SRST: A secure and resilient synchronization of time for WSNs in IoT applications

IF 4.4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Amin Saiah , Chafika Benzaid , Mohamed Younis , Nadjib Badache
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引用次数: 0

Abstract

Many applications of Wireless Sensor Networks (WSNs) in internet of things require accurate time synchronization for the successful realization. In a hostile environment, protecting time synchronization against faulty timestamps injection attacks is paramount. Malicious nodes (MNs) could broadcast faulty timestamps to decrease the accuracy of the whole network. The Receiver-Only (RO)-based synchronization methodology achieves high accuracy while reducing the number of timing messages compared to other methodologies. However, RO is vulnerable to node failure and supports only a single reference, which makes it inaccurate in the presence of MNs. To address these limitations, we propose SRST, a secure and resilient synchronization of time for WSNs. SRST employs a novel time synchronization model that extends RO to allow synchronizing sensor nodes to multiple mutually-synchronized references, which enhances robustness against node failure and malicious behavior. SRST optimizes convergence time by synchronizing the RO node with its synchronized 1-hop and 2-hop neighbors. RO node applies a new delay threshold-based detection technique to identify reference nodes as MNs through detection of faulty timestamps. SRST is topology-independent and can be applied to multi-tier, cluster-based and flat topologies. We validated SRST through simulations and prototype experiments, comparing its performance with several state-of-the-art protocols. The results demonstrate that SRST outperforms existing protocols in accuracy, achieving synchronization within less than 1μs, and accelerates convergence time by a factor of 31.25 compared to the best-known protocol. SRST has also been shown to be more effective in mitigating faulty timestamp injection attacks, successfully detecting errors of 6μs with a 100% success rate and ensuring that the clocks of any two nodes do not deviate by more than 6μs. Furthermore, the results indicate that SRST imposes little communication overhead.
SRST:物联网应用中wsn的安全和弹性时间同步
无线传感器网络(WSNs)在物联网中的许多应用都需要精确的时间同步才能成功实现。在恶劣的环境中,保护时间同步免受错误时间戳注入攻击是至关重要的。恶意节点可能会广播错误的时间戳,从而降低整个网络的准确性。与其他方法相比,基于Receiver-Only (RO)的同步方法在减少计时消息数量的同时实现了高精度。然而,RO容易受到节点故障的影响,并且只支持单个引用,这使得它在存在mn时不准确。为了解决这些限制,我们提出了SRST,一种用于wsn的安全且有弹性的时间同步。SRST采用了一种新的时间同步模型,该模型扩展了RO,允许将传感器节点同步到多个相互同步的引用,从而增强了对节点故障和恶意行为的鲁棒性。SRST通过同步RO节点与同步的1跳和2跳邻居来优化收敛时间。RO节点采用一种新的基于延迟阈值的检测技术,通过检测错误的时间戳来识别参考节点为MNs。SRST与拓扑无关,可以应用于多层、基于集群和平面拓扑。我们通过模拟和原型实验验证了SRST,并将其性能与几种最先进的协议进行了比较。结果表明,SRST在精度上优于现有协议,在小于1μs的时间内实现同步,收敛时间比现有协议加快了31.25倍。SRST在减少错误时间戳注入攻击方面也被证明是更有效的,它能够以100%的成功率成功检测到6μs的错误,并确保任意两个节点的时钟偏差不超过6μs。此外,结果表明SRST带来的通信开销很小。
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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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