A survey of machine and deep learning methods for privacy protection in the Internet of Things

E Rodríguez, B Otero, R Canal - Sensors, 2023 - mdpi.com
Recent advances in hardware and information technology have accelerated the proliferation
of smart and interconnected devices facilitating the rapid development of the Internet of …

A review of deep learning security and privacy defensive techniques

MI Tariq, NA Memon, S Ahmed… - Mobile Information …, 2020 - Wiley Online Library
In recent past years, Deep Learning presented an excellent performance in different areas
like image recognition, pattern matching, and even in cybersecurity. The Deep Learning has …

Privacy-preserving healthcare monitoring for IoT devices under edge computing

W Cao, W Shen, Z Zhang, J Qin - Computers & Security, 2023 - Elsevier
With the rapid development of the Internet of Things (IoT) technology, e-healthcare has
received extensive attention because it is able to provide real-time health status feedback for …

PrivacySignal: Privacy-preserving traffic signal control for intelligent transportation system

Z Ying, S Cao, X Liu, Z Ma, J Ma… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A new trend of using deep reinforcement learning for traffic signal control has become a
spotlight in the Intelligent Transportation System (ITS). However, the traditional intelligent …

Privacy-preserving outsourced speech recognition for smart IoT devices

Z Ma, Y Liu, X Liu, J Ma, F Li - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Most of the current intelligent Internet of Things (IoT) products take neural network-based
speech recognition as the standard human–machine interaction interface. However, the …

SecureAD: A secure video anomaly detection framework on convolutional neural network in edge computing environment

H Cheng, X Liu, H Wang, Y Fang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Anomaly detection offers a powerful approach to identifying unusual activities and
uncommon behaviors in real-world video scenes. At present, convolutional neural networks …

Data privacy preservation on the internet of things

J Sen, S Dasgupta - arxiv preprint arxiv:2304.00258, 2023 - arxiv.org
Recent developments in hardware and information technology have enabled the
emergence of billions of connected, intelligent devices around the world exchanging …

Privacy-preserving record linkage using local sensitive hash and private set intersection

A Adir, E Aharoni, N Drucker, E Kushnir… - … Conference on Applied …, 2022 - Springer
The amount of data stored in data repositories increases every year. This makes it
challenging to link records between different datasets across companies and even …

Privacy-preserving randomized controlled trials: A protocol for industry scale deployment

M Movahedi, BM Case, J Honaker, A Knox… - Proceedings of the …, 2021 - dl.acm.org
Randomized Controlled Trials, when feasible, give the strongest and most trustworthy
empirical measures of causal effects. They are the gold standard in many clinical, social …

Will Central Bank Digital Currencies (CBDC) and Blockchain Cryptocurrencies Coexist in the Post Quantum Era?

AI Weinberg, P Petratos, A Faccia - arxiv preprint arxiv:2411.06362, 2024 - arxiv.org
This paper explores the coexistence possibilities of Central Bank Digital Currencies
(CBDCs) and blockchain-based cryptocurrencies within a post-quantum computing …