Evidence map›Paper›PMID 31280402›Full record

ArticleJournal of medical systems2019

A Rainbow-Based Authentical Scheme for Securing Smart Connected Health Systems.

Haibo Yi, Jianqiang Li, Qiuzhen Lin, Huihui Wang, Houbing Song, Zhong Ming, Zhe Nie

Abstract read
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In one paragraph

Article in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Haibo YiSchool of Computer Engineering, Shenzhen Polytechnic, Shenzhen, People's Republic of China.
Jianqiang LiCollege of Computer Science and Software Engineering, Shenzhen University, Shenzhen, People's Republic of China. lijq@szu.edu.cn.
Qiuzhen LinCollege of Computer Science and Software Engineering, Shenzhen University, Shenzhen, People's Republic of China.
Huihui WangDepartment of Engineering, Jacksonville University, Jacksonville, FL, 32211, USA.
Houbing SongDepartment of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, 32114, USA.
Zhong MingCollege of Computer Science and Software Engineering, Shenzhen University, Shenzhen, People's Republic of China.
Zhe NieSchool of Computer Engineering, Shenzhen Polytechnic, Shenzhen, People's Republic of China.

Funding

Foundation for Distinguished Young Talents in Higher Education of Guangdong, China No. 2017GkQNCX059Joint Funds of the National Natural Science Foundation of China under Key Program Grant No. U1713212Natural Science Foundation of Guangdong Province, China No. 2018A030310030Science and Technology Program of Shenzhen Polytechnic No. 601722K20018Shenzhen Science and Technology Program under Grant No. JCYJ20170306144219159Special funds for Shenzhen Strategic Emerging Industries and Future Industrial Development No. 20170502142224600
6 · The paper itself

Abstract

Smart Connected Health Systems (SCHSs) belong to health systems that provide services of health care remotely. They provide the doctors with access to electronic medical records with the aid of medical sensors, smart wearable devices and smart medical instruments. Although SCHSs have many applications in the area of health care, securing massive amount of valuable and sensitive data of the patients and preserving the privacy are challenging. User authentication based on public key cryptographic techniques is playing a crucial role in SCHSs for protecting the privacy of patients. However, quantum computers will break such techniques. Rainbow signature is one of the candidates of the next generation of cryptographic algorithms which can resist attacks on quantum computers. However, it is vulnerable to Differential Power Analysis (DPA) attacks, which is based on information gained from the cryptographic implementations. We present techniques to exploit the countermeasures to protect Rainbow against DPA attacks. We propose a variant of Rainbow with resistance to DPA attacks. First, we take a random vector to randomize the power consumption of private keys during computing the first affine transformation; Second, random variables are adopted during computing central map transformation; Third, we take two random vectors during computing the second affine transformation to randomize the power consumption of private keys. We analyze the efficiency and implement the scheme on hardware. Compared with the related implementations, our scheme is efficient and suitable for signature generations on hardware. Besides, we propose a secure authentical scheme based on the implementation for protecting record of patients in SCHSs.

Indexed as

Computer SecurityHealth Information SystemsSystems IntegrationAccess to InformationAlgorithmsRural Health ServicesAuthenticationDifferential power analysis (DPA)Multivariate cryptographyRainbowSmart connected health system (SCHS)

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.