Data Privacy Preservation Through CryptMDB
Shirsat Jyoti S.
, Raval Devangi M. , Vanjari Dipali H. , Patil Kajal A. , Prof. Bodkhe Balaji K.
MongoDB, Big Data, CryptDB, Software-Defined Networking, Trust Computation and Management, Data Base Security, Privacy Protection.
Dramatic increase in medical data made it to enter into era of big data, such a large volume of data need to be stored in such a way that it could be accessible to its authorized user by preserving confidentiality. Relational databases cannot address user's demands for fast data access and fast calculations because the data cannot be processed in distributed way. To overcome this problem, non-relational database such as MongoDB have been emerged up and been applied in various scenarios. In addition, the physiological data of a private square measure deeply touchy. Hence, security may be a foremost necessity of welfare applications, notably on account of patient protection, if the patient features a humbling unhealthiness. In this paper, we are focusing on the identification of attacker's in healthcare Software Defined Network’s (SDN). Based on this survey, we try to develop a trust based management system from which we figure out malicious devices in a healthcare environment and also proposes a practical encrypted MongoDB(i.e. CryptMDB). As CryptMDB achieves better efficiency than existing relational database in terms of data access and calculating. The principle commitment of this paper is to disperse patient’s data safely in various data server’s by the Paillier cryptosystems to perform measurable investigation on the patient data.
"Data Privacy Preservation Through CryptMDB ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.263 - 267, December-2018, Available :https://ijsdr.org/papers/IJSDR1812044.pdf
Volume 3
Issue 11,
December-2018
Pages : 263 - 267
Paper Reg. ID: IJSDR_180914
Published Paper Id: IJSDR1812044
Downloads: 000347196
Research Area: Engineering
Country: pune, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
