Feature selection has become significantly important for data analysis. It selects the most
informative features describing the data to filter out the noise, complexity, and over-fitting …

The Internet of Battlefield Things (IoBT) refers to interconnected battlefield
equipment/sources for synchronized automated decision making. Due to difficulties unique …

Due to the extensive applicability of Location-Based Services (LBSs) and the Global
Navigation Satellite System (GNSS) failure in indoor environments, indoor positioning …

The pervasive integration of Indoor Positioning Systems (IPS) arises from the limitations of
Global Navigation Satellite Systems (GNSS) in indoor environments, leading to the …

Spatial density queries are fundamental in many geospatial data analysis and
crowdsourcing tasks. However, answering spatial density queries may violate users' privacy …

Two factors are crucial for the effective operation of modern-day smart services: Initially, IoT-
enabled technologies have to capture and combine huge amounts of data on data subjects …

Spatial decompositions are commonly used in the privacy literature for various purposes
such as range query answering, spatial indexing, count-of-counts histograms, data …

Abstract In recent years, Indoor Positioning Systems (IPS) have emerged as a critical
technology to enable a diverse range of Location-based Services (LBS) across different …

Crowdsensed Data Trading (CDT) solves the problem of data resource scarcity and
diversity, faced in conventional data trading by dispatching workers to perform data …

Location privacy poses a critical challenge as the use of mobile devices and location-based
services becomes more and more widespread. Proximity-detection data can reveal sensitive …