Detection and control of phishing attack in electronic medical record application

U. Aneesh Kini, M. Poornananda Bhat, Raghavendra Ganiga, Radhika M. Pai, M. M. Manohara Pai, H. C. Shiva Prasad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Advancement in Information and Communication Technology (I&CT) has wide applications in medical field. The patient record can be stored electronically instead of files. Electronic Medical Record (EMR) is a collection of application program that collects and stores the patient data in servers. Data are retrievable by patients or doctors from any part of the globe via the internet. The disadvantage is that several attacks are possible, and one such attack is the phishing attack. In phishing attack, the attacker replicates the original web application to collect data in an unauthorized way. This paper provides an insight into the phishing attack in an EMR and the possible ways to overcome the phishing attack. The solution is provided by role-based authentication that ensures only privileged users get access to the EMR, thereby preventing the threat of patient’s data misuse. The application is tested for a potential attack on the pre- and post-implementation scenarios.

Original languageEnglish
Title of host publicationAdvances in Electrical and Computer Technologies - Select Proceedings of ICAECT 2019
EditorsThangaprakash Sengodan, M. Murugappan, Sanjay Misra
PublisherSpringer Science and Business Media Deutschland GmbH
Pages975-985
Number of pages11
ISBN (Print)9789811555572
DOIs
Publication statusPublished - 2020
Event1st International Conference on Advances in Electrical and Computer Technologies, ICAECT 2019 - Coimbatore, India
Duration: 26-04-201927-04-2019

Publication series

NameLecture Notes in Electrical Engineering
Volume672
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference1st International Conference on Advances in Electrical and Computer Technologies, ICAECT 2019
CountryIndia
CityCoimbatore
Period26-04-1927-04-19

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • Cite this

    Aneesh Kini, U., Poornananda Bhat, M., Ganiga, R., Pai, R. M., Manohara Pai, M. M., & Shiva Prasad, H. C. (2020). Detection and control of phishing attack in electronic medical record application. In T. Sengodan, M. Murugappan, & S. Misra (Eds.), Advances in Electrical and Computer Technologies - Select Proceedings of ICAECT 2019 (pp. 975-985). (Lecture Notes in Electrical Engineering; Vol. 672). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5558-9_82