Lightweight and Privacy-Preserving Medical Services Access for Healthcare Cloud

Liu, Jingwei; Tang, Huifang; Sun, Rong; Du, Xiaojiang; Guizani, Mohsen

doi:10.1109/access.2019.2931917

Cited by 30 publications

(17 citation statements)

References 31 publications

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“…Liu et al proposed signature scheme of Lightweight and Privacy-Preserving Medical Services Access (LPP-MSA) is proposed to secure the data and reduce the computational overhead in the existing attribute-based signature scheme. It additionally accomplished resistant against the collusion attack with anonymity and unforgeability [16].…”

Section: Related Workmentioning

confidence: 99%

TAR-AFT: A Framework to Secure Shared Cloud Data with Group Management

Ambika¹,

Moses²

2022

Intelligent Automation &Amp; Soft Computing

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In addition to replacing desktop-based methods, cloud computing is playing a significant role in several areas of data management. The health care industry, where so much data is needed to be handled correctly, is another arena in which artificial intelligence has a big role to play. The upshot of this innovation led to the creation of multiple healthcare clouds. The challenge of data privacy and confidentiality is the same for different clouds. Many existing works has provided security framework to ensure the security of data in clouds but still the drawback on revocation, resisting collusion attack along with privacy of data present a complex problem. For preserving the data privacy and confidentiality, a novel framework is proposed with two novel algorithms of Threat Aware Revocation (TAR) and Advance Flexi Twister Secret Block Encryption Standard (AFT-SBES) both are named as TAR-AFT. The TAR algorithm is mainly focus on generates the user signature and the AFT-SBES algorithm to generate the key. Both the signature and key are distributed to the users for enhancing the security to access cloud storage and files. The self-session shadow approach is used to monitor the activities of the cloud users. The revocation is carried out through removal of signature from the Enhanced Dynamic Hash Table (EDHT). From the performance analysis of TAR-AFT, it provides more effective to accessing of data stored in cloud and security such as data privacy and confidentiality.

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Section: Related Workmentioning

confidence: 99%

TAR-AFT: A Framework to Secure Shared Cloud Data with Group Management

Ambika¹,

Moses²

2022

Intelligent Automation &Amp; Soft Computing

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“…The lowcost authentication mechanism is realized by the shared key, and has high robustness. However, the LPP-MSA scheme proposed in [58] uses online / offline signature and server assisted verification mechanism to realize the privacy protection of patients with low computing and storage costs. In addition, telemedicine [59] is also an important application direction of cloud computing in the medical field.…”

Section: Applications Of Cloud-enabled Iomtmentioning

confidence: 99%

Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application

et al. 2020

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With the booming development of medical informatization and the ubiquitous connections in the fifth generation mobile communication technology (5G) era, the heterogeneity and explosive growth of medical data have brought huge challenges to data access, security and privacy, as well as information processing in Internet of Medical Things (IoMT). This article provides a comprehensive review of how to realize the timely processing and analysis of medical big data and the sinking of high-quality medical resources under the constraints of the existing medical environment and medical-related equipment. We mainly focus on the advantages brought by the cloud computing, edge computing and artificial intelligence technologies to the IoMT. We also explore how to rationalize the use of medical resources and the security and privacy of medical data, so that high-quality medical services can be provided to patients. Finally, we discuss the current challenges and possible future research directions in the edge-cloud computing and artificial intelligence related IoMT. INDEX TERMS Internet of medical things (IoMT), deep learning, edge of computing, computation offloading.

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“…Shangping Wang et. al., [3] proposed the scheme of KS-ABESwETfor keyword search equality mechanism and converted index to adopt a pattern search. Cloud server and determine and authorize the cipher text and equality test mechanism.…”

Section: Literature Surveymentioning

confidence: 99%

“…Secure data sharing in cloud is achieved by testing two pair of cipher text which containssame plain text. [3] The Attribute based Signature(ABS) method gives the authority as five basic steps Global set up, authority setup, Attribute generation signing phase and verification phase.LPP-MSA (Light weight Privacy Preserving Medical Service Access) follows the eight basic steps which include Global setup, Authority setup, key generation ,offline signature, online signature , Transform, CS(Cloud Server)-verify and MSP(Medical Service Provider) verify . By these basic steps, the security and performance isanalyzed using enforceability model.…”

Section: Introductionmentioning

confidence: 99%

Privacy Preserving and Sensitive Attribute Based Cloud Storage: A Survey

Muthulakshmi

Valarmathi²

2020

Intelligent Systems and Computer Technology

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Cloud computing is a recent methodology to store and retrieve huge volume of data in a cost effective way. Distributed computing undertakes security to the system as its main role. Recently, the owners of the data need to think about the level of security provided to their information during storage and its movement while performing various tasks. Current security technique offers security to the entire information with encryption/decryption time, cost incurred due to loading while providing less security to the sensitive attributes without the information about the owner of the data. Thus, an exchange off between high security and low capacity cost to the sensitive attributes are identified from the information provided and security techniques are applied to these information. This Survey paper portrays the thought of Searchable encryption (SE) with regards to human services applications and portrays the SE use cases into four situations in health care. The data contains in the medical image are sensitive in this way it is important to shield it from unapproved users. By utilizing different encryption strategy. We can give the security and privacy to the Electronic Health Record.

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Lightweight and Privacy-Preserving Medical Services Access for Healthcare Cloud

Cited by 30 publications

References 31 publications

TAR-AFT: A Framework to Secure Shared Cloud Data with Group Management

TAR-AFT: A Framework to Secure Shared Cloud Data with Group Management

Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application

Privacy Preserving and Sensitive Attribute Based Cloud Storage: A Survey

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