Special Issue "Cloud-Based Biometrics for Smart Cities"
A special issue of Smart Cities (ISSN 2624-6511). This special issue belongs to the section "Cloud Computing".
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 679
Special Issue Editors
Interests: pattern recognition; biometrics; image processing; financial forecasting; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; deep learning; information security; financial forecasting; blockchain; smart contracts
Special Issues, Collections and Topics in MDPI journals
Interests: human-computer interaction; persuasive computing; recommender systems; machine learning; deep neural networks; time series
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, biometric systems applied in Cloud contexts is consolidating as a safe, ubiquitous and advanced user oriented service protection paradigm. Given this wide nature, these solutions are considered very suitable for application in Smart Cities environment. The main objective of Smart Cities is improving the daily life of the citizens. This can be done by providing ad hoc and user centered services, from customized advertising to urban traffic live information and pedestrian security. In order to provide such services, it is important to gather and analyse the most of data available in the environment, by designing ad-hoc cloud solutions, such to offer information about the three factors that may serve as basis for specific services: user, context and actions. User informations can be obtained by recognizing a subject by means of his/her discriminative biometric data, and also by studying the citizens’ habits. Actions informations can be obtained by analyzing the movement of the subject and his/her relationships with the surrounding environment and/or other users. Finally, the context gives insights about the meaning of the actions which may be verticalized within an environment or a relationship. This issue aims at gathering works which proposes systems for Smart Cities of enhancements in technologies for gathering, analyzing and protecting user and environmental data.
Dr. Silvio Barra
Dr. Alessandro Sebastian Podda
Prof. Dr. Salvatore Carta
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Smart Cities is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Cloud-based Architecture for Biometric Systems in Smart Cities
- Cloud-based Communication Protocols for Biometrics
- Biometric Security and Privacy Policy
- Biometric Access Control of Cloud Data
- Biometrics-as-a-Service solutions
- Biometric Fusion in the Cloud
- Biometric Cryptograpy and Encryption in Cloud Computing
- Biometric recognition in Smart Cities
- Cloud Based approaches for Biometrics
- Gait Analysis and Recognition
- Pattern Recognition in Smart Cities
- Context Awareness Systems for Smart Cities
- Pedestrian and Crowd analysis
- Accident Detection and Road Traffic Analysis