Current Technologies in Fairness, Transparency, Security and Safety: Methods, Applications and Challenges
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 3513
Special Issue Editors
Interests: machine learning; security; big data
Interests: machine learning
Special Issue Information
Dear Colleagues,
The use of smartphones and mobile devices has become a core part of our everyday life and work. In the same line, artificial intelligence and IoT have recently emerged as critical elements. These technologies have an increased presence in our lives, offering almost the same functionality as a personal computer, though also allowing access to critical information, like medical or financial information, location data, or if you ride a bike or drive a car. These technologies are critical holders and managers of our data, which is why it is so essential to ensure the fairness, transparency, security, and privacy of such devices, even more so in conflict situations (for example, regarding human rights violations and violence against women). The development and advancement of these technologies are of critical importance, and there is a great need for interdisciplinary research to cover all aspects of these challenges.
In this Special Issue, we welcome manuscripts of various types, such as empirical research articles (whatever the methodology used), literature reviews, reasoned comments, and justified argumentative essays, that contribute to advancing our understanding of the capacity of these technologies as well as the impact that they have. We want to evaluate the implications of the exponential increase in the use of technologies in society and the best practices to develop technology that has positive impacts on the community.
Dr. Borja Sanz
Dr. Iker Pastor López
Dr. María López Belloso
Guest Editors
Manuscript Submission Information
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Keywords
- Android, iOS, and Windows mobile security and privacy
- Secure mobile application development
- Smartphone device/hardware security/privacy
- Mobile and cloud application security
- Mobile and cloud user privacy
- Modeling, design, and testing secure mobile clouds
- Secure algorithms and methodologies for mobile cloud
- Secure and efficient private mobile cloud
- Mobile and cloud devices and application management
- Applications of mobile devices computing for smart cities, smart grids, and sensors
- Applications of mobile devices computing for engineering in general
- Applications of mobile devices computing for detecting human trafficking
- Applications of mobile devices computing for preventing violence against women
- Applications of mobile devices computing for human rights violations
- mobile and cloud
- security
- privacy
- interdisciplinary
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