Healthguard: A machine learning-based security framework for smart healthcare systems
The integration of Internet-of-Things and pervasive computing in medical devices have
made the modern healthcare system “smart.” Today, the function of the healthcare system is …
made the modern healthcare system “smart.” Today, the function of the healthcare system is …
Aegis: A context-aware security framework for smart home systems
Our everyday lives are expanding fast with the introduction of new Smart Home Systems
(SHSs). Today, a myriad of SHS devices and applications are widely available to users and …
(SHSs). Today, a myriad of SHS devices and applications are widely available to users and …
Real-time analysis of privacy-(un) aware IoT applications
Users trust IoT apps to control and automate their smart devices. These apps necessarily
have access to sensitive data to implement their functionality. However, users lack visibility …
have access to sensitive data to implement their functionality. However, users lack visibility …
Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One
D Mohaisen, S Chen - … on Trust, Privacy and Security in …, 2019 - ieeexplore.ieee.org
Machine learning techniques are finding many applications in computer systems, including
many tasks that require decision making: network optimization, quality of service assurance …
many tasks that require decision making: network optimization, quality of service assurance …