Monthly Archives: November 2017

Towards Context Classification and Reasoning in IoT

Internet of Things (IoT) is the future of ubiquitous and personalized intelligent service delivery. It consists of interconnected, addressable and communicating everyday objects. To realize the full potentials of this new generation of ubiquitous systems, IoT's `smart' objects should be supported with intelligent platforms for data acquisition, pre-processing, classification, modeling, reasoning and inference including distribution. [...]

By | November 21st, 2017|Publications|0 Comments

Together or Alone: Detecting Group Mobility with Wireless Fingerprints

This paper proposes a novel approach for detecting groups of people that walk “together” (group mobility) as well as the people who walk “alone” (individual movements) using wireless signals. We exploit multiple wireless sniffers to pervasively collect human mobility data from people with mobile devices and identify similarities and the group mobility based on the [...]

By | November 21st, 2017|Publications|0 Comments

Crowd behaviour analytics focuses on behavioural characteristics of groups of people instead of individuals’ activities. This work considers human queuing behaviour which is a specific crowd behaviour of groups. We design a plug-and-play system solution to the queue detection problem based on Wi-Fi/Bluetooth Low Energy (BLE) received signal strength indicators (RSSIs) captured by multiple signal [...]

By | November 21st, 2017|Publications|0 Comments

Analysis of Security Standardisation for the Internet of Thing

  Recently, Internet of Things (IoT)-related studies actively being conducted in various fields. Like conventional network system, IoT can also be a target for security attacks. With these problems for IoT security being magnified, many researchers are studying and developing countermeasures. Although a lot of companies launch products and services, they do not know how [...]

By | November 21st, 2017|Publications|0 Comments

Secure IoT Platform for Industrial Control Systems

Supervisory control and data acquisition (SCADA) systems, are part of industrial control system (ICS), have been playing crucial roles in real-time industrial automation and controls. Through the evolution of 3rd generation, or networks based system, SCADA systems are connected to almost types of networks such as wired, wireless, and cellular and satellite communication, but security [...]

By | November 21st, 2017|Publications|0 Comments

Security Requirement Analysis for the IoT

  Due to the rapid growth of network infrastructure and sensor, the age of the IoT (internet of things) that can be implemented into the smart car, smart home, smart building, and smart city is coming. IoT is a very useful ecosystem that provides various services (e.g., amazon echo); however, at the same time, risk [...]

By | November 21st, 2017|Publications|0 Comments

Flexible Internet-of-Things Platform using Docker

It is common for Internet of Things (IoT) devices to behave as client and servers. As IoT devices require various features based on their roles in a service, IoT manufacturers are facing difficulties in composing various IoT features in a device. Containers are helpful to IoT devices managing required features and orchestrating its behavior through [...]

By | November 21st, 2017|Publications|0 Comments

Hairspring: Online graph processing middleware for temporal networks

The researches of temporal graph have been conducted in interdisciplinary fields and applied to various kinds of networks; online social network, cell biology network, neural network, ecological network, etc. However, processing and understanding the networks would be complicated for application developers due to their high velocity and volume. Also, the heterogeneity of the networks incurs [...]

By | November 21st, 2017|Publications|0 Comments

A Workload Prediction Approach using Models Stacking based on Recurrent Neural Network and Autoencoder

Workload prediction in computing systems like Cloud and Grid is an essential prerequisite for successful load balancing and achieving service-level agreements. However, since workloads in different systems and architectures have varied characteristics, providing an accurate single prediction model can be very challenging. Therefore, in this paper we have designed and implemented a model of stacking [...]

By | November 21st, 2017|Publications|0 Comments

The Privacy Exposure Problem in Mobile Location-based Services

Mobile location-based services (LBSs) empowered by mobile crowdsourcing provide users with context- aware intelligent services based on user locations. As smartphones are capable of collecting and disseminating massive user location-embedded sensing information, privacy preservation for mobile users has become a crucial issue. This paper proposes a metric called privacy exposure to quantify the notion of [...]

By | November 21st, 2017|Publications|0 Comments