Modelling LSUTE: PKE Schemes for Safeguarding Electronic Healthcare Records Over Cloud Communication Environment

• Published in: Wireless personal communications Vol. 117; no. 4; pp. 2695 - 2711
• Main Authors: Preethi, P., Asokan, R.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-04-2021; Springer Nature B.V
• Subjects: Algorithms; Coders; Coding; Communications Engineering; Computer Communication Networks; Confidentiality; Decision trees; Decoding; Electronic health records; Engineering; Health care; Information storage; Keywords; Networks; Queries; Run time (computers); Safety; Signal,Image and Speech Processing; Encoding schemes; Healthcare documents; Keywords; Confidentiality; Verified users; LSUTE; Cloud environment; PKE
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-019-06932-8

Presently offering safety to the information stored in a cloud environment is a crucial and demanding process. For fulfilling various confidentiality safeguarding and encoding schemes several schemes are modelled but they comprise setbacks such as increased cost, increased time and poor safety levels. For addressing the setbacks the goal is to model a fresh scheme termed as layer screened unsigned tree based encoding (LSUTE) and position based keyword enquiry for offering confidentiality to the information stored into the cloud environment. Here the confidentiality is offered to the healthcare-related information uploaded into the electronic healthcare comprising two components for safeguarding the information storage and position based keyword exploration. Initially, the healthcare documents from the physician and lab technicians are stored in an encoded manner employing the modelled LSUTE scheme where only the trusted and verified individual can make use of the healthcare reports. Followed by which the position based exploration is performed based on the keyword and queries. A method based on decision trees is proposed to selectively decide whether to test all inter modes. The key merit is offering improved confidentiality to the healthcare information in a safe manner. The outcomes of the analyses reveal that the performance of the modelled schemes in terms of assessment cost, transmission cost, assessing queries, time of encoding, time of decoding and query reply time with negligible impact on coding efficiency. Therefore, algorithm to reduce the encoder run time with limited effects on the standard coding efficiency is implemented.