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[交流] [SCI检索] Special issue for Security and Communication Networks

截稿日期:

2018年8月31日

https://www.hindawi.com/journals/scn/si/639483/cfp/

Security and Communication Networks

Special issue on Machine Learning for Wireless Multimedia Data Security

Call for Paper

With the rapid development of multimedia technologies, the collection and modification of wireless multimedia data have become greatly convenient and easy. Meanwhile, the wireless multimedia data also made sensitive information available to potential attackers. The credibility of digital wireless multimedia data has thus decreased if the wireless multimedia data cannot be well protected. In addition, the copyright and privacy of wireless multimedia data also are easy to be infringed. The data storage and computation, especially, have to be delegated to the powerful but always untrusted cloud, which has led to a series of challenging security and privacy threats.

Nowadays, artificial intelligence (AI) technology has been widely used in academia and industry. Machine learning can be regarded as one of the most important AI technologies, and it has been successfully used in image processing, pattern recognition, computer vision, natural language processing, and so on. Currently, the traditional steganography and security of encrypted wireless multimedia data face a lot of challenges; thus, new types of steganography and encryption of wireless multimedia data, including audio, image, and video, need to be explored urgently. Moreover, in a new environment like cloud computing, the distribution and processing of wireless multimedia data also face more new challenges. For example, how to securely process wireless multimedia data in cloud computing to preserve the privacy of wireless multimedia data, and how to reliably solve a multiparty computation by outsourcing are still open questions.

This special issue is intended for researchers and practitioners from academia as well as industry who are interested in issues that arise from using machine learning for wireless multimedia data security.

Potential topics include but are not limited to the following:

Machine learning for wireless multimedia data security
Machine learning for wireless multimedia data transmission security
Machine learning for reversible data hiding in plaintext or ciphertext multimedia
Machine learning for reliable computing and outsourcing of wireless multimedia data
Machine learning for threat detection of wireless multimedia data system
Machine learning for privacy protection of wireless multimedia data
Machine learning for wireless multimedia information hiding and fingerprinting
Machine learning for wireless multimedia authentication and encryption
Machine learning for wireless multimedia data copyright protection
Machine learning for wireless multimedia data watermarking
Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/scn/mlmds/.

Submission Deadline Friday, 31 August 2018
Publication Date January 2019
Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor

Zhaoqing Pan, Nanjing University of Information Science and Technology, Nanjing, China

Guest Editors

Ching-Nung Yang, National Dong Hwa University, Hualien, Taiwan
Victor S. Sheng, University of Central Arkansas, Conway, USA
Naixue Xiong, Northeastern State University, Tahlequah, USA
Weizhi Meng, Technical University of Denmark (DTU), Kongens Lyngby, Denmark

[ Last edited by zqpan3 on 2018-4-3 at 16:50 ]

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