Steganography


January 28, 2019

Steganography refers to the science of invisible communication. Unlike with cryptography, where the goal is to secure communications from an eavesdropper, steganographic techniques strive to hide the very presence of the message itself from an observer. In our research on image steganography and steganalysis techniques, funded by AFOSR, we have contributed in three fundamental areas. The first involves designing novel steganographic and steganalysis techniques, devising a methodology for steganographic security and establishing a benchmark to evaluate the performance of several widely used steganography and steganalysis techniques with regard to embedding rate versus detectability. The second area is concerned with incorporating information-fusion techniques into the steganalysis problem. In practice, since the steganalyst will not be able to know which steganographic technique is being used by the embedder, a methodological approach is absolutely essential in fusing the decisions of a variety of steganalyzers. For this purpose, various fusion strategies are considered and composite steganalyzers for practical scenarios are constructed. The third area is cover-image selection, which is a fundamental and unexploited resource for steganographic embedding. To reduce detectability by state-of-the-art steganalysis techniques, a number of statistical measures are devised and used in selecting the cover image. This approach is further extended to the computation of the steganographic embedding rate of a given cover image.

Participants: Taha SencarMehdi KharraziNasir Memon

Resources:

Data sets and Codes

Book Chapters and Magazine Articles:

Journal:

Conference:

  • An Ensemble of Classifiers Approach to Steganalysis, S. Bayram, A. E. Dirik, H. T. Sencar, N. Memon.  ICPR, International Conference on Pattern Recognition, 2010.
  • Cover Selection for Steganographic Embedding, M. Kharrazi, H. T. Sencar, N. Memon, IEEE International Conference on Image Processing, 2006.[BibTex]
  • Improving Steganalysis by Fusion Techniques: A Case Study with Image Steganography, M. Kharrazi, T. H. Sencar, N. Memon, EI SPIE San Jose, CA, January 15-19, 2006. [BibTex]
  • PSteg: steganographic embedding through patching, K. Petrowski, M. Kharrazi, H. T. Sencar, N. Memon, IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March, 2005. [BibTex]
  • Steganalysis of Halftone Images, M. Jiang, E. K. Wong, N. Memon, X. Wu, IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March, 2005. [BibTex]
  • Steganalysis of Degraded Document Images, M. Jiang, E. K. Wong, N. Memon, X. Wu, IEEE International Workshop on Multimedia Signal Processing, Shanghai, October, 2005. [BibTex]
  • Benchmarking steganographic and steganalysis techniques, M. Kharrazi, T. H. Sencar, N. Memon, EI SPIE San Jose, CA, January 16-20, 2005. [BibTex]
  • Steganalysis of Boundary-based Steganography using Autoregressive Model of Digital Boundaries, M. Jiang, X. Wu, E. K. Wong, N. Memon, IEEE Conference on Multimedia and Expo, Taiwan, 2004. [BibTex]
  • Quantitative steganalysis of binary images, M. Jiang, N. Memon, E. K. Wong, X. Wu, IEEE International Conference on Image Processing, Singapore, Oct. 2004. [BibTex]
  •  A simple technique for estimating message lengths for additive noise steganography, M. Jiang, E. K. Wong, N. Memon, X. Wu, IEEE International Conference on Control, Automation, Robotics and Vision, China, Dec. 2004. [BibTex]
  • Image Steganography and Steganalysis: Concepts and Practice, R. Chandramouli, M. Kharrazi, N. Memon, International Workshop on Digital Watermarking, Seoul, October 2003. [BibTex]
  • Steganographic Capacity from an Active Steganalysis Perspective, R. Chandramouli, N. Memon. Security and Watermarking of Multimedia Contents, Santa Clara, CA, January 2003. [BibTex]
  • Data Masking: A Secure-Covert Channel Paradigm,R. Radhakrishnan, K. Shanmugasundaram, N. Memon, IEEE Multimedia Signal Processing, St. Thomas, France, October 2002. [BibTex]
  • Image steganalysis with binary similarity measures, I. Avcibas, N. Memon, B. Sankur, International Conference on Image Processing, Rochester, New York, September
  • On steganalysis of random LSB embedding in continuous-tone images, S. Dumitrescu., X. Wu, N. Memon, International Conference on Image Processing, Rochester, New York, September 2002. [BibTex]
  • Adaptive Steganography, R. Chandramouli, G. Li and N. Memon, Security and Watermarking of Multimedia Contents, San Jose, CA, February 2002. [BibTex]
  • Analysis of LSB based image steganography techniques, R. Chandramouli, N. Memon, International Conference on Image Processing, Thessaloniki, Greece, October 2001. [BibTex]
  • Steganalysis based on Image Quality Metrics – Differentiating between techniques, I. Avcibas, N. Memon and B. Sankur, IEEE Workshop on Multimedia, Cannes, France, October 2001. [BibTex]
  • Steganalysis using Image Quality Metrics, I. Avcibas, N. Memon and B. Sankur, Security and Watermarking of Multimedia Contents, San Jose, CA, February 2001. [BibTex]
  • A Distributed Detection Framework for Steganalysis, R. Chandramouli and N. Memon, ACM Workshop on Multimedia Security, pp 123-126, Los Angeles, CA, November 2000. [BibTex]


Nasir Memon
Professor: Computer Science and Engineering
New York University Tandon School of Engineering
10.095,
2 MetroTech Center, 10th Floor
Brooklyn, NY 11201

Tel: 718-260-3970
Fax: 718-260-3609
Google Voice: 1-480-2MYPROF‏
Skype: (212) 203-0608‏; Username: evilproffy
Email: memon@nyu.edu