How the control over smart meters is lost in the Yan et al. lightweight AKA scheme for smart grids

Shariat, Mahyar; Safkhani, Masoumeh

doi:10.1109/ikt.2017.8258622

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…-Implementing intrusion detection systems to detect and mitigate abnormal network traffic patterns This involves adversaries employing reinforcement learning to dynamically adjust jamming patterns to disrupt communication between smart meters and the central management system. Thereby, causing delay and or unavailability of service [82] Adversarial attacks on smart meters' data -Implementing anomaly detection algorithms to flag unusual readings (regardless of how small the deviation is), for manual inspection and verification [83].…”

Section: Ami Software and Communication Protocol Vulnerabilities [80]...mentioning

confidence: 99%

Privacy and security of advanced metering infrastructure (AMI) data and network: a comprehensive review

Ajiboye,

Agyekum,

Frimpong

2024

J. Eng. Appl. Sci.

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The traditional electrical grid has to be digitally improved as digitalization and effective integration of renewable energy bring better efficiency, intelligence, and safety into the grid; hence, the transition from the traditional grid to a smart grid. A smart grid is a modernized and digitalized standard electrical infrastructure that has a key component known as the advanced metering infrastructure (AMI). AMI, also known as smart metering, is a key technological enabler of the smart grid that allows automatic collection and reporting of power-consumed data via two-way communication networks. However, the collected power consumption data is confidential; hence, its privacy must be maintained. Similarly, for the benefit of the smart grid to be consistently maximized, the AMI data and network security must always be intact despite the evolving threats and attacks targeted at it.This paper provides a comprehensive review of the existing vulnerabilities/attacks, security and privacy challenges associated with the smart metering data and network system, its open issues, and future direction. The major contributions of this review paper lie in the AMI vulnerabilities, AMI state-of-the-art security schemes with their pros and cons, its communication protocols analysis, and its emerging security measures. This gave enumerated recommendations for the efficiency improvement of AMI security in terms of its latency reduction while implementing efficient security measures in its future work.

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Section: Ami Software and Communication Protocol Vulnerabilities [80]...mentioning

confidence: 99%

Privacy and security of advanced metering infrastructure (AMI) data and network: a comprehensive review

Ajiboye,

Agyekum,

Frimpong

2024

J. Eng. Appl. Sci.

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“…Meanwhile, Yan et al [24] introduced a lightweight approach designed to provide a key agreement and mutual authentication mechanism. This solution, however, was later shown to be susceptible to various attacks like Denial of Service (DoS) and replay attacks as noted by Shariat and Safkhani [34]. Mahmood et al [25] proposed a solution that relied on ECC to facilitate peer-to-peer communication within the Smart Grid (SG).…”

Section: Related Workmentioning

confidence: 99%

SE-CDR: Enhancing Security and Efficiency of Key Management in Internet of Energy Consumer Demand-Response Communications

Benmalek,

Harkat,

Haouam

et al. 2023

IJSSE

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The burgeoning Internet of Energy (IoE) paradigm, a fusion of the Internet of Things (IoT) and Smart Grid (SG) technologies, holds the promise of significantly enhancing the reliability and efficiency of energy production, transmission, and consumption across the entire energy chain, from generation to the end user. Two central technical aspects that enable this innovation are the advent of smart consumer electronics and the establishment of bidirectional IoT communications. These developments have facilitated the incorporation of novel applications into the Smart Grid, including smart metering, Consumer Demand-Response (CDR) management, and prepayment. In this study, our focus lies primarily on the development of a secure and efficient key management system for CDR communications. It is demonstrated herein that a previous key graph-based scheme, called EDR, is susceptible to collusion attacks and lacks support for broadcast CDR communications. In response to these vulnerabilities, we propose a novel key management scheme, referred to as Secure and Efficient key management scheme for CDR communications (SE-CDR). This scheme retains the strengths of the EDR while introducing a modified multi-group key graph technique, designed to ensure the secure, efficient, and scalable management of unicast, multicast, and broadcast CDR communications. The presented security analysis and performance evaluation results establish the robust security of the SE-CDR scheme. Moreover, a comparative analysis revealed that this new approach offers significant improvements in terms of storage and communication efficiency, outperforming existing state-of-the-art methods. This study thus presents a promising advancement in the realm of secure and efficient key management for the Internet of Energy paradigm.

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“…Its applications are discussed in [4], and they contribute to the rapid improvement of AI.With the advent of the Internet of Things, it will be possible for more "Things" than ever before to exchange data with one another. In the future, the IoT will have an impact on many other spheres, including but not limited to: business models [5][6][7][8][9], agricultural [10,11], transportation [12][13][14], autonomous industrial processes [15][16][17], homes, infrastructure, security, trade standards, and many more. While the eventual widespread use of Internet of Things (IoT) technologies has many potential benefits, there are also many challenges that must be overcome, such as safety and privacy issues.. Security and privacy in the context of the Internet of Things (IoT) apply not only to the means by which the data generated and sent by IoT devices may be safeguarded, but also to the identities of users in the IoT ecosystem and the ethics of their use of the technology.…”

Section: Introductionmentioning

confidence: 99%

Designing of Lightweight Security Scheme for IoT (2020)

2023

jcr

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Research and development is continuing to improve privacy for low-resource Internet of Things devices, and two examples are encrypted client-side and secure provisioning. Since conventional security methods need the use of resource-intensive cryptographic algorithms, they are often incompatible with the limited computing power of IoT devices. Therefore, developing new security schemes or adapting current ones as lightweight is a possibility for restricted IoT devices. In this paper, we introduce the Efficient Security Encryption Standard (ESS), an improved variant of the Advanced Encryption Standard (AES). Power-constrained IoT devices may use this technique to improve their security in areas like client-side encryption and secure provisioning, among others. Data produced by IoT devices should be secured on the client side before transmission to chosen cloud platforms, since cloud computing is the fundamental enabler for the mass provisioning of IoT devices. However, a significant difficulty still persists when attempting to satisfy several competing needs. Rapid computation

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How the control over smart meters is lost in the Yan et al. lightweight AKA scheme for smart grids

Cited by 5 publications

References 7 publications

Privacy and security of advanced metering infrastructure (AMI) data and network: a comprehensive review

Privacy and security of advanced metering infrastructure (AMI) data and network: a comprehensive review

SE-CDR: Enhancing Security and Efficiency of Key Management in Internet of Energy Consumer Demand-Response Communications

Designing of Lightweight Security Scheme for IoT (2020)

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