基于DSR的自组织网络中自私节点的上下文感知检测

K. Paul, D. Westhoff
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引用次数: 32

摘要

在基于民用合作的自组织网络中,可能存在一些复杂的攻击,这些攻击的动机是节点的自私和资源节约性质。基于分布式评级模型的惩罚有助于阻止自私节点执行这些攻击。即使检测到攻击者,在ad-hoc网络的动态环境中也很难对被攻击的节点进行收费。本文检测了大范围的针对动态源路由(DSR)协议的攻击和攻击发起者。我们提供了一种机制来通知系统的其他节点关于被告,提供了一个上下文感知的推理方案来指责被告和恶意原告毫无疑问。我们以最小的DSR扩展和成本效益的方式实现了这一目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context aware detection of selfish nodes in DSR based ad-hoc networks
There can be several sophisticated attacks motivated by selfish, resource saving nature of nodes in a civilian co-operation based ad-hoc network. Distributed rating model based castigation can be useful to discourage selfish nodes from performing these attacks. Even if an attacker is detected, it is hard to charge an accused node in a dynamic environment of an ad-hoc network. In this paper we detect a large range of attacks on dynamic source routing (DSR) protocol and the originator of the attack. We provide a mechanism to inform other nodes of the system about the accused, provide a context aware inference scheme to blame the accused and malicious accuser without doubt. We achieve this with minimal extension of DSR and in a cost effective manner.
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