An adaptive trust system for misbehavior detection in wireless sensor networks

IF 2.1 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Wireless Networks Pub Date : 2024-02-28 DOI:10.1007/s11276-024-03687-4

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Abstract

Trust management has been shown to be an effective technique for protecting networks from malicious nodes and ensuring wireless sensor network (WSN) security. A number of trust systems have been proposed, but most of them are not adaptative to the current state of network security and the intensity of the attacks to which they are subjected, especially in the case of collaborative attacks. They employ fixed trust metrics derived from expert opinion rather than the objective method based on the network’s current security level. Furthermore, they are complex trust systems designed for a specific application with a high attack probability. Thus, even with a low attack rate, they consume a lot of energy. This paper proposes an adaptive trust system that considers both the network’s risk level and the trust values of sensor nodes at the same time. To match the situation in the network, the proposed system employs various trust policies. In risky situations where the WSN environment remains untrustworthy, the proposed system adjusts its trust metrics based on the network attack intensity. When the attacks are eliminated and the misbehavior rate is low, the system switches to an energy efficient policy and adjusts its trust metrics to conserve sensor node energy. Simulation results show that a zero-tolerance policy achieves 95% of the detection rate and conserves 50% of nodes’ energy under the presence of 35% of malicious nodes in the network. Energy efficient policy achieves 90% of detection rate and conserves 95% of nodes’ energy under the existence of 10% of malicious nodes in the network. Normal policy achieves up to 90% of detection rate between 15 and 25% of malicious nodes while conserving 70% and 80% of energy under these percentages.

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用于无线传感器网络不当行为检测的自适应信任系统

摘要信任管理已被证明是保护网络免受恶意节点攻击和确保无线传感器网络（WSN）安全的有效技术。目前已提出了许多信任系统，但其中大多数都不能适应当前的网络安全状况和所受攻击的强度，尤其是在协同攻击的情况下。它们采用的是根据专家意见得出的固定信任指标，而不是基于网络当前安全级别的客观方法。此外，它们是为特定应用设计的复杂信任系统，具有很高的攻击概率。因此，即使攻击率很低，它们也会消耗大量能源。本文提出的自适应信任系统同时考虑了网络的风险等级和传感器节点的信任值。为了与网络中的情况相匹配，该系统采用了多种信任策略。在 WSN 环境仍然不可信的风险情况下，提议的系统会根据网络攻击强度调整其信任指标。当攻击消除且不当行为发生率较低时，系统会切换到节能策略，并调整其信任指标，以节约传感器节点的能量。仿真结果表明，在网络中存在 35% 的恶意节点的情况下，零容忍策略可实现 95% 的检测率，并节省 50% 的节点能量。高能效策略在网络中存在 10% 的恶意节点的情况下，检测率达到 90%，节约了 95% 的节点能量。正常策略在恶意节点比例为 15% 到 25% 之间时，检测率可达到 90%，而在此比例下可节省 70% 到 80% 的能量。

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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来源期刊

Wireless Networks 工程技术-电信学

CiteScore

7.70

自引率

3.30%

发文量

314

审稿时长

5.5 months

期刊介绍： The wireless communication revolution is bringing fundamental changes to data networking, telecommunication, and is making integrated networks a reality. By freeing the user from the cord, personal communications networks, wireless LAN''s, mobile radio networks and cellular systems, harbor the promise of fully distributed mobile computing and communications, any time, anywhere. Focusing on the networking and user aspects of the field, Wireless Networks provides a global forum for archival value contributions documenting these fast growing areas of interest. The journal publishes refereed articles dealing with research, experience and management issues of wireless networks. Its aim is to allow the reader to benefit from experience, problems and solutions described.