一种新的MANET攻击分类方法

N. Noureldien
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引用次数: 12

摘要

移动自组网(manet)的脆弱性使其受到大量攻击。为了了解这种攻击的性质和行为,人们提出了许多针对MANET攻击的分类方案和分类法。本文提出了一种针对manet攻击的新分类方法。分类法旨在提供一种对攻击进行分类的一致方法,同时允许将以前的知识应用于新的攻击,并提供一种结构化的方式来查看此类攻击。分类法基于攻击属性。每个攻击都有一个独特的属性值向量,其中每个属性定义了一个特定的攻击属性,该属性可能具有不同的值。分类法使用六个属性;攻击节点的合法性、参与攻击的节点数量、攻击所利用的manet漏洞、攻击节点所利用的网络资源、被攻击对象以及被攻击的网络安全服务。对一些已知攻击的分析表明,所提出的分类法能够将这些攻击描述为分类向量并对其进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel taxonomy of MANET attacks
The vulnerabilities of Mobile Ad hoc Networks (MANETs) make it subject to a large number of attacks. In order to understand the nature and behavior of such attacks, many classification schemes and taxonomies to MANET attacks have been proposed. This paper proposes a new taxonomy to MANETs attacks. The taxonomy is aimed to provide a consistent means of classifying attacks, as well as allowing previous knowledge to be applied to new attacks and providing a structured way to view such attacks. The taxonomy is based on attack attributes. Every attack is characterized by a unique vector of attribute values, where each attribute defines a specific attack property which may have different values. The taxonomy uses six attributes; the legitimacy of attacking node/s, the number of nodes participating in the attack, MANETs vulnerabilities utilized by the attack, the network resources exploited by the attacking node/s, the targeted victim and finally, the network security service compromised by the attack. The analysis of some well known attacks shows the capability of the proposed taxonomy in describing and categorizing these attacks as taxonomy vectors.
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