Secure Outsourced Attribute-Based Sharing Framework for Lightweight Devices in Smart Health Systems

Zhang, Leyou; You, Wenting; Mu, Yi

doi:10.1109/tsc.2021.3073740

Cited by 27 publications

(25 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The decryption time of our scheme 0.024 regardless the number of attributes in access policy. On another hand, the impact of number of attributes is clear in Figure . 4 for Jin et al [13] and Zhang et al [4] schemes. for example, the execution time of encryption operation when the number of attributes is three is 0.263 seconds and 0.301 seconds for [13] and [4] schemes respectively.…”

Section: Defintionmentioning

confidence: 94%

“…Whereas, the execution time of the decryption operation on DecIn machine is constant. 4 the execution time impact with the number of attributes in all discussed schemes (ours, [13], and [4]). However, its slightly impact in our scheme as the execution time is is 0.114 seconds when the number of attributes is three to and it is is 0.164 seconds when the number of attributes is thirty.…”

Section: Defintionmentioning

confidence: 99%

“…Therefore, the schemes based on threshold access policy is not restricted for limited applications. In this article, we will compare our proposed scheme with schemes proposed in [13] (Threshold access policy) and [4] scheme (AND access policy) as both schemes have minimum number of exponentiation (Encryption) and minimum number of pairing (decryption) for Threshold and AND access policy respectively.…”

Section: Related Workmentioning

confidence: 99%

“…To fix the above mentioned problems, the data owner should either use an authenticated access control system that allows only authorized users to access the data [3], or encrypt the data before uploading it to the cloud [4]. However, using an authenticated access control techniques is not completely secure because intruders could still access the data using malicious software [5].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Efficient Privacy Preserving Scheme for Internet of Things Environment

Taha

2023

Preprint

View full text Add to dashboard Cite

While Internet of Things (IoT) systems, including cloud-enabled IoT systems, are becoming the norm, ensuring the security and privacy of data without impacting performance remains challenging. In this paper, we demonstrate how one can outsource attribute-based encryption (ABE) operations (e.g., encryption and decryption) to proxy servers in order to reduce the computation overhead of encryption and decryption. Our proposed scheme is also designed to incur minimal storage overhead of the ciphertext (CT), by generating constant ciphertext, regardless of the number of access policy attributes required for encryption. We also evaluate the performance of our proposed scheme and demonstrate that our scheme is more efficient than two other schemes.

show abstract

Section: Defintionmentioning

confidence: 94%

Section: Defintionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Efficient Privacy Preserving Scheme for Internet of Things Environment

Taha

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…But it is evaluated to be too inefficient to be practically deployed for its cumbersome algorithm structure. On this basis, Zhang et al [31] alleviated the decryption overheads by applying the secure outsourced computing technology, but the system still cannot escape from the complicated algorithm structure. To address this problem, more recently, Ying et al [32] constructed a novel fully policy-hidden ABE scheme with significant efficiency improvements by their designed security-enhanced Attribute Cuckoo Filter.…”

Section: Related Workmentioning

confidence: 99%

Privacy-Preserving Task Distribution Mechanism with Cloud-Edge IoT for the Mobile Crowdsensing

Jiang

Qin

2022

Security and Communication Networks

View full text Add to dashboard Cite

Mobile crowdsensing under big data provides an efficient, win-win, and low-budget data collection solution for IoT applications such as the smart city. However, its open and all access scenarios raise the threat of data security and user privacy during task distribution of mobile crowdsensing. To eliminate the above threat, this paper first designs a privacy-preserving task distribution scheme (Scheme 1), which realizes fine-grained access control and the practical keyword search, as well as protects the access policy. But it incurs expensive computational and communication consumptions for the task performer side. In this regard, we construct Scheme 2 to attain a lightweight trapdoor generation and keyword search mechanism, and it enables the crowdsensing platform to predecrypt a ciphertext without revealing any information about the task and the performer’s privacy. Then, the resource-constrained device on the task performer side can recover the task with a few computational and communication overheads. The security of the scheme has been detailedly proved and analyzed, and theoretical comparisons and experiment demonstrate their practicability.

show abstract

Lightweight Cryptography in IoHT: An Analytical Approach

Chakraborty¹,

Guria²

2022

Mobile Computing and Sustainable Informatics

View full text Add to dashboard Cite

Secure Outsourced Attribute-Based Sharing Framework for Lightweight Devices in Smart Health Systems

Cited by 27 publications

References 42 publications

An Efficient Privacy Preserving Scheme for Internet of Things Environment

An Efficient Privacy Preserving Scheme for Internet of Things Environment

Privacy-Preserving Task Distribution Mechanism with Cloud-Edge IoT for the Mobile Crowdsensing

Lightweight Cryptography in IoHT: An Analytical Approach

Contact Info

Product

Resources

About