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Special Issue for APSIPA Transactions on Signal and Information Processing

Topic of the special issue:
Security and forensics in compression technology

Brief description:

Thanks to the wide penetration and adaptation of network enabled devices, various content can be easily captured, edited, and shared nowadays. However, users demand content with higher resolution and fidelity, as well as access to a wider variety of content. Therefore, coding and compression of content, especially multimedia content, remain as challenging tasks to serve today’s needs.

Sharing multimedia content over the Internet via social media and cloud storage environments has resulted in various privacy and security related issues. Although the conventional cryptographic techniques (standards) are fairly secure and robust, they are not readily deployable for the purpose of multimedia applications, where the contents are usually compressed. Moreover, encrypted contents do not reveal much information about themselves and hence the requirement in processing the encrypted contents are unknown. This results in a challenging scenario for the content administrator, especially for content stored in the cloud. In addition the amount of content generated, shared and stored online is increasing at a staggering rate. Furthermore, due to the availability of user-friendly yet powerful editing software as well as high computational power PCs at an affordable price, content is vulnerable to tampering, which compromises its integrity.

Therefore, the development needs for security and forensic as well as compression technology have intersected at a junction, where these seemingly unrelated disciplines should be researched and considered in a joint manner to cater for today’s needs and applications. This raises some new issues in signal and information processing, including:

  • How to provide security within a compression framework / standard?
  • How to validate the integrity of compressed content?
  • How to identify acquisition devices that produce a given multimedia content?
  • How to launch / counter non-traditional cryptographical attacks?
  • How to manage conflicting requirements such as encryption which removes redundancy and compression / data hiding that capitalizes on redundancy?
  • How to design a single framework for achieving compression, data hiding, and encryption?
  • Whether other key areas such as deep neural networks, big data, and compressed sensing can improve compression efficiency, or might they become threats to encryption and data hiding? 

This special issue aims to collect a global and comprehensive overview of the  state of the art and to present updated results in research frontiers, algorithm development and its applications in security, privacy, forensic, multimedia signal processing in the compressed / encrypted / compressed-and-encrypted domain, and unified frameworks for compression and security technologies.

The potential topics of interest include but not limited to:

1. Encryption in the compressed domain
2. Data hiding for content stored in the compressed / encrypted / compressed-and-encrypted domain
3. Theoretical models of compression and security / forensic for multimedia
4. Single frameworks incorporating compression, data hiding, and encryption 
5. Cryptanalysis and counter-measure of encrypted / compressed-and-encrypted content
6. Authentication for compressed / compressed-and-encrypted content
7. Tamper detection and counter-measure of compressed / compressed-and-encrypted multimedia content
8. Source identification for compressed / compressed-and-encrypted multimedia content
9. Privacy / forensic of multimedia content in social networking platform
10. Benchmark data set for compression / security / forensic
11. Low complexity signal processing techniques for compression / encryption / forensic / compression-and-encryption

Editor in Chief APSIPA T-SIP

Tatsuya Kawahara, Professor, School of Informatics, Kyoto University, Japan

Guest Editor(s) of the special issue:

KokSheik Wong, Monash University Malaysia, Malaysia
Xiangui Kang, Sun Yat-Sen University, China
Hitoshi Kiya, Tokyo Metropolitan University, Japan
Jiwu Huang, Shenzhen University, China

Tentative schedule of submission and publication:

Submission Deadline: 30 August 2018

Publication Date: March 2019

Papers are published upon acceptance, regardless of the Special Issue publication date.