Secure Outsourcing of Large-Scale Convex Optimization Problem in Internet of Things

Li, Hongjun; Yu, Jia; Yang, Ming; Kong, Fanyu

doi:10.1109/jiot.2021.3116127

Cited by 6 publications

(2 citation statements)

References 37 publications

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“…Outsourcing computation [15,16] can allow the resource-constrained SM to outsource complex computation tasks to the server (may be another GW) with sufficient computation resources, which is suitable for SMs. However, there are three security challenges [17] for outsourcing computation.…”

Section: Introductionmentioning

confidence: 99%

Privacy-Preserving Outsourcing Algorithms for Multidimensional Data Encryption in Smart Grids

Zhai

Yang

Zhao

et al. 2022

Sensors

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With the development of the Internet of Things, smart grids have become indispensable in our daily life and can provide people with reliable electricity generation, transmission, distribution and control. Therefore, how to design a privacy-preserving data aggregation protocol has been a research hot-spot in smart grid technology. However, these proposed protocols often contain some complex cryptographic operations, which are not suitable for resource-constrained smart meter devices. In this paper, we combine data aggregation and the outsourcing of computations to design two privacy-preserving outsourcing algorithms for the modular exponentiation operations involved in the multi-dimensional data aggregation, which can allow these smart meter devices to delegate complex computation tasks to nearby servers for computing. By utilizing our proposed outsourcing algorithms, the computational overhead of resource-constrained smart meter devices can be greatly reduced in the process of data encryption and aggregation. In addition, the proposed algorithms can protect the input’s privacy of smart meter devices and ensure that the smart meter devices can verify the correctness of results from the server with a very small computational cost. From three aspects, including security, verifiability and efficiency, we give a detailed analysis about our proposed algorithms. Finally, through carrying out some experiments, we prove that our algorithms can improve the efficiency of performing the data encryption and aggregation on the smart meter device side.

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Section: Introductionmentioning

confidence: 99%

Privacy-Preserving Outsourcing Algorithms for Multidimensional Data Encryption in Smart Grids

Zhai

Yang

Zhao

et al. 2022

Sensors

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“…However, some previous identity-based authenticated key agreement protocols usually involve some complex cryptographic operations such as bilinear pairing, which are not suitable for the smart meter devices with the limited computation and storage resources. With the rapid development of cloud computing (Gao et al, 2021;Liu Y. et al, 2022), although the resourceconstrained smart meter devices can outsource the complex cryptographic operations to the cloud servers with the powerful computation resources (Li H. et al, 2022(Li H. et al, , 2021, this method not only increases the communication cost and monetary cost of smart meter devices, but also requires adjusting the architecture of entire smart grid. Therefore, one of the most straightforward ways is to design a lightweight authenticated key agreement protocol.…”

mentioning

confidence: 99%

Lightweight and dynamic authenticated key agreement and management protocol for smart grid

et al. 2023

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With the development of IoT and 5G, the smart grid, as one of the key component for the smart city, can provide the uninterrupted and reliable electricity service by properly adjusting the electricity supply according to the consumption of users. The advanced metering infrastructure (AMI), as an important part of smart grid system, is a complete network and system for measuring, collecting, storing and analyzing the electricity consumption information of users. The security of AMI plays a vital role in the smooth operation of smart grid. In this paper, we study how to establish the secure communication between two entities in AMI, namely the smart meter and the electricity service provider. Although, there are many authentication and key management protocols for AMI, the high complexity and computation overhead of these protocols hinder their application in the smart grid environment. Based on identity cryptosystem and elliptic curve cryptography (ECC), we put forward a lightweight and dynamic authenticated key agreement and management protocol, which can significantly reduce the computation overhead of the resource-constrained smart meters. In addition, we utilize a one-way key tree technique to efficiently generate and update the group key in the multicast communication. We give a systematic proof to show that our designed protocol not only guarantees the confidentiality and integrity of transmitted messages, but also resists various attacks from an adversary. Finally, we carry out some simulated experiments to demonstrate the high efficiency of our designed protocol.

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A sinusoidal social learning swarm optimizer for large-scale optimization

Liu¹,

Pan²,

Chu³

et al. 2023

Knowledge-Based Systems

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Secure Outsourcing of Large-Scale Convex Optimization Problem in Internet of Things

Cited by 6 publications

References 37 publications

Privacy-Preserving Outsourcing Algorithms for Multidimensional Data Encryption in Smart Grids

Privacy-Preserving Outsourcing Algorithms for Multidimensional Data Encryption in Smart Grids

Lightweight and dynamic authenticated key agreement and management protocol for smart grid

A sinusoidal social learning swarm optimizer for large-scale optimization

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