ASPMI-2018: Advances in Security and Privacy of Multimodal Interfaces |
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The length of the articles should not exceed 8,000 words including references, and they must contain an abstract (150–200 words), names and affiliations of the authors. The articles must be formatted according to the J.UCS style (see http://www.jucs.org/jucs_info/submissions). The authors must also provide a signed copyright transfer statement.
List of Topics
- Access control, privacy protection, and secure communication in multimodal interfaces
- Advanced multimodal interfaces for security
- Authentication and authorization mechanisms using human behaviour data for man-machine interactions
- Biometric authentication systems and applications for assistive technologies, smart houses, etc.
- Cryptography and encryption techniques for human behaviour data
- Data privacy and security in physiologic & affective computing
- Gait-based authentication
- Human and social factors of security and privacy in man-machine interactions
- Identity management using physiological and behavioural characteristics
- Multimodal interfaces for secure sensitive applications in eHealth and mHealth
- Privacy, security, and trust in Body Area Networks (BANs)
- Privacy and security in Brain-Computer Interfaces (BCI)
- Privacy and security in emotionally intelligent dialog systems
- Security of natural user interfaces
- Security, privacy, and trustworthiness in AAL/ELE environments
- Security, reliability, and performance in biometrics systems
- User authentication in BCI
- Trust management for multimodal interfaces
- Voice biometrics for user authentication
Committees
Program Committee
- Robertas Damaševičius, Kaunas University of Technology, Lithuania
- Vicente Alarcon-Aquino, Universidad de las Américas Puebla, Mexico
- Ivan Ganchev, University of Limerick, Ireland / Plovdiv University “Paisii Hilendarski”, Bulgaria
- Wei Wei, Xi’an University of Technology, China
- Marcin Woźniak, Silesian University of Technology, Poland
Publication
ASPMI will be published as Special Issue of Journal of Universal Computer Science (J.UCS), http://www.jucs.org/ .
The 2014 impact factor of the journal is 0.466, the 5-year impact factor is 0.566.
Articles published in J.UCS are indexed and reviewed among others in:
- DBLP Computer Science Bibliography Server
- Web of Science (Thomson Reuters)
- Scopus
- MathSciNet and Mathematical Reviews
- Microsoft Academic Search
Contact
All questions about submissions should be emailed to robertas.damasevicius@ktu.lt