[HTML][HTML] Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes

Y Shen, S Shen, Q Li, H Zhou, Z Wu, Y Qu - Digital Communications and …, 2023 - Elsevier
The fast proliferation of edge devices for the Internet of Things (IoT) has led to massive
volumes of data explosion. The generated data is collected and shared using edge-based …

A lightweight privacy-preserving data aggregation scheme for fog computing-enhanced IoT

R Lu, K Heung, AH Lashkari, AA Ghorbani - IEEE access, 2017 - ieeexplore.ieee.org
Fog computing-enhanced Internet of Things (IoT) has recently received considerable
attention, as the fog devices deployed at the network edge can not only provide low latency …

Privacy-preserving raw data collection without a trusted authority for IoT

YN Liu, YP Wang, XF Wang, Z Xia, JF Xu - Computer Networks, 2019 - Elsevier
With the rapid developments of IoT technologies, a large amount of real-time data is
collected and shared, having important impacts on many applications, such as business …

Fine-grained data access control with attribute-hiding policy for cloud-based IoT

J Hao, C Huang, J Ni, H Rong, M Xian, XS Shen - Computer Networks, 2019 - Elsevier
Ciphertext-policy attribute-based encryption (CP-ABE) is a promising approach to achieve
fine-grained access control over the outsourced data in Internet of Things (IoT). However, in …

QoS-aware personalized privacy with multipath TCP for industrial IoT: Analysis and design

SR Pokhrel, Y Qu, L Gao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
With the ensuing surge in data communication volume and the growing need for privacy
protection, limiting centralized data collection to the minimum required for specific tasks has …

Achieving incentive, security, and scalable privacy protection in mobile crowdsensing services

J Xiong, R Ma, L Chen, Y Tian, L Lin… - … and mobile computing, 2018 - Wiley Online Library
Mobile crowdsensing as a novel service schema of the Internet of Things (IoT) provides an
innovative way to implement ubiquitous social sensing. How to establish an effective …

Distributed data privacy preservation in IoT applications

J Du, C Jiang, E Gelenbe, L Xu, J Li… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Recently, the Internet of Things (IoT) has penetrated many aspects of the physical world to
realize different applications. Through IoT, these applications generate, exchange …

Achieving privacy-preserving multitask allocation for mobile crowdsensing

Y Zhang, Z Ying, CLP Chen - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In the mobile crowdsensing (MCS) with large-scale data collection and sharing
environments, since a growing number of applications need to exploit multisource sensing …

An incentive mechanism for privacy-preserving crowdsensing via deep reinforcement learning

Y Liu, H Wang, M Peng, J Guan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and
computing capabilities increases dramatically, paving the way toward an emerging …

RNN-DP: A new differential privacy scheme base on Recurrent Neural Network for Dynamic trajectory privacy protection

S Chen, A Fu, J Shen, S Yu, H Wang, H Sun - Journal of Network and …, 2020 - Elsevier
Mobile devices furnish users with various services while on the move, but also raise public
concerns about trajectory privacy. Unfortunately, traditional privacy protection methods, such …