Data Management

LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization

This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as buildings, regions, rooms. WiFi connectivity data consists of sporadic connections between devices and …

A Privacy-Enabled Platform for COVID-19 Applications

We present our experiences in adapting and deploying TIPPERS, a novel privacy-enabled IoT data collection and management system for smart spaces, to facilitate the monitoring of adherence to COVID-19 regulations in a university campus and a military …

Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy

This paper describes the collaborative effort between privacy and security researchers at nine different institutions along with researchers at the Naval Information Warfare Center to deploy, test, and demonstrate privacy-preserving technologies in …

Sieve: A Middleware Approach to Scalable Access Control for Database Management Systems

Current approaches for enforcing Fine Grained Access Control (FGAC) in DBMS do not scale to scenarios when the number of access control policies are in the order of thousands. This paper identifies such a use case in the context of emerging smart …

SmartBench: A Benchmark For Data Management In Smart Spaces

This paper proposes SmartBench, a benchmark focusing on queries resulting from (near) real-time applications and longer-term analysis of IoT data. SmartBench, derived from a deployed smart building monitoring system, is comprised of: 1) An extensible …

A Knowledge-Based Approach to Enhance Provision of Location-Based Services in Wireless Environments

Location-Based Services (LBS) are attracting a great interest with the fast expansion of mobile computing nowadays. These services use the user location to customize the offered information. However, most of those services are designed for specific …

SemIoTic

Facilitating the development of applications in IoT spaces

SHERLOCK

System for Heterogeneous mobilE Requests by Leveraging Ontological and Contextual Knowledge

TIPPERS

Testbed for IoT-based Privacy-Preserving PERvasive Spaces

IoT-Detective: Analyzing IoT Data Under Differential Privacy

The success of emerging IoT applications depends on integrating privacy protections into the IoT infrastructures to guard against privacy risks posed by sensor-based continuous monitoring of individuals and their activities. This demonstration adapts …