A privacy enforcing framework for data streams on the edge
Recent developments in machine learning (ML) allow for efficient data stream processing
and also help in meeting various privacy requirements. Traditionally, predefined privacy …
and also help in meeting various privacy requirements. Traditionally, predefined privacy …
Specification and operation of privacy models for data streams on the edge
The growing number of Internet of Things (IoT) devices generates massive amounts of
diverse data, including personal or confidential information (ie, sensory, images, etc.) that is …
diverse data, including personal or confidential information (ie, sensory, images, etc.) that is …
Using RSSI to Form Path in an Indoor Space
Generating paths of a mobile device in indoor space by sensing its Bluetooth RSSI value is
challenging but has real-world applications. Although Bluetooth RSSI suffers from different …
challenging but has real-world applications. Although Bluetooth RSSI suffers from different …
Path Forming of Healthcare Practitioners in an Indoor Space Using Mobile Crowdsensing
While there are numerous causes of waste in the healthcare system, some of this waste is
associated with inefficiency. Among the proposed solutions to address inefficiency is clinic …
associated with inefficiency. Among the proposed solutions to address inefficiency is clinic …
A Mobile App-Based Indoor Mobility Detection Approach Using Bluetooth Signal Strength
In an indoor space, determining a person's mobility patterns has research significance and
applicability in real-world scenarios. When mobility patterns are determined, layout …
applicability in real-world scenarios. When mobility patterns are determined, layout …