Blar i NTNU Open på forfatter "Fauzi, Muhammad Ali"
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Artificial Intelligence–Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study
Yeng, Prosper; Nweke, Livinus Obiora; Yang, Bian; Fauzi, Muhammad Ali; Snekkenes, Einar Arthur (Peer reviewed; Journal article, 2021)Background: Blocklisting malicious activities in health care is challenging in relation to access control in health care security practices due to the fear of preventing legitimate access for therapeutic reasons. Inadvertent ... -
Assessing the Legal Aspects of Information Security Requirements for Health Care in 3 Countries: Scoping Review and Framework Development
Yeng, Prosper; Fauzi, Muhammad Ali; Sun, Luyi; Yang, Bian (Peer reviewed; Journal article, 2022)Background: The loss of human lives from cyberattacks in health care is no longer a probabilistic quantification but a reality that has begun. In addition, the threat scope is also expanding to involve a threat of national ... -
Audiouth: Multi-factor Authentication Based on Audio Signal
Fauzi, Muhammad Ali; Yang, Bian (Chapter, 2020)Despite its popularity, password-based authentication has several crucial security problems. The multi-factor authentication system has risen as a popular alternative method to improve password security by applying additional ... -
Comparative Analysis between Individual, Centralized, and Federated Learning for Smartwatch Based Stress Detection
Fauzi, Muhammad Ali; Yang, Bian; Blobel, Bernd (Peer reviewed; Journal article, 2022)Machine learning has been proven to provide good performances on stress detection tasks using multi-modal sensor data from a smartwatch. Generally, machine learning techniques need a sufficient amount of data to train a ... -
A Comprehensive Assessment of Human Factors in Cyber Security Compliance toward Enhancing the Security Practice of Healthcare Staff in Paperless Hospitals
Yeng, Prosper; Fauzi, Muhammad Ali; Yang, Bian (Peer reviewed; Journal article, 2022)Recent reports indicate that over 85% of data breaches are still caused by a human element, of which healthcare is one of the organizations that cyber criminals target. As healthcare IT infrastructure is characterized by ... -
Continuous Stress Detection of Hospital Staff Using Smartwatch Sensors and Classifier Ensemble
Fauzi, Muhammad Ali; Yang, Bian (Chapter, 2021)High stress levels among hospital workers could be harmful to both workers and the institution. Enabling the workers to monitor their stress level has many advantages. Knowing their own stress level can help them to stay ... -
Determining the age and gender of an individual based on text classification - Comparing two binary classifications with one 4-class classification
Kløvvik, Emiil (Master thesis, 2021)Alder og kjønndeteksjon er en av verktøyene som kan brukes for å sørge for en form for sikkerhet i chatterom. Ved å finne riktig aldersgruppe på en bruker ved hjelp av teksten den har skrevet, kan denne studien beskytte ... -
The Impact of Stress on Healthcare Staffs’ Cybersecurity Practices
Fauzi, Muhammad Ali (Doctoral theses at NTNU;2023:285, Doctoral thesis, 2023)Digitalization has revolutionized the healthcare industry, offering numerous advantages. However, it has also introduced the risk of data breaches through cyber-attacks. Healthcare information systems, containing valuable ... -
Investigation into Phishing Risk Behaviour among Healthcare Staff
Yeng, Prosper; Fauzi, Muhammad Ali; Yang, Bian; Nimbe, Peter (Peer reviewed; Journal article, 2022)A phishing attack is one of the less complicated ways to circumvent sophisticated technical security measures. It is often used to exploit psychological (as as well as other) factors of human users to succeed in social ... -
PassGAN for Honeywords: Evaluating the Defender and the Attacker Strategies
Fauzi, Muhammad Ali; Yang, Bian; Martiri, Edlira (Chapter, 2020)The main challenge in a honeywords system is how to generate artificial passwords (honeywords) that are indistinguishable from the genuine password (sugarword). It is straightforward to consider the PassGAN for generating ... -
Password Guessing-Based Legacy-UI Honeywords Generation Strategies for Achieving Flatness
Fauzi, Muhammad Ali; Yang, Bian; Martiri, Edlira (Chapter, 2020)The legacy-UI honeywords generation approach is more favored due to its high usability compared to the modified-UI approach that sometimes becomes unusable in practice. However, several prior arts on legacy-UI based ...