Mahmoud Barhamgi, Claude Bernard Lyon 1 University, France (firstname.lastname@example.org)
Charith Perera, Cardiff University, UK (email@example.com)
Basel Katt, Norwegian University of Science and Technology, UK (firstname.lastname@example.org)
Advances in AI, mobile and Internet technologies have been progressively reshaping our lives over the past few years. Today, the applications of IoT and cyber-physical systems touch almost all aspects of our daily lives including healthcare (e.g. remote patient monitoring environments), leisure (e.g. smart entertainment spaces), and work (e.g. smart manufacturing, asset management). For many of us, social media has become the rule rather than the exception as the way to interact, socialize and exchange information. AI-powered systems have become a reality and started to affect our lives in important ways. These systems and services collect huge amounts of data about us and exploit it for various purposes that positively and negatively affect our lives. Even though most of these systems employ data and privacy protection mechanisms, data misuse incidents keep making the headlines.
In this new digital world, privacy of end users is becoming a fundamental aspect to consider when the system/service/ software is designed, implemented and operationalized. The user should be supported to understand how their data is collected, processed, analyzed, stored, accessed and kept safe. They should also be able to exert their fundamental rights (as specified in applicable data protection lows, e.g. GDPR, CCPA) such as controlling what is collected about them, when and where, for what purposes collected data can be exploited and the right to be forgotten. The users should also be provided with a transparent view into the system to verify, at any point of time, how their data is processed and exploited.
The goal of this special issue is to collect recent advances, innovations and practices in data, service and software engineering for building security and privacy protection systems, techniques and solutions that provide effective data and privacy protection for users and contribute to increase their trust in the cyberspace.
The topics of interest include, but are not limited to, the following:
- Privacy engineering for the cyberspace and its underlying services
- Privacy, trust and data protection in digital services
- Privacy by design for cyberspace services
- Bringing transparency to cyberspace services
- Privacy and data protection in service-oriented architectures
- Privacy and data protection in service-oriented applications
- Privacy in service selection, composition and execution
- Privacy and data protection in IoT services and applications
- Privacy and data protection in cyber-physical-social systems
- Models and techniques for involving the user in controlling her data
- User privacy and security requirements
- Privacy and security threats introduced by the human behaviour
- Decision support for informed data sharing
- Privacy in data analytics
- Privacy in Big Data frameworks and architectures
- Automated recognition of novel privacy threats
- Privacy preserving data integration
- Privacy risks assessment and visualization
- Innovative models to acquire the user consent
- Web services security and privacy
- Submission deadline: 15 February 2021
- First notification: 30 March 2021
- Revised version due: 30 April 2021
- Final notification: 15 May 2021
- Final submission (camera ready): 30 May 2021
The dates for publication and final decision on paper acceptance will be subject to the Editors-in-Chief and the Editorial Office.