Jawaharlal Nehru University, New Delhi, India.
Department of Computer Science and Information Technology, Maulana Azad National Urdu University, Hyderabad, Telangana, India.
Sci Rep. 2023 Feb 2;13(1):1910. doi: 10.1038/s41598-023-28721-x.
Due to tamper-resistant sensor nodes and wireless media, Industrial Wireless Sensor Networks (WSNs) are susceptible to various security threats that severely affect industrial/business applications. The survival of sensor networks is highly dependent on the flourishing collaboration of sensor nodes. Trust management schemes seem to be realistic and promising techniques to improve security as well as cooperation (dependability) among sensor nodes by estimating the trust level (score) of individual sensor nodes. This research paper presents a well-organized and motivating secure, dependable trust assessment (SDTS) scheme for industrial WSNs to cope with unexpected behavior such as an on-off attack, bad-mouthing attack, garnished attack, etc., by employing robust trust evaluation components based on success ratio and node misbehaviour. SDTS incorporates an interesting trust evaluation function in which the trust range can be adjusted in accordance with the application requirement. SDTS include direct communication trust, indirect communication trust, data trust, and misbehavior-based trust to defend the multiple internal attacks. SDTS works according to the behavior of nodes, i.e., whether the sensor nodes are interacting frequently or not. Moreover, abnormal attenuation and dynamic slide lengths are incorporated in the proposed model (SDTS) to deal with various natural calamities and internal attacks. SDTS is compared against three recent state-of-the-art methods and found efficient in terms of ease of trust assessment, false-positive rate (2.5%), false-negative rate (2%), attack detection rate (90%), detection accuracy (91%), average energy consumption (0.40 J), and throughput (108 Kbps) under the load of 500 sensor nodes with 50% malicious nodes. Investigational results exhibit the potency of the proposed scheme.
由于具有防篡改传感器节点和无线媒体，工业无线传感器网络 (WSN) 容易受到各种严重影响工业/商业应用的安全威胁。传感器网络的生存高度依赖于传感器节点的蓬勃协作。信任管理方案似乎是一种切实可行且有前途的技术，可以通过估计单个传感器节点的信任级别（分数）来提高安全性和传感器节点之间的合作（可靠性）。本研究论文提出了一种组织良好且有动机的安全、可靠的信任评估 (SDTS) 方案，用于工业 WSN，以应对意外行为，例如开/关攻击、诽谤攻击、装饰攻击等，方法是基于成功率和节点异常行为使用强大的信任评估组件。SDTS 结合了有趣的信任评估功能，其中信任范围可以根据应用要求进行调整。SDTS 包括直接通信信任、间接通信信任、数据信任和基于异常行为的信任，以防御多种内部攻击。SDTS 根据节点的行为（即传感器节点是否频繁交互）运行。此外，在提出的模型 (SDTS) 中结合了异常衰减和动态滑动长度，以应对各种自然灾害和内部攻击。SDTS 与三种最新的最先进方法进行了比较，结果发现，在 500 个传感器节点的负载下，具有 50%恶意节点时，在信任评估的简便性、误报率（2.5%）、误报率（2%）、攻击检测率（90%）、检测准确率（91%）、平均能耗（0.40 J）和吞吐量（108 Kbps）方面，SDTS 效率更高。调查结果表明了所提出方案的有效性。
