Security for 5G and beyond
The development of the fifth generation (5G) wireless networks is gaining momentum to
connect almost all aspects of life through the network with much higher speed, very low …
connect almost all aspects of life through the network with much higher speed, very low …
Security and privacy in IoT using machine learning and blockchain: Threats and countermeasures
Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
Privacy enhancing technologies for solving the privacy-personalization paradox: Taxonomy and survey
Personal data are often collected and processed in a decentralized fashion, within different
contexts. For instance, with the emergence of distributed applications, several providers are …
contexts. For instance, with the emergence of distributed applications, several providers are …
Lightweight mutual authentication and privacy-preservation scheme for intelligent wearable devices in industrial-CPS
Industry 5.0 is the digitalization, automation, and data exchange of industrial processes that
involve artificial intelligence, industrial Internet of Things (IIoT), and industrial cyber-physical …
involve artificial intelligence, industrial Internet of Things (IIoT), and industrial cyber-physical …
Privacy-and utility-preserving textual analysis via calibrated multivariate perturbations
Accurately learning from user data while providing quantifiable privacy guarantees provides
an opportunity to build better ML models while maintaining user trust. This paper presents a …
an opportunity to build better ML models while maintaining user trust. This paper presents a …
Data protection in AI services: A survey
C Meurisch, M Mühlhäuser - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Advances in artificial intelligence (AI) have shaped today's user services, enabling
enhanced personalization and better support. As such AI-based services inevitably require …
enhanced personalization and better support. As such AI-based services inevitably require …
Privacy risk quantification in education data using Markov model
Abstract With Big Data revolution, the education sector is being reshaped. The current data‐
driven education system provides many opportunities to utilize the enormous amount of …
driven education system provides many opportunities to utilize the enormous amount of …
Preserving privacy in large language models: A survey on current threats and solutions
Large Language Models (LLMs) represent a significant advancement in artificial
intelligence, finding applications across various domains. However, their reliance on …
intelligence, finding applications across various domains. However, their reliance on …
Privacy-driven learning analytics
S Joksimović, R Marshall, T Rakotoarivelo… - Manage your own …, 2021 - Springer
Data privacy is a central theme in the global dialogue around the application of data science
in education. Despite the growing need, research organisations and private companies …
in education. Despite the growing need, research organisations and private companies …
How do people change their technology use in protest? understanding
Researchers and the media have become increasingly interested in protest users, or people
who change (protest use) or stop (protest non-use) their use of a company's products …
who change (protest use) or stop (protest non-use) their use of a company's products …