Digital Privacy and Security

Download Url(s)
https://mdpi.com/books/pdfview/book/10179Contributor(s)
Vasconcelos, José Braga de (editor)
Barbosa, Hugo (editor)
Cordeiro, Carla (editor)
Language
EnglishAbstract
Digital privacy and security have become central issues in the age of connectivity and artificial intelligence (AI). As the world increasingly adopts digital technologies, from mobile devices to healthcare systems and smart networks, including generative AI technologies, the challenges related to protecting personal data, ensuring network integrity, and resilience against cyber threats continue to grow. The intersection of public perception, human development, and digital risk significantly shapes how we address these challenges.This collection of works highlights the multiplicity of approaches and technological solutions being developed to tackle contemporary digital privacy and security challenges in the current AI era. From protecting personal information in healthcare systems to defending against cyber threats in critical networks, digital security is a constantly evolving field, shaped by both technological advances and human interaction with these new tools.
Keywords
online content labeling; fake news; trust; income level; party affiliation; online time; cyber–physical systems; digital forensics; cyber–physical systems forensics; machine learning; rule mining; security incident response; deceptive online content; age; education; gender; content labeling; efficacy; blockchain; privacy protection; data availability; zero knowledge accumulator; biometric technology; ear recognition systems; feature extraction; classification methods; convolutional neural network; restricted Boltzmann machine; Android privacy; Android security; wallet apps; emerging technologies and applications; multimedia content management; privacy and trust; cyberSOC outsourcing; holistic cybersecurity; public sector cyber-resilience; tactical-operational cybersecurity management; wide-scope cyberSOC; cybersecurity; Red and Blue Team; collaborative training; cybersecuritycompetitions; incident response; attack scenarios; artifact analysis; disk forensics; memory forensics; network forensics; social media forensics; artificial intelligence; digital health; emerging digital technologies; healthcare; telehealth; searchable symmetric encryption; electronic medical record; keyword search; range search; search over encrypted data; android applications; datasets; explainability; feature selection; malware detection; numerosity balancing; security; soft computing; supervised learning; fully homomorphic encryption; GPU parallel operations; secure computation on GPU; parallel FHE framework; secure string search using FHE; digital risk culture; risk society; technological capital; human development index; GCI; DESI; connected places; public perception; sustainabilityISBN
9783725825226, 9783725825219Publisher website
www.mdpi.com/booksPublication date and place
Basel, 2024Classification
Oncology

