Evidence map›Paper›PMID 31264005›Full record

ArticleJournal of medical systems2019

Data Access Control and Secured Data Sharing Approach for Health Care Data in Cloud Environment.

A Pugazhenthi, D Chitra

Abstract read
PubMed Publisher
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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

2 authors.

A PugazhenthiDepartment of Computer Science and Engineering, P. A. College of Engineering and Technology, Pollachi, India. pugal268@gmail.com.
D ChitraDepartment of Computer Science and Engineering, P. A. College of Engineering and Technology, Pollachi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the vital hitches in today's world of research is ensuring the security of the Cloud. This security can be ensured by inventing new techniques that may possibly help in safeguarding and assuring the optimal status of information in the cloud. Contents that are stored in the Cloud are majorly affected by the attempts made by illegitimate sources that are trying to access it. The security level of the contents that are stored in the cloud can be guaranteed by focusing on a task that helps in both securing and verifying the data. In order to manage the security level, (SE-KAC) which is also known as Scalable and Enhanced Key-Aggregate Cryptosystem was initiated in current research method. But this method of securing and sharing secret keys cannot be used in the stage of decryption. However this problem can be resolved in proposed method since it introduces sharing of the data securely using a method called Improved Diffie Hellman Key Exchange Algorithm (IDHKE). By introducing the Improved Diffie Hellman Key Exchange Algorithm, securely sharing the secret keys to the receivers of the data has been achieved. The secret key details can be exchanged securely using this method. By this means it makes sure its affirmations. Here the key is safely generated using one random prime number, a master secret key and parameter value. Intended for the secured and consistent access control limitation, an encryption which is attribute-based is used. The proposed method thus ensures the protected data transmission with exact and trustworthy validation.

Indexed as

Access to InformationCloud ComputingComputer SecurityAlgorithmsInformation DisseminationInformation Storage and RetrievalAccess controlAccess policy limitationCloud securityEncryptionSecured key sharing

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.