Haroon Elahi
Guangzhou University
22 Papers
45 Citations
Haroon Elahi is an academic researcher from Guangzhou University. The author has contributed to research in topics: Android (operating system) & Computer science. The author has an hindex of 4, co-authored 17 publications.
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Papers
A human-centered artificial intelligence approach for privacy protection of elderly App users in smart cities
TL;DR: A Human-Centered Artificial Intelligence inspired approach that uses privacy as a shared responsibility model instead of the privacy self-management model to improve the privacy protection of Ambient Assisted Living App users in smart cities and relieve them through cognitive offloading.
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A blockchain-based trustworthy collaborative power trading scheme for 5G-enabled social internet of vehicles
TL;DR: In this paper , the authors proposed a blockchain-based trustworthy collaborative power trading scheme for 5G-enabled social vehicular networks that uses a distributed market mechanism to introduce trusted power trading and avoids the dependence on a centralized dispatch center.
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A Blockchain-Based Model Migration Approach for Secure and Sustainable Federated Learning in IoT Systems
TL;DR: Wang et al. as mentioned in this paper proposed a blockchain-based model migration approach for resource-constrained IoT systems, which aims to achieve secure model migration and speed up model training while minimizing computation cost.
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Pleasure or pain? An evaluation of the costs and utilities of bloatware applications in android smartphones
TL;DR: The number and abilities of smartphone bloatware applications need to be constrained proportionally to their practical utilities for their users, and they must conform to security and privacy requirements for trustworthy systems.
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Assessing privacy behaviors of smartphone users in the context of data over-collection problem: An exploratory study
Haroon Elahi,Guojun Wang,Dongqing Xie +2 more
- 01 Aug 2017
TL;DR: An exploratory study to assess privacy behaviors of smartphone users in Pakistan in the context of data over-collection problem, which explored perceived data-sensitivity, privacy awareness, basic privacy management skills, and general privacy attitudes of the target user group.
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