LVPDA: A Lightweight and Verifiable Privacy-Preserving Data Aggregation Scheme for Edge-Enabled IoT

Zhang, Jiale; Zhao, Yanchao; Wu, Jie; Chen, Bing

doi:10.1109/jiot.2020.2978286

Cited by 75 publications

(18 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SAMA scheme uses various systems such as RSA-type and ElGamal-type for preserving the location and identity privacy of a data source as well as message authenticity and integrity. Zhang et al [116] proposed a privacy-preserving data aggregation scheme, named LVPDA, which can be applied for the edge-computingenabled smart agriculture. During the data aggregation process, the LVPDA scheme combines an online/offline signature technique and Paillier homomorphic encryption method for privacy-preserving and integrity verification.…”

Section: B Privacy-preservingmentioning

confidence: 99%

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

Yang

Shu

Chen

et al. 2021

IEEE/CAA J. Autom. Sinica

278

View full text Add to dashboard Cite

With the deep combination of both modern information technology and traditional agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come. Smart agriculture provides solutions for agricultural intelligence and automation. However, information security issues cannot be ignored with the development of agriculture brought by modern information technology. In this paper, three typical development modes of smart agriculture (precision agriculture, facility agriculture, and order agriculture) are presented. Then, 7 key technologies and 11 key applications are derived from the above modes. Based on the above technologies and applications, 6 security and privacy countermeasures (authentication and access control, privacy-preserving, blockchain-based solutions for data integrity, cryptography and key management, physical countermeasures, and intrusion detection systems) are summarized and discussed. Moreover, the security challenges of smart agriculture are analyzed and organized into two aspects: 1) agricultural production, and 2) information technology. Most current research projects have not taken agricultural equipment as potential security threats. Therefore, we did some additional experiments based on solar insecticidal lamps Internet of Things, and the results indicate that agricultural equipment has an impact on agricultural security. Finally, more technologies (5G communication, fog computing, Internet of Everything, renewable energy management system, software defined network, virtual reality, augmented reality, and cyber security datasets for smart agriculture) are described as the future research directions of smart agriculture.

show abstract

Section: B Privacy-preservingmentioning

confidence: 99%

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

Yang

Shu

Chen

et al. 2021

IEEE/CAA J. Autom. Sinica

278

View full text Add to dashboard Cite

show abstract

“…Privacy-preserving data aggregation has attracted much attention in recent years. To protect the sensitive information of users, the homomorphic encryption technology [ 11 , 13 , 16 , 17 , 18 , 19 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ], the differential privacy technology [ 17 , 26 , 27 , 31 ], and the pseudonym technology [ 12 , 15 , 32 , 33 ] have mainly been used in aggregation schemes [ 34 ].…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, selective aggregation was achieved by computing the inner product similarity to identify the aggregation subset. Zhang et al [ 24 ] constructed a lightweight and verifiable PPDA scheme, called LVPDA, which was proved to be existentially unforgeable under the chosen message attack. LVPDA introduced the edge computing paradigm for efficient data storage and computing services.…”

Section: Related Workmentioning

confidence: 99%

Privacy-Preserving and Lightweight Selective Aggregation with Fault-Tolerance for Edge Computing-Enhanced IoT

Wang

2021

Sensors

View full text Add to dashboard Cite

Edge computing has been introduced to the Internet of Things (IoT) to meet the requirements of IoT applications. At the same time, data aggregation is widely used in data processing to reduce the communication overhead and energy consumption in IoT. Most existing schemes aggregate the overall data without filtering. In addition, aggregation schemes also face huge challenges, such as the privacy of the individual IoT device’s data or the fault-tolerant and lightweight requirements of the schemes. In this paper, we present a privacy-preserving and lightweight selective aggregation scheme with fault tolerance (PLSA-FT) for edge computing-enhanced IoT. In PLSA-FT, selective aggregation can be achieved by constructing Boolean responses and numerical responses according to specific query conditions of the cloud center. Furthermore, we modified the basic Paillier homomorphic encryption to guarantee data privacy and support fault tolerance of IoT devices’ malfunctions. An online/offline signature mechanism is utilized to reduce computation costs. The system characteristic analyses prove that the PLSA-FT scheme achieves confidentiality, privacy preservation, source authentication, integrity verification, fault tolerance, and dynamic membership management. Moreover, performance evaluation results show that PLSA-FT is lightweight with low computation costs and communication overheads.

show abstract

“…Although the sharding technology can reduce computational overhead, it requires a relatively large communication overhead, which may cause collisions between nodes and data loss of nodes. Data aggregation based on homomorphic encryption [20] can aggregate ciphertext without decryption. But it does not support integrity verification.…”

Section: User Data Protectionmentioning

confidence: 99%

A Lightweight Certificateless Aggregate Ring Signature Scheme for Privacy-preserving in Smart Grids

Wang

Wen

et al. 2021

Preprint

View full text Add to dashboard Cite

There exists a problem of user privacy leakage in the smart grids (SGs) that malicious attackers may intercept or tamper with electricity data and associate the stolen data with real users to commit crimes. Besides, node equipment resources in the SGs are limited. Aiming at the problems above, most of the existing privacy-preserving schemes apply aggregate signature to ensure the integrity of message and improve communication efficiency. However, they cannot realize the anonymity of users to block link attacks, and most of the aggregate signature verification has a high computational cost. Therefore, we propose a certificateless aggregate ring signature (CLARS) scheme based on computational Diffie-Hellman problem and decisional Diffie-Hellman problem. Our scheme is suitable for privacy-preserving in SGs. In this scheme, certificateless cryptosystem is used to avoid key escrow and certificates management problems and ring signature is used to ensure the unconditional anonymity of users. In addition, our scheme is proved to be unforgeability and unconditional anonymity under adaptively chosen message attacks against Type I and Type II adversaries in the random oracle model. Compared with previous certificateless aggregate signature (CLAS) schemes, our CLARS scheme has lower computational cost, which only needs two pairing operations.

show abstract

LVPDA: A Lightweight and Verifiable Privacy-Preserving Data Aggregation Scheme for Edge-Enabled IoT

Cited by 75 publications

References 32 publications

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

Privacy-Preserving and Lightweight Selective Aggregation with Fault-Tolerance for Edge Computing-Enhanced IoT

A Lightweight Certificateless Aggregate Ring Signature Scheme for Privacy-preserving in Smart Grids

Contact Info

Product

Resources

About