Modern internet-enabled devices and fast communication technologies have ushered in a revolution in sharing of digital images and video. This may be for social reasons or for commercial and industrial applications, where the data is more likely to include sensitive personal or confidential information. In any event, the shared imagery is intended only for the end-user. Attackers can steal this data or manipulate it for their own uses, causing financial and emotional damage to the owners. Many applications generate important information in the form of images and video, where efficient security is critical. This drives the need for advanced security solutions and the need to continuously develop and maintain security measures in an ever-evolving battle against fraud and malicious intent.
There are various techniques employed in protecting digital media and information, such as digital watermarking, cryptography, stenography, data encryption, etc., In addition, sharing platforms and connected nodes themselves may be open to vulnerabilities and can suffer from security breaches. This book reviews present state-of-the-art research related to the security of digital imagery and video, including developments in machine learning applications. It is particularly suited for those that bridge the academic world and industry, and allows readers to understand the security concerns in the multimedia domain by reviewing present and evolving security solutions, their limitations, and future research directions.
Key Features
- Latest trends in the multimedia security domain
- Includes Machine Learning for multimedia security
- Insight to different security concerns (attacks)
- Reviews present challenges & future opportunities
- Potential & promising solution to the security concerns
Series
Language
Place of publication
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
With figures in colour and black and white; 100 Illustrations
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 18 mm
Weight
ISBN-13
978-0-7503-3733-5 (9780750337335)
DOI
10.1088/978-0-7503-3735-9
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Irshad Ahmad Ansari has been working at Department of Electronics and Communication Engineering, at PDPM Indian Institute of Information Technology, Design, and Manufacturing (IIITDM) Jabalpur, India since 2017. He received B.Tech degree in Electronics and Communication Engineering from Gautam Buddha Technical University, Lucknow, India in 2010, M.Tech. Degree in Control and Instrumentation from Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India in 2012. He completed his Ph.D from IIT Roorkee with MHRD teaching assistantship and subsequently joined Gwangju Institute of Science and Technology, South Korea as a Postdoctoral fellow. His major research interest includes Image Processing, Signal Processing, Soft Computing, Brain-Computer Interface and Machine Learning. He is a Senior IEEE member. He has authored more than 32 research papers in various international journals and conferences.
Editor
ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior, India
Indian Institute of Information Technology, Jabalpur, India
Contributions
PDPM IIITDM JABALPUR
Shobhit University Gangoh
Department of Mathematics, Faculty of Science, Urmia University
Department of Chemical Engineering, School of Technology, Pandit Deendayal Petroleum University
Department of Information and Communication Technology,School of Technology, Pandit Deendayal Petroleum University
Department of Information and Communication Technology,School of Technology, Pandit Deendayal Petroleum University
Shanghai University
Shiraz University
