Trust Establishment in Cooperating Cyber-Physical Systems

Rein, Andre; Rieke, Roland; Jäger, Michael; Kuntze, Nicolai; Coppolino, Luigi

doi:10.1007/978-3-319-40385-4_3

Cited by 10 publications

(3 citation statements)

References 26 publications

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“…For secure communication of sensors in CPS with fog server through gateway or communication module, both symmetric and asymmetric key cryptography [18,19] were recently used. The proposed smart grid authentication scheme improves security between sensors and servers and uses trusted computing and event reporting for authentication in critical infrastructure.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Lightweight Attribute-Based Security Scheme for Fog-Enabled Cyber-Physical Systems

Lachure

Doriya

2022

Preprint

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A Cyber-Physical System (CPS) combines resources from both physical and cyberspace. A typical CPS system is like a Water Distribution System (WDS) composed of different sensors, actuators, logical programming controllers, and grid systems. Cloud computing provides on-demand computing services and data, but suffers from latency and security issues between devices. The devices in CPS are power-constrained and perform real-time operations; therefore, authentication of these devices is crucial for ensuring secure communication between the instruments and control room. The lightweight Elliptical Curve Cryptography (ECC) helps to provide authentication between the device and fog-enabled controller rooms. The proposed Hybrid Lightweight Attribute-Based Security Scheme helps to provide authentication and signature verification with significantly less computational and communication overhead. Thus, the model helps to save energy and works in real-time. The model is also tested with a different brain-pool curve list to determine which curve list performs better and faster.

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Section: Related Workmentioning

confidence: 99%

Hybrid Lightweight Attribute-Based Security Scheme for Fog-Enabled Cyber-Physical Systems

Lachure

Doriya

2022

Preprint

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“…al [15] proposed a trust model based on Grey-Markov chain Rein et. al [23] proposed the concept of trust establishment in a cooperative cyber physical system. The proposed model employs trusted computing and trusted event reporting to verify the authenticity of security related events in critical infrastructures.…”

Section: Related Workmentioning

confidence: 99%

Trustee: A Trust Management System for Fog-Enabled Cyber Physical Systems

Junejo

Komninos

Sathiyanarayanan

et al. 2021

IEEE Trans. Emerg. Topics Comput.

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In this paper, we propose a lightweight trust management system (TMS) for fog-enabled cyber physical systems (Fog-CPS). Trust computation is based on multi-factor and multi-dimensional parameters, and formulated as a statistical regression problem which is solved by employing random forest regression model. Additionally, as the Fog-CPS systems could be deployed in open and unprotected environments, the CPS devices and fog nodes are vulnerable to numerous attacks namely, collusion, self-promotion, badmouthing, ballot-stuffing, and opportunistic service. The compromised entities can impact the accuracy of trust computation model by increasing/decreasing the trust of other nodes. These challenges are addressed by designing a generic trust credibility model which can countermeasures the compromise of both CPS devices and fog nodes. The credibility of each newly computed trust value is evaluated and subsequently adjusted by correlating it with a standard deviation threshold. The standard deviation is quantified by computing the trust in two configurations of hostile environments and subsequently comparing it with the trust value in a legitimate/normal environment. Our results demonstrate that credibility model successfully countermeasures the malicious behaviour of all Fog-CPS entities i.e. CPS devices and fog nodes. The multi-factor trust assessment and credibility evaluation enable accurate and precise trust computation and guarantee a dependable Fog-CPS system.

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“…Wireless sensor networks (WSNs) are used by collaborative computational entities in CPS to interface directly with hardware. The internet of things (IoT) is frequently characterized as a network of interconnected systems that communicate with one another and with people [3]. Actuation and sensing interact via the physical environment and between sensors and actuators via a node (node), many (i.e., distributed) computers, or intelligent control to produce the desired outcome or steady-state [4].…”

Section: Introductionmentioning

confidence: 99%

Smarter dam based on cyber-physical system utilizing Raspberry Pi4 and NodeMCU ESP8266

Deab

Croock

2022

Bulletin EEI

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The majority of dams still use traditional technologies to manage water gates. These strategies have a number of limitations, including those related to human error. This study describes an automated method for controlling and managing dams based on the structure of a cyber-physical system (CPS) in order to reduce work hazards and human efforts. The suggested system design consists of four ESP8266 nodes, each connected to a water level sensor and distributed around the main dam and its feeder sections. These nodes are linked to a central server (Raspberry Pi4). The data is gathered and retransmitted through the message queuing telemetry transfer (MQTT) protocol to the (Raspberry Pi4) central server via wireless sensor nodes (WSNs) distributed on the dam's various sides to regulate the water levels in the dam's main reservoir and the areas it feeds. Furthermore, the Raspberry Pi4 transmits data to the cloud server using internet media. A cloud-based dashboard with numerous tabs for each node has been constructed. The results of the experiments reveal that the proposed technique is superior to the ones currently in use for dam management.

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Trust Establishment in Cooperating Cyber-Physical Systems

Cited by 10 publications

References 26 publications

Hybrid Lightweight Attribute-Based Security Scheme for Fog-Enabled Cyber-Physical Systems

Hybrid Lightweight Attribute-Based Security Scheme for Fog-Enabled Cyber-Physical Systems

Trustee: A Trust Management System for Fog-Enabled Cyber Physical Systems

Smarter dam based on cyber-physical system utilizing Raspberry Pi4 and NodeMCU ESP8266

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