Privacy Engineering for the Smart Micro-Grid

Pal, Ranjan; Hui, Pan; Prasanna, Viktor K.

doi:10.1109/tkde.2018.2846640

Cited by 11 publications

(3 citation statements)

References 48 publications

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“…Their simulation results highlighted the fact that their approach optimized the efficiency value and reported fine-grained accuracy and results while eliminating the need of a trusted third party. Pal et al proposed HIDE, a computationally efficient, and rigorous information-theoretic privacy engineering framework to tackle the privacy-utility trade-off of DP approaches in perspective of SGs through the use of queries, greedy algorithm, Markov assumption model and Laplace noise for differential privacy [173]. On the other hand, Xiong et al introduced PADC, a light weight, secure and private data clustering technique for SGs based on DP and k -means algorithm [174].…”

Section: Load Monitoringmentioning

confidence: 99%

Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey

et al. 2021

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The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead to its adoption in critical infrastructure. However, the multitude of benefits that are derived from the IoT paradigm are short-lived due to the exponential rise in the associated security and privacy threats. Adversaries carry out privacy-oriented attacks to gain access to the sensitive and confidential data of critical infrastructure for various self-centered, political and commercial gains. In the past, researchers have employed several privacy preservation approaches including cryptographic encryption and k-anonymity to secure IoT-enabled critical infrastructure. However, for various reasons, those proposed solutions are not well suited for modern IoT-enabled critical infrastructure. Therefore, Dwork's differential privacy has emerged as the most viable privacy preservation strategy for IoT-enabled critical infrastructure. This paper provides a comprehensive and extensive survey of the application and implementation of differential privacy in four major application domains of IoT-enabled critical infrastructure: Smart Grids (SGs), Intelligent Transport Systems (ITSs), healthcare and medical systems, and Industrial Internet of Things (IIoT). Finally, we discuss some promising future research directions in differential privacy for IoT-enabled critical infrastructure.

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Section: Load Monitoringmentioning

confidence: 99%

Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey

et al. 2021

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“…Information Disclosure DS1-DS6 An attacker can deduce the operational status of the microgrid and behavioural characteristics of users leading to privacy violations that can also facilitate further attacks [35].…”

Section: Repudiation Attack All Controllersmentioning

confidence: 99%

“…• Confidentiality: The proposed system needs to protect private/proprietary information exchanged between controllers and smart meters from unauthorised disclosure to third parties. Previous research showed that disclosing this information can facilitate other serious attacks [35]. • Integrity: Controllers involved in the communication process should be able to detect unauthorised modification of control messages to prevent incorrect power control decisions.…”

Section: Security Requirementsmentioning

confidence: 99%

A Low Latency Secure Communication Architecture for Microgrid Control

et al. 2021

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The availability of secure, efficient, and reliable communication systems is critical for the successful deployment and operations of new power systems such as microgrids. These systems provide a platform for implementing intelligent and autonomous algorithms that improve the power control process. However, building a secure communication system for microgrid purposes that is also efficient and reliable remains a challenge. Conventional security mechanisms introduce extra processing steps that affect performance by increasing the latency of microgrid communication beyond acceptable limits. They also do not scale well and can impact the reliability of power operations as the size of a microgrid grows. This paper proposes a low latency secure communication architecture for control operations in an islanded IoT-based microgrid that solves these problems. The architecture provides a secure platform that optimises the standard CoAP/DTLS implementation to reduce communication latency. It also introduces a traffic scheduler component that uses a fixed priority preemptive algorithm to ensure reliability as the microgrid scales up. The architecture is implemented on a lab-scale IoT-based microgrid prototype to test for performance and security. Results show that the proposed architecture can mitigate the main security threats and provide security services necessary for power control operations with minimal latency performance. Compared to other implementations using existing secure IoT protocols, our secure architecture was the only one to satisfy and maintain the recommended latency requirements for power control operations, i.e., 100 ms under all conditions.

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