging from mathematical foundation to practical engineering design in all areas of electrical engineering. The editorial board is international and original unpublished papers are welcome from throughout the world. The journal is devoted primarily to research papers, but very high quality survey and tutorial papers are also published. There is no publication charge for the authors.
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