MDNS 2020 - The International Workshop on Multimedia Data and Networks Security (MDNS2020)
Topics/Call fo Papers
Multimedia data and Multimedia communication are core parts of multiple areas in today’s society including politics, economics, industries, militaries, and entertainment. For that reason, one of the most challenging security tasks these days is to secure multimedia data by providing confidentiality, integrity, and identity or ownership. Piracy should also be prevented. Techniques such as digital watermarking, data encryption, multimedia authentication, and digital rights management, among others, are proposed to address the security problems but still facing many challenges due the special characteristics of the multimedia data. The International Workshop on Multimedia Data and Networks Security (MDNS) aims to bring together researchers from academia and industry and give them the opportunity to present their contributions to the field. We solicit papers covering various topics in the field that include but are not limited to the following:
Efficient multimedia data encryption
Multimedia streaming security
Mobile multimedia systems security
Multimedia data forensics
Technologies for Multimedia data piracy prevention
Multimedia data ownership
Blockchain for multimedia applications
Multimedia communication security
Video surveillance systems security
AI for multimedia security
Efficient multimedia data encryption
Multimedia streaming security
Mobile multimedia systems security
Multimedia data forensics
Technologies for Multimedia data piracy prevention
Multimedia data ownership
Blockchain for multimedia applications
Multimedia communication security
Video surveillance systems security
AI for multimedia security
Other CFPs
- The Internet of Multimedia Things, Communications, Applications, and Security (IoMT-CAS2020)
- International Workshop on Digital Medical Image Processing and Applications (DMIPA2020)
- International Conference on Intelligent Data Science Technologies and Applications (IDSTA2020)
- Third IEEE International Workshop on Deep and Transfer Learning (DTL2020)
- 9th International Conference on Computer Engineering & Mathematical Sciences ICCEMS 2020
Last modified: 2020-10-04 11:40:04