@inproceedings{scholars9658,
             doi = {10.1109/ICIAS.2018.8540586},
           title = {Biomedical Data Privacy Enhancement Architecture Based on Multi-Keyword Search Technique},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
            note = {cited By 1; Conference of 7th International Conference on Intelligent and Advanced System, ICIAS 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:143005},
         journal = {International Conference on Intelligent and Advanced System, ICIAS 2018},
            year = {2018},
        abstract = {The Collaborative healthcare cloud environment offers potential benefits, including cost reduction and improvising the healthcare quality delivered to patients. Though, such scenarios experiences substantial challenges in case of the privacy and security of the exceptionally sensitive information contained in Electronic Health Records (EHRs). Through this paper, a Hierarchical tree-based architecture is proposed. The work is based upon multi-keyword search technique which incorporates secure search using stemming and lemmatization algorithms to improve the process efficiency and privacy detailing. It helps biomedical departments and patients to connect easily and process their queries without any intruder's intervention. Furthermore, performance of the proposed solution is empirically indorsed through the simulation experiments. {\^A}{\copyright} 2018 IEEE.},
        keywords = {Cloud computing; Cost reduction; Data privacy; Fog computing; Information analysis; Infrared imaging; Natural language processing systems; Patient treatment; Ultrasonic applications; Ultrasonics, Biomedical systems; Collaborative health care; EHRs; Electronic health record (EHRs); Lemmatization algorithms; Multi keywords; Privacy and security; Sensitive informations, Search engines},
          author = {Singh, N. and Lakhina, U. and Elamvazuthi, I. and Jangra, A. and Singh, A. K.},
            isbn = {9781538672693},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059758109&doi=10.1109\%2fICIAS.2018.8540586&partnerID=40&md5=934913448996049a3a0f42181ade2769}
}