Mishall Al-Zubaidie

Lecturer · Computer Science

University of Thi-Qar

Author

APID

2747

ORCID

0000-0002-3149-9129

Scopus

57207948798

Google Scholar

Mishall Al-Zubaidie

Location

Drayton, QLD, Australia

Expertise

Network Security for 14 years

Areas of interest

Network Security

Member since

August 2023

Biography

Mishall Al-Zubaidie received a bachelor’s degree in computer science from Basrah University, Iraq, in 2004, and a master’s degree in the security of the wireless network from Basrah University, Iraq, in 2010. He received his Ph.D. degree from the School of Agricultural, Computational and Environmental Sciences, Faculty of Health, Engineering, and Sciences, University of Southern Queensland, Australia in 2020. His current research interests are public-key algorithms, networks and communications security, WSN security, access control policies, authorising users in electronic health record (EHR), electronic medical record (EMR), and both security, the efficiency of the wireless sensor network of health systems and keys exchange/agreement algorithms in protecting patients’ data/information.

Publications

1. A perfect security key management method for hierarchical wireless sensor networks in medical environments
2. Applying Detection Leakage on Hybrid Cryptography to Secure Transaction Information in E-Commerce Apps
3. Efficient and secure ECDSA algorithm and its applications: A survey
4. Implication of lightweight and robust hash function to support key exchange in health sensor networks
5. Integrating Trustworthy Mechanisms to Support Data and Information Security in Health Sensors
6. PAX: Using Pseudonymization and Anonymization to Protect Patients' Identities and Data in the Healthcare System
7. RAMHU: A new robust lightweight scheme for mutual users authentication in healthcare applications
8. REISCH: Incorporating Lightweight and Reliable Algorithms into Healthcare Applications of WSNs
9. Transaction Security and Management of Blockchain-Based Smart Contracts in E-Banking-Employing Microsegmentation and Yellow Saddle Goatfish
10. Utilizing Trusted Lightweight Ciphers to Support Electronic-Commerce Transaction Cryptography