A secure and dependable trust assessment (SDTS) scheme for industrial communication networks

Abstract

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.

Sorensen Trust Based and Invasive Weed Algorithm Based Wireless Sensor Network Optimization

“…In [10], Khan et al introduce a Secure, Dependable Trust Assessment (SDTS) scheme tailored for industrial WSNs. This scheme employs robust trust evaluation components to detect and counter unexpected behaviors such as on-off attacks and node misbehavior.…”

“…Specifically, N nodes are positioned within an MxM area. In the initial phase of network setup, each node is allocated a certain amount of energy, as referenced in sources [10,11]. Furthermore, fixed spectrum channels are designated to facilitate communication between the nodes.…”

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

“…Instead of focusing solely on cybersecurity or data transmission, we investigate how a sensor can self-monitor and detect sabotage attempts in real time. Furthermore, our proposal uses anomaly detection algorithms optimized to be implemented directly in sensors, overcoming the barrier of computational capacity that limited previous research [27]. By focusing on a use case, we provide a tangible and direct application of our solutions.…”

PathGuard: Trustworthy Routing for Sustainable and Secure IoT-WSN Networks

“…The detection rate and packet delivery ratio of their method's numerical simulations were comparable. The research paper [20] presented a well-structured and inspiring secure, trustable trust evaluation system for manufacturing WSNs to handle unpredicted behavioral patterns such as an on-off invasion, negative attack, garnished attack, etc. by using robust trust evaluation techniques based on node misbehavior and success ratio.…”