I-Marks: An iris code embedding system for ownership identification of multimedia content

Abstract The owner of a work of multimedia content can be uniquely identified by embedding useful data into it. Here, we present a tool which can be used for embedding human biometrics data in multimedia content. Human biometrics are considered unique and cannot be changed unless damaged. Such biometrics can be used as a watermark to determine the exact ownership of a multimedia piece. We used the iris in the human eye for watermark creation. A usable code is generated from the iris known as iriscode. As this structure is specific to each individual, its use allows unique ownership identity of multimedia content.

[1]  M. E. Student,et al.  A BRIEF SURVEY ON DIGITAL IMAGE WATERMARKING TECHNIQUES , 2014 .

[2]  Syed Hassan Ahmed,et al.  Multimedia security in laboratory system based on cloud platform , 2016, J. Intell. Fuzzy Syst..

[3]  Burak Kantarci,et al.  Multimedia recommendation and transmission system based on cloud platform , 2017, Future Gener. Comput. Syst..

[4]  Methaq Talib Gaata,et al.  Iris Image Authentication based on Adaptive Watermarking System , 2016 .

[5]  Pinyi Ren,et al.  Security Enhancement for IoT Communications Exposed to Eavesdroppers With Uncertain Locations , 2016, IEEE Access.

[6]  Sabina Jeschke,et al.  Security and Privacy in Cyber-Physical Systems : Foundations, Principles, and Applications , 2017 .

[7]  Vinay Kumar Deolia,et al.  Digital Image Watermarking Using Least Significant Bit Technique in Different Bit Positions , 2014, 2014 International Conference on Computational Intelligence and Communication Networks.

[8]  Hamid Reza Karimi,et al.  Novel Iris Biometric Watermarking Based on Singular Value Decomposition and Discrete Cosine Transform , 2014 .

[9]  Jaime Lloret Mauri,et al.  Multi-Agent based Framework for Secure and Reliable Communication among Open Clouds , 2014, Netw. Protoc. Algorithms.

[10]  Gaurav Tiwari.  A Review on Robust Watermarking with its Applications and Comparative Analysis , 2015 .

[11]  A. Mallikarjuna,et al.  Biometric Security Techniques For IRIS Recognition System , 2013 .

[12]  Patrick J. Flynn,et al.  A Survey of Iris Biometrics Research: 2008-2010 , 2013, Handbook of Iris Recognition.

[13]  Stefan Bechtold,et al.  The Present and Future of DRM - Musings on Emerging Legal Problems , 2003, Digital Rights Management.

[14]  Siddarth Gupta,et al.  Recent Digital Watermarking Approaches, Protecting Multimedia Data Ownership , 2015 .

[15]  Mark J. Burge,et al.  Handbook of Iris Recognition , 2013, Advances in Computer Vision and Pattern Recognition.

[16]  Shuai Wang,et al.  Digital Watermarking Algorithm Based on Iris Features , 2011 .

[17]  Clyde Wayne Crews.  Human Bar Code Monitoring Biometric Technologies in a Free Society , 2002 .

[18]  Gwanggil Jeon,et al.  Watermarking Signature for Still Images , 2014 .

[19]  Ravi Mohan,et al.  Digital Image Watermarking –A Review , 2014 .

[20]  Cheng-Hsing Yang,et al.  Visible watermarking with reversibility of multimedia images for ownership declarations , 2014, The Journal of Supercomputing.

[21]  Gwanggil Jeon.  Still Images Watermarking Signature , 2014 .

[22]  Millie Pant,et al.  An image watermarking scheme in wavelet domain with optimized compensation of singular value decomposition via artificial bee colony , 2015, Inf. Sci..