Mobile devices have become an essential element in our day-to-day lives. The chances of
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …

With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

Introduction: Recently, the tendency of artificial intelligence (AI) and big data
use/applications has been rapidly expanding across the globe, improving people's lifestyles …

Large genomic datasets are created through numerous activities, including recreational
genealogical investigations, biomedical research, and clinical care. At the same time …

This work presents privacy-preserving surveillance system for smart cities based on
perceptual encryption algorithm (PE). The encryption is block-based and provides …

There has been an ongoing compulsion on health organizations to share data for analysis
purposes. The healthcare data includes patient behaviors & records, DNA, laboratory test …

Sharing Data Spaces in federated ecosystems can bring several advantages to companies
and administrations. However, data security, privacy, and ethics issues need to be properly …

Federated learning is a cutting-edge data solution that protects privacy as well as a fresh
machine learning model developed on collaborative data sets. A major concern privacy …

In an increasingly interconnected world, the convergence of power system networks and
biometric-based biomedical applications presents unique challenges for data protection and …

NLP has witnessed a remarkable improvement in applications, from voice assistants to
sentiment analysis and language translations. However, in this process, a huge amount of …