A Time-Sensitive IoT Data Analysis Framework

A Data-as-a-Service Framework for IoT Big Data

Tracking Sensitive and Untrustworthy Data in IoT

The Internet of Things (IoT) produces and processes large amounts of data. Among these data, some must be protected and others must be carefully handled because they come from untrusted sources. Taint analysis techniques can be used to for marking data and for monitoring their propagation at run time, so to determine how they influence the rest of the computation. Starting from the specificatio...

IoT Architectural Framework: Connection and Integration Framework for IoT Systems

The proliferation of the Internet of Things (IoT) has since seen a growing interest in architectural design and adaptive frameworks to promote the connection between heterogeneous IoT devices and IoT systems. The most widely favoured software architecture in IoT is the Service Oriented Architecture (SOA), which aims to provide a loosely coupled systems to leverage the use and reuse of IoT servi...

Poster: An IoT Data Communication Framework for Authenticity and Integrity

Internet of Things has been widely applied in everyday life, ranging from transportation, healthcare, to smart homes. As most IoT devices carry constrained resource and limited storage capacity, sensing data need to be transmitted to and stored at resource-rich platforms, such as a cloud. IoT applications retrieve sensing data from the cloud for analysis and decision-making purposes. Ensuring t...

A framework for real-time Twitter data analysis

Twitter is a popular social network which allows millions of users to share their opinions on what happens all over the world. In this work we present a system for real-time Twitter data analysis in order to follow popular events from the user’s perspective. The method we propose extends and improves the Soft Frequent Pattern Mining (SFPM) algorithm by overcoming its limitations in dealing with...