This page includes a collection of papers recommended for reading to those interested in studying Applications of Machine Learning in healthcare monitoring systems and Internet of Things (IoT) security.
- 2021 MDPI Sensors (IF = 3.576) A Framework for Malicious Traffic Detection in IoT Healthcare Environment
- 2021 MDPI Sensors (IF = 3.576) Identifying and Mitigating Phishing Attack Threats in IoT Use Cases Using a Threat Modelling Approach
- 2020 IEEE Conference Towards a Universal Features Set for IoT Botnet Attacks Detection
- 2020 IEEE Conference IoT DoS and DDoS Attack Detection using ResNet
- 2021 Elsevier CIBM (IF = 4.589) Comparison of machine learning techniques for the identification of human activities from inertial sensors available in a mobile device after the application of data imputation techniques
- 2019 IEEE Sensors Journal (IF = 3.301) Activity-aware fall detection and recognition based on wearable sensors
- 2019 Arxiv Efficient Machine Learning-based Elderly Fall Detection Algorithm
- 2018 ACM UbiComp'18 Elderly Assistance Using Wearable Sensors by Detecting Fall and Recognizing Fall Patterns
If you are interested to read more articles, please visit my Google Scholar Profile