Data Privacy, Security, and Trust in New Technological Trends—2nd Edition

Dear Colleagues,

The integration of sensors into a wide variety of connected devices will enable the expansion of IoT, enabling more comprehensive data collection to improve automation and decision making. As a result, sensors on mobile devices will become smarter, using machine learning and artificial intelligence algorithms to improve efficiency in data collection and interpretation. Therefore, the use of Heterogeneous Networks like 6G will likely adopt a more integrated approach, combining ground, air, and space communications to create a more heterogeneous and comprehensive network. Thus, there is a need for more robust solutions related to the security of applications and systems in different contexts of use and processing. Therefore, it is necessary to implement and improve solutions that involve security and data encryption in a context not only of software but also hardware, whether in a mini-actualization scenario or in large servers for large-scale data processing, thus making data privacy management more extensive, whether for the user or for commercial or industrial solutions. With this, we invite authors with proposals for solutions that solve these open problems with news and scientific contributions for the readers of this Special Issue and for the scientific community.

Prof. Dr. Valderi R. Q. Leithardt
Guest Editor

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• blockchain
• communication protocols
• cryptographic algorithms
• cyberattacks
• cybersecurity
• data privacy and trust
• data security on drones
• knowledge on security and privacy
• hardware security
• data security in smart cities
• information context
• Internet of Things
• management data privacy and trust in cloud computing
• mechanism to protect mobile and IoT applications
• security in data science