iTRPL:基于多代理强化学习的智能可信 RPL 协议

IF 4.4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Debasmita Dey, Nirnay Ghosh
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引用次数: 0

摘要

低功耗和低损耗网络路由协议(RPL)是物联网网络中事实上的路由标准。它使节点能够协作并自主构建以树状面向目的地的直接非循环图(DODAG)为模型的 ad-hoc 网络。尽管 RPL 在工业和医疗保健领域得到广泛应用,但它很容易受到内部攻击。尽管最先进的 RPL 可确保只有经过验证的节点才能参与 DODAG,但这种硬性安全措施仍不足以防止内部威胁。这就需要整合软安全机制来支持决策。本文提出的 iTRPL 是一种基于行为的智能框架,它结合了信任来隔离 DODAG 中的诚实节点和恶意节点。它还利用多代理强化学习(MARL)做出有关 DODAG 的自主决策。该框架使父节点能够计算其子节点的信任度,并决定后者是否可以加入 DODAG。父节点跟踪子节点的行为,更新信任度,计算奖励(或惩罚),并与根节点共享。根节点汇总所有节点的奖励/惩罚,计算总回报,并通过其ϵ-贪婪 MARL 模块决定未来是否保留或修改 DODAG。基于模拟的性能评估表明,随着时间的推移,iTRPL 能够学会做出最优决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
iTRPL: An intelligent and trusted RPL protocol based on Multi-Agent Reinforcement Learning

Routing Protocol for Low Power and Lossy Networks (RPL) is the de-facto routing standard in IoT networks. It enables nodes to collaborate and autonomously build ad-hoc networks modeled by tree-like destination-oriented direct acyclic graphs (DODAG). Despite its widespread usage in industry and healthcare domains, RPL is susceptible to insider attacks. Although the state-of-the-art RPL ensures that only authenticated nodes participate in DODAG, such hard security measures are still inadequate to prevent insider threats. This entails a need to integrate soft security mechanisms to support decision-making. This paper proposes iTRPL, an intelligent and behavior-based framework that incorporates trust to segregate honest and malicious nodes within a DODAG. It also leverages multi-agent reinforcement learning (MARL) to make autonomous decisions concerning the DODAG. The framework enables a parent node to compute the trust for its child and decide if the latter can join the DODAG. It tracks the behavior of the child node, updates the trust, computes the rewards (or penalties), and shares them with the root. The root aggregates the rewards/penalties of all nodes, computes the overall return, and decides via its ϵ-Greedy MARL module if the DODAG will be retained or modified for the future. A simulation-based performance evaluation demonstrates that iTRPL learns to make optimal decisions with time.

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来源期刊
Ad Hoc Networks
Ad Hoc Networks 工程技术-电信学
CiteScore
10.20
自引率
4.20%
发文量
131
审稿时长
4.8 months
期刊介绍: The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.
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