activity
20202025
most citedNPS-AntiClone: Identity Cloning Detection based on Non-Privacy-Sensitive User Profile Data

2 citations · 6 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2025

Data-driven Trust Bootstrapping for Mobile Edge Computing-based Industrial IoT Services

Prabath Abeysekara, Hai Dong

We propose a data-driven and context-aware approach to bootstrap trustworthiness of homogeneous Internet of Things (IoT) services in Mobile Edge Computing (MEC) based industrial Io…

cs.CY2024

Cloned Identity Detection in Social-Sensor Clouds based on Incomplete Profiles

Ahmed Alharbi, Hai Dong, Xun Yi +1

We propose a novel approach to effectively detect cloned identities of social-sensor cloud service providers (i.e. social media users) in the face of incomplete non-privacy-sensiti…

cs.LG2024★ 2 cited

Decentralised Traffic Incident Detection via Network Lasso

Qiyuan Zhu, A. K. Qin, Prabath Abeysekara +2

Traffic incident detection plays a key role in intelligent transportation systems, which has gained great attention in transport engineering. In the past, traditional machine learn…

cs.DC2022★ 2 cited

Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges

Prabath Abeysekara, Hai Dong, A. K. Qin

With the breakthroughs in Deep Learning, recent years have witnessed a massive surge in Artificial Intelligence applications and services. Meanwhile, the rapid advances in Mobile C…

cs.SI2021

Privacy-Aware Identity Cloning Detection based on Deep Forest

Ahmed Alharbi, Hai Dong, Xun Yi +1

We propose a novel method to detect identity cloning of social-sensor cloud service providers to prevent the detrimental outcomes caused by identity deception. This approach levera…

cs.SI2021★ 2 cited

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…

cs.DC2020

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…