LPM2DA: a lattice-based privacy-preserving multi-functional and multi-dimensional data aggregation scheme for smart grid

Darzi, Saleh; Akhbari, Bahareh; Khodaiemehr, Hassan

doi:10.1007/s10586-021-03387-0

Cited by 17 publications

(11 citation statements)

References 29 publications

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“…Our scheme is simulated for resource-constrained SGNs, results in at least 22.07% more energy efficient than other competing schemes, and uses 51.48% less storage space along with 76.28% computational overhead. The proposed protocol is more efficient than [22][23][24][25] in terms of storage, communication, computation, and energy consumption. Hence, the proposed scheme achieves better results than other competing schemes.…”

Section: Discussionmentioning

confidence: 99%

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Quantum‐safe Lattice‐based mutual authentication and key‐exchange scheme for the smart grid

Shekhawat,

Gupta

2024

Trans Emerging Tel Tech

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The smart grid network (SGN) is expected to leverage advances in the Internet of Things (IoT) to enable effective delivery and monitoring of energy. By integrating communication, computing, and information tools like smart sensors and meters to facilitate the process of monitoring, predictions, and management of power usage, the SGN can improve competence of power‐grid architecture. However, the effective deployment of IoT‐powered SGNs hinges on the deployment of strong security protocols. With the advent of quantum computers, classic cryptographic algorithms based on integer factorization and the Diffie‐Hellman assumptions may not be suitable to secure the sensitive data of SGNs. Therefore, in this paper, a secure quantum‐safe mutual authentication and key‐exchange (MAKe) mechanism is proposed for SGNs, that make use of the hard assumptions of small integer solution and inhomogeneous small integer solution problems of lattice. The proposed protocol is intended to offer confidentiality, anonymity, and hashed‐based mutual authentication with a key‐exchange agreement. Similarly, this scheme allows creation and validation of the mutual trust among the smart‐meters (SMs) and neighbourhood‐area network gateway over an insecure wireless channel. A random oracle model is then used to perform the formal security analysis of the proposed approach. A thorough formal analysis demonstrates proposed algorithm's ability to withstand various known attacks. The performance analysis shows that the proposed approach outperforms other comparative schemes with respect to at least 22.07% of minimal energy utilization, 51.48% effective storage and communications costs, as well as 76.28% computational costs, and thus suitable for resource‐constrained SGNs.

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Section: Discussionmentioning

confidence: 99%

“…In addition, similar types of quantum-safe lattice-based schemes [22][23][24][25] are compared with the proposed work. Table 3 compares the proposed work with the competing schemes in terms of storage and communications overheads, whereas Table 4 compares the computational cost.…”

Section: Performance Evaluationsmentioning

confidence: 99%

Quantum‐safe Lattice‐based mutual authentication and key‐exchange scheme for the smart grid

Shekhawat,

Gupta

2024

Trans Emerging Tel Tech

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“…In addition, the implementation of advanced blockchain technology and machine learning techniques can also be investigated for accurate detection and mitigation of Implementing lattice-based cryptography which is a type of PQC scheme, for AMI security against quantum and classical attacks, was investigated and found compatible. Its variant schemes with lesser delay and lesser computational complexities are encouraged to be developed [86,104,105]. Artificial intelligence methods/machine learning techniques were also explored for AMI security [106,107].…”

Section: Open Issues/future Researchmentioning

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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“…Recently, the aggregation of privacy data (PPDA) has received growing attention in areas such as smart grids [6] and vehicle detection systems [7,8]. Some earlier work has considered uploading using homomorph cryptosystems [9,10].…”

Section: Related Workmentioning

confidence: 99%

ES-PPDA: an efficient and secure privacy-protected data aggregation scheme in the IoT with an edge-based XaaS architecture

Chen

Jiang

2022

J Cloud Comp

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In an Internet of Things (IoT) system based on an anything as a service (XaaS) architecture, data are uploaded from heterogeneous nodes in a nonstandardized format and aggregated on the server side. Within this data-intensive architecture, privacy preservation is one of the most important issues. In response to this concern, there are numerous privacy-protection data aggregation (PPDA) solutions available for various IoT applications. Because of the limited resources of intelligent IoT devices, traditional PPDA cannot meet practical privacy and performance needs. To tackle this challenge, we provide a more efficient and secure PPDA solution that guarantees data security and integrity through Paillier homomorphic encryption and online/offline signing technology. Detailed security analysis shows that our system is unpredictable under a chosen message attack, and the data integrity may be guaranteed under the assumption of q-strong Diffie-Hellman (Q-SDH). We choose an M/G/1 priority queue model to maximize system performance. M/G/1 enhances queuing efficiency and accelerates channel access, thus reducing waiting time and increasing reliability. The experimental results show that our data aggregation scheme is reliable with low latency.

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LPM2DA: a lattice-based privacy-preserving multi-functional and multi-dimensional data aggregation scheme for smart grid

Cited by 17 publications

References 29 publications

Quantum‐safe Lattice‐based mutual authentication and key‐exchange scheme for the smart grid

Quantum‐safe Lattice‐based mutual authentication and key‐exchange scheme for the smart grid

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

ES-PPDA: an efficient and secure privacy-protected data aggregation scheme in the IoT with an edge-based XaaS architecture

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