Survey of Mobile Cloud Computing Security and Privacy Issues in Healthcare

Authors

  • Rabab M. Nabawy Fayoum University
  • Mohamed Hassan-Ibrahim Fayoum University
  • Mostafa Rabee-Kaseb Fayoum University

DOI:

https://doi.org/10.13053/cys-28-3-4596

Keywords:

Cloud computing, internet of things (IoT), geographical positioning system (GPS), security, privacy

Abstract

Wireless positioning is regarded as an essential research direction across various domains. There are several wireless positioning algorithms available, with two-step positioning methods being the most significant. In order to increase positioning accuracy and efficiency, standard two-step positioning algorithms extract measurement data from the received signal, such as angles of arrival (AOA), times of arrival (TOA), and time differences of arrival (TDOA). The omnipresent healthcare system can benefit from the effective solutions offered by wireless sensor networks. A key element of the healthcare system of the future is the wireless sensor network. Cloud computing (CC), fog computing (FC), Internet of Things (IoT), and telehealthcare technologies are utilized in the healthcare industry to facilitate data sharing across diverse stakeholders. Healthcare data infringement might result from an unsafe healthcare method, giving hackers complete access to patient email addresses, messages, and reports. On the other hand, a secure method for healthcare 4.0 can raise stakeholder, patient, and caregiver satisfaction. These facts serve as the foundation for this study, which offers an extensive literature evaluation of several security issues and privacy-related healthcare concerns. Challenges and future research directions for achieving security and privacy in healthcare will be presented.

Author Biographies

Rabab M. Nabawy, Fayoum University

I am Rabab, I have been graduated from Faculty of Science, Computer Science Department, I Got a Master Degree in Computer Science from Faculty of Computers and Information Menoufia University 2020. I registered as PhD Student in Faculty of Computers and Artificial Intelligent Fayoum University, also I am a member in Big Data Research Group Fayoum University.I am working as Lecturer Assistant in October 6th University ,Faculty of Information System and Computers ,Computer Science departement

Mohamed Hassan-Ibrahim, Fayoum University

Dr. Mohamed has experienced +25 years of managing mega projects. he worked as CIO in Cloud11 Google recommended partner in Egypt, his role was aligning large companies with large-scale google products and advising enterprises with the best services that fit their needs. He left Google as CTO. Mohamed was the manager of the IS department at Fayoum University for years. The department has 50+ developers and testers. It was responsible for all electronic transactions in the university. Mohamed has large experience in medical applications from the point of view of data science. He has had many consultations on many large projects in different domains in his practical life. He is now leading the data science institute DSI in CORELIA, a France company owned by RICOH located in Egypt. Has deep knowledge of the information technology market he built and managed many large-scale projects. He is ITIL, and COBIT5 certified. IS master's AI degree. Ph.D. Holder in AI

Mostafa Rabee-Kaseb, Fayoum University

MOSTAFA R. KASEB is the Assistant Dean for Education and Students Affairs of the Faculty of Computers and Information, Fayoum University, Egypt. Mostafa is a Member of Big Data Research Group in Fayoum University. Researcher in In- ternational Project with Western of England Uni- versity (Newton-Mosharfa). Mostafa received his B.Sc. degree in Electronics and Communications Engineering from Faculty of Engineering, Fayoum University in 2006. He received his M.Sc and Ph.Din Computer Engineering from Electronics, Communications and Computer Engineering Department, Faculty of Engineering, Helwan University in 2011 and 2019 respectively. His research interests are parallel and distributed systems, parallel processing, grid computing, Cloud computing, database, parallel programming, business process management, and Big Data analysis.

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Published

2024-09-12

Issue

Vol. 28 No. 3 (2024): 28(3) 2024

Section

Articles

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