30 citations · 48 across the 10 of their papers we have counts for
10 papers
FEDQ-Trust: Efficient Data-Driven Trust Prediction for Mobile Edge-Based IoT Systems
Jiahui Bai, Hai Dong, Athman Bouguettaya
We introduce FEDQ-Trust, an innovative data-driven trust prediction approach designed for mobile edge-based Internet of Things (IoT) environments. The decentralized nature of mobil…
NPS-AntiClone: Identity Cloning Detection based on Non-Privacy-Sensitive User Profile Data
Ahmed Alharbi, Hai Dong, Xun Yi +1
Social sensing is a paradigm that allows crowdsourcing data from humans and devices. This sensed data (e.g. social network posts) can be hosted in social-sensor clouds (i.e. social…
Conflict Detection in IoT-based Smart Homes
Bing Huang, Hai Dong, Athman Bouguettaya
We propose a novel framework that detects conflicts in IoT-based smart homes. Conflicts may arise during interactions between the resident and IoT services in smart homes. We propo…
Social Media Identity Deception Detection: A Survey
Ahmed Alharbi, Hai Dong, Xun Yi +2
Social media have been growing rapidly and become essential elements of many people's lives. Meanwhile, social media have also come to be a popular source for identity deception. M…
Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction
Tooba Aamir, Hai Dong, Athman Bouguettaya
We propose a heuristics-based social-sensor cloud service selection and composition model to reconstruct mosaic scenes. The proposed approach leverages crowdsourced social media im…
Subjective Metrics-based Cloud Market Performance Prediction
Ahmed Alharbi, Hai Dong
This paper explores an effective machine learning approach to predict cloud market performance for cloud consumers, providers and investors based on social media. We identified a s…
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments
Prabath Abeysekara, Hai Dong, A. K. Qin
Predictive analytics in Mobile Edge Computing (MEC) based Internet of Things (IoT) is becoming a high demand in many real-world applications. A prediction problem in an MEC-based I…
Service mining for Internet of Things
Bing Huang, Athman Bouguettaya
A service mining framework is proposed that enables discovering interesting relationships in Internet of Things services bottom-up. The service relationships are modeled based on s…
Enabling Edge Cloud Intelligence for Activity Learning in Smart Home
Bing Huang, Athman Bouguettaya, Hai Dong
We propose a novel activity learning framework based on Edge Cloud architecture for the purpose of recognizing and predicting human activities. Although activity recognition has be…
Social-Sensor Composition for Tapestry Scenes
Tooba Aamir, Hai Dong, Athman Bouguettaya
The extensive use of social media platforms and overwhelming amounts of imagery data creates unique opportunities for sensing, gathering and sharing information about events. One o…