An Efficient ABE Scheme With Verifiable Outsourced Encryption and Decryption

Li, Zhidan; Li, Wenmin; Jin, Zhengping; Zhang, Hua; Wen, Qiaoyan

doi:10.1109/access.2018.2890565

Cited by 36 publications

(56 citation statements)

References 28 publications

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“…Li et al 31 introduced an ABE protocol with fully verifiable oursourced decryption as well, and all the users (including authorized and unauthorized) enabled to check the correctness of transformed ciphertext. Recently, the scheme in Li et al 32 demonstrated an verifiability ABE with outsourced computing in both the encryption and decryption phases. This protocol caused the cost of transformed key generation to be constant and shifted the burden on both the DO and user.…”

Section: Related Workmentioning

confidence: 99%

A lightweight verifiable outsourced decryption of attribute-based encryption scheme for blockchain-enabled wireless body area network in fog computing

Guo

Zhuang

Shi

et al. 2020

International Journal of Distributed Sensor Networks

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Wireless body area network includes some tiny wearable sensors for monitoring the physiological data of user, which has been a promising method of promoting the quality and efficiency greatly in healthcare. The collected physical signs are aggregated into the medical documents and uploaded to cloud server for utilizing by the remote user. As these files are highly sensitive privacy data, there is a vital challenge that constructs a secure and efficient communication architecture in this application scenario. Based on this standpoint, we present a lightweight verifiability ciphertext-policy attribute-based encryption protocol with outsourced decryption in this article. Specifically, our construction enjoys the following six features: (1) Although the outsourced decryption enables to save the computation overhead of the data user sharply in an attribute-based encryption scheme, the ciphertext is out of control and the correctness cannot be guaranteed by the data owner. The proposal provides the verifiability of ciphertext that ensures the user to check the correctness efficiently. (2) The size of the ciphertext is constant that is not increased with the complexity of attribute and access structure. (3) For Internet of Things devices, it introduces the fog computing into our protocol for the purpose of low latency and relation interactions, which has virtually saved the bandwidth. (4) With the help of blockchain technique, we encapsulate the hash value of public parameter, original and transformed ciphertext and transformed key into a block, so that the tamper-resistance is facilitated against an adversary from inside and outside the system. (5) In the standard model, we prove that it is selectively chosen-plaintext attack-secure and verifiable provided that the computational bilinear Diffie–Hellman assumption holds. (6) It implements this protocol and shows the result of performance measurement, which indicates a significant reduction on communication and computation costs burden on every entity in wireless body area network.

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Section: Related Workmentioning

confidence: 99%

A lightweight verifiable outsourced decryption of attribute-based encryption scheme for blockchain-enabled wireless body area network in fog computing

Guo

Zhuang

Shi

et al. 2020

International Journal of Distributed Sensor Networks

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“…The schemes (Lai scheme [ 16 ], Jiguo Li scheme [ 20 ], and Zhidan Li scheme [ 21 ]) that proposed verifiable outsourcing encrypt two different messages when generating a ciphertext and generate a value that can verify the two messages. Later, the user verifies the integrity of the message by creating a verification value with the two messages obtained by decrypting the ciphertext.…”

Section: Related Workmentioning

confidence: 99%

“…Additionally, the user should know whether the result value calculated by the outsourcing server is a properly calculated result value according to the result value after the final decryption. Therefore, a verification process is needed to prove that the result calculated by the outsourcing server is a properly calculated result [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. In this paper, we propose a system that can safely share medical data among multiple users who use the cloud in an IoMT environment and provide protection for user privacy and from key abuse.…”

Section: Introductionmentioning

confidence: 99%

A Study on CP-ABE-Based Medical Data Sharing System with Key Abuse Prevention and Verifiable Outsourcing in the IoMT Environment

Hwang¹,

Lee²

2020

Sensors

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Recent developments in cloud computing allow data to be securely shared between users. This can be used to improve the quality of life of patients and medical staff in the Internet of Medical Things (IoMT) environment. However, in the IoMT cloud environment, there are various security threats to the patient’s medical data. As a result, security features such as encryption of collected data and access control by legitimate users are essential. Many studies have been conducted on access control techniques using ciphertext-policy attribute-based encryption (CP-ABE), a form of attribute-based encryption, among various security technologies and studies are underway to apply them to the medical field. However, several problems persist. First, as the secret key does not identify the user, the user may maliciously distribute the secret key and such users cannot be tracked. Second, Attribute-Based Encryption (ABE) increases the size of the ciphertext depending on the number of attributes specified. This wastes cloud storage, and computational times are high when users decrypt. Such users must employ outsourcing servers. Third, a verification process is needed to prove that the results computed on the outsourcing server are properly computed. This paper focuses on the IoMT environment for a study of a CP-ABE-based medical data sharing system with key abuse prevention and verifiable outsourcing in a cloud environment. The proposed scheme can protect the privacy of user data stored in a cloud environment in the IoMT field, and if there is a problem with the secret key delegated by the user, it can trace a user who first delegated the key. This can prevent the key abuse problem. In addition, this scheme reduces the user’s burden when decoding ciphertext and calculates accurate results through a server that supports constant-sized ciphertext output and verifiable outsourcing technology. The goal of this paper is to propose a system that enables patients and medical staff to share medical data safely and efficiently in an IoMT environment.

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“…Zuo et al developed ABE with outsourced decryption for the fog computing [26]. Li et al outsourced the exponential operation to speed up both the encryption and decryption process [27]. Fischer et al used a proxy to convert a ciphertext into an ABE ciphertext [28].…”

Section: Previous Work On Attribute-based Encryptionmentioning

confidence: 99%

“…First, we check the required encryption time in the sensor. We compared our work with Waters scheme [14], which is our base scheme, Yao scheme [23], which is not a pairing scheme, Li scheme [27] (the outsourcing server is a computer with an INTEL i7 CPU. Li et al separated the encryption work into the data owner and the outsourcing server.…”

Section: Performance Evaluationmentioning

confidence: 99%

Privacy-Preserving Broker-ABE Scheme for Multiple Cloud-Assisted Cyber Physical Systems

Chi

Wang

2019

Sensors

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Cloud-assisted cyber-physical systems (CCPSs) integrate the physical space with cloud computing. To do so, sensors on the field collect real-life data and forward it to clouds for further data analysis and decision-making. Since multiple services may be accessed at the same time, sensor data should be forwarded to different cloud service providers (CSPs). In this scenario, attribute-based encryption (ABE) is an appropriate technique for securing data communication between sensors and clouds. Each cloud has its own attributes and a broker can determine which cloud is authorized to access data by the requirements set at the time of encryption. In this paper, we propose a privacy-preserving broker-ABE scheme for multiple CCPSs (MCCPS). The ABE separates the policy embedding job from the ABE task. To ease the computational burden of the sensors, this scheme leaves the policy embedding task to the broker, which is generally more powerful than the sensors. Moreover, the proposed scheme provides a way for CSPs to protect data privacy from outside coercion.

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An Efficient ABE Scheme With Verifiable Outsourced Encryption and Decryption

Cited by 36 publications

References 28 publications

A lightweight verifiable outsourced decryption of attribute-based encryption scheme for blockchain-enabled wireless body area network in fog computing

A lightweight verifiable outsourced decryption of attribute-based encryption scheme for blockchain-enabled wireless body area network in fog computing

A Study on CP-ABE-Based Medical Data Sharing System with Key Abuse Prevention and Verifiable Outsourcing in the IoMT Environment

Privacy-Preserving Broker-ABE Scheme for Multiple Cloud-Assisted Cyber Physical Systems

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