IoT and big data applications in smart cities: recent advances, challenges, and critical issues

M Talebkhah, A Sali, M Marjani, M Gordan… - IEEE …, 2021 - ieeexplore.ieee.org
The notion of smart cities has remained under evolution as its global implementations are
challenged by numerous technological, economic, and governmental obstacles. Moreover …

Machine learning and blockchain technologies for cybersecurity in connected vehicles

J Ahmad, MU Zia, IH Naqvi, JN Chattha… - … : Data Mining and …, 2024 - Wiley Online Library
Future connected and autonomous vehicles (CAVs) must be secured against cyberattacks
for their everyday functions on the road so that safety of passengers and vehicles can be …

[HTML][HTML] Social network data analysis to highlight privacy threats in sharing data

F Cerruto, S Cirillo, D Desiato, SM Gambardella… - Journal of Big Data, 2022 - Springer
Social networks are a vast source of information, and they have been increasing impact on
people's daily lives. They permit us to share emotions, passions, and interactions with other …

A decision-support framework for data anonymization with application to machine learning processes

L Caruccio, D Desiato, G Polese, G Tortora… - Information …, 2022 - Elsevier
The application of machine learning techniques to large and distributed data archives might
result in the disclosure of sensitive information about the data subjects. Data often contain …

[HTML][HTML] Towards secure big data analysis via fully homomorphic encryption algorithms

R Hamza, A Hassan, A Ali, MB Bashir, SM Alqhtani… - Entropy, 2022 - mdpi.com
Privacy-preserving techniques allow private information to be used without compromising
privacy. Most encryption algorithms, such as the Advanced Encryption Standard (AES) …

AFPr-AM: A novel Fuzzy-AHP based privacy risk assessment model for strategic information management of social media platforms

MT Ahvanooey, MX Zhu, S Ou, HD Mazraeh… - Computers & …, 2023 - Elsevier
Abstract Social Media Platforms (SMPs) have changed how we communicate, share, and
obtain information. However, this also comes at a cost, as users (willingly) share their …

Privacy-Preserving and Secure Industrial Big Data Analytics: A Survey and the Research Framework

L Liu, J Li, J Lv, J Wang, S Zhao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The development of the Industrial Internet will generate a large amount of valuable data,
known as industrial big data (IBD). By mining and utilizing IBD, enterprises can improve …

[PDF][PDF] Privacy-preserving deep learning techniques for wearable sensor-based big data applications

R Hamza, D Minh-Son - Virtual Reality & Intelligent Hardware, 2022 - researchgate.net
Wearable technologies have the potential to become a valuable influence on human daily
life where they may enable observing the world in new ways, including, for example, using …

Systematic survey: secure and privacy-preserving big data analytics in cloud

A Amaithi Rajan, VV - Journal of Computer Information Systems, 2024 - Taylor & Francis
Massive data are being generated exponentially every day. Therefore, analytics over data is
inevitable nowadays to gain meaningful insights. Big Data Analytics (BDA) is powerful in …

[HTML][HTML] Multilevel privacy assurance evaluation of healthcare metadata

SA Sohail, FA Bukhsh, M van Keulen - Applied Sciences, 2021 - mdpi.com
Healthcare providers are legally bound to ensure the privacy preservation of healthcare
metadata. Usually, privacy concerning research focuses on providing technical and inter …