A scheme for data confidentiality in Cloud-assisted Wireless Body Area Networks

Hân, Nguyễn Đình; Han, Longzhe; Tuan, Dao Minh; In, Hoh Peter; Jo, Minho

doi:10.1016/j.ins.2014.03.126

Cited by 35 publications

(26 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Attribute-based Encryption [2, 11, 38, 39, 41-43, 43, 44, 48, 51] ( Hybrid Encryption [50] (1) Key generation = 3T 0 +T t , Data decryption = T r , 2014 Multivalued encryption [20] (1) Coverage time= CTFBT ≥ 1 1− ðþ N−1 and 'good, ' respectively [52]. In AYA [44], the efficiency analysis of C p-ABE algorithms is by comparison, using the Jpair library in terms of set time (ms), encryption time, and decryption time.…”

Section: Techniquesmentioning

confidence: 99%

“…While the importance of WBANs in healthcare is indubitable, the amount of data generated by these sensors is huge and demands more resources in terms of computation, memory, communication power, massive storage infrastructure, energy-efficient performance for processing, real-time monitoring, and data analysis [5,[7][8][9][10][11][12][13][14][15][16][17][18]. Cloud computing shows very promising progress in hosting the aforementioned resources as services over the Internet [10,19,20]. At present, IT professionals extend cloud computing to reduce the complexity and utilization of WBANs' resources.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards Smart Healthcare: Patient Data Privacy and Security in Sensor‐Cloud Infrastructure

Masood

Wang

Daud

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Nowadays, wireless body area networks (WBANs) systems have adopted cloud computing (CC) technology to overcome limitations such as power, storage, scalability, management, and computing. This amalgamation of WBANs systems and CC technology, as sensor-cloud infrastructure (S-CI), is aiding the healthcare domain through real-time monitoring of patients and the early diagnosis of diseases. Hence, the distributed environment of S-CI presents new threats to patient data privacy and security. In this paper, we review the techniques for patient data privacy and security in S-CI. Existing techniques are classified as multibiometric key generation, pairwise key establishment, hash function, attribute-based encryption, chaotic maps, hybrid encryption, Number Theory Research Unit, Tri-Mode Algorithm, Dynamic Probability Packet Marking, and Priority-Based Data Forwarding techniques, according to their application areas. Their pros and cons are presented in chronological order. We also provide our six-step generic framework for patient physiological parameters (PPPs) privacy and security in S-CI: (1) selecting the preliminaries; (2) selecting the system entities; (3) selecting the technique; (4) accessing PPPs; (5) analysing the security; and (6) estimating performance. Meanwhile, we identify and discuss PPPs utilized as datasets and provide the performance evolution of this research area. Finally, we conclude with the open challenges and future directions for this flourishing research area.

show abstract

Section: Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards Smart Healthcare: Patient Data Privacy and Security in Sensor‐Cloud Infrastructure

Masood

Wang

Daud

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The Message Authentication Code (MAC) provides such validation between sensor nodes and networks to establish a trustworthy communication. [19][26] [27] Fault Tolerance: one of the vital task of the WBAN'S system is to provide it's communication even if any fault appears.…”

Section: Security and Privacy Requirementsmentioning

confidence: 99%

Exploration of an Intelligent and Secure Wireless Body Area Networks for Health Monitoring

2019

ijrte

View full text Add to dashboard Cite

Today’s Wireless Body Area Networks technology augmented the wireless sensors communication more smart in the e-health line. With this sensors deployment prominent body parameters simply monitored remotely and the corresponding data is stored and transmitted the same for treatment purpose to the e-healthcare destination. Primarily Wireless Body Area Networks health care service is deliberately used in telemedicine, mobile health, elderly care, to monitor the chronic diseases and in emergency cases- the medical rehabilitations provided immediately without delay to the respective patient by the medical professional through internet service. As the demand of Wireless Body Area Networks e-health service increases, its ability is further enhanced once it is provided with more security and privacy to the enabled user’s data with more integrity, confidentiality, availability features. Wireless Body Area Networks makes the people to improve their quality of life provided with affordable cost and flexibility in usage having minimum operation of events. Researcher’s shows an interest over the past years in e-health care services adaptability and concerns more on real-world complications. This survey paper mainly focuses on the conceptual structure of Wireless Body Area Networks communication, security and privacy issues, and allocated frequency bands.

show abstract

“…The security problems in cloud-assisted WBSNs are also being studied by more and more researchers [62][63][64][65][66]. In [62], Zhou et al proposed a key management scheme for cloud-assisted WBSNs based on the Blom's symmetrical key.…”

Section: Related Workmentioning

confidence: 99%

“…Their schemes could resist two types of adversaries: the timebased adversaries and location-based adversaries. In [63], Han et al proposed a multivalued and ambiguous encryption scheme to ensure data confidentiality. In [64], Wan et al proposed a cloud-assisted WBSNs architecture to solve the problems including energy-efficient routing and cloud resource allocation; however, security properties were not achieved in their schemes.…”

Section: Related Workmentioning

confidence: 99%

LEPA: A Lightweight and Efficient Public Auditing Scheme for Cloud-Assisted Wireless Body Sensor Networks

Cui

Zhang

et al. 2017

Security and Communication Networks

View full text Add to dashboard Cite

From smart watch to remote healthcare system, wireless body sensor networks (WBSNs) play an important role in modern healthcare system. However, the weak capacity of devices has limited WBSNs development. Considering the huge processing and storage capacity of the cloud, it can be merged with WBSNs to make up for the deficiencies of weak capacity. Based on this consideration, the concept of cloud-assisted WBSNs has been proposed recently. In contrast to generic data, the data in cloud-assisted WBSNs will be used for providing medical diagnosis, so the integrity of data is very important because any modification will result in severe consequences such as misdiagnosis. The public auditing scheme could provide an efficient solution to check the data integrity remotely without downloading them. However, the traditional public auditing scheme for cloud cannot be used directly due to the high data density and weak processing capacity in WBSNs. So, in this paper, we proposed a lightweight and efficient public auditing scheme, LEPA, for cloud-assisted WBSNs. Compared with similar schemes, the WBSNs’ client only needs to do one symmetrical encryption with low computational cost in LEPA. Security proof shows that LEPA can resist two types of adversaries in random oracle model. The efficiency evaluation also shows that LEPA outperforms previous proposals.

show abstract

A scheme for data confidentiality in Cloud-assisted Wireless Body Area Networks

Cited by 35 publications

References 10 publications

Towards Smart Healthcare: Patient Data Privacy and Security in Sensor‐Cloud Infrastructure

Towards Smart Healthcare: Patient Data Privacy and Security in Sensor‐Cloud Infrastructure

Exploration of an Intelligent and Secure Wireless Body Area Networks for Health Monitoring

LEPA: A Lightweight and Efficient Public Auditing Scheme for Cloud-Assisted Wireless Body Sensor Networks

Contact Info

Product

Resources

About