Abstract
Steganalaysis is a technique for detecting the presence of hidden information. Artificial neural network (ANN) is a widespread method for steganalysis. Back propagation algorithm (BPA), radial basis function (RBF), and functional update back propagation algorithm (FUBPA) are some of the popular ANN algorithms for detecting hidden information. Training and testing performance is improved when two algorithms are combined instead of using them separately. This paper analyzes the performance of combined algorithms of BPARBF and FUBPARBF. Among the two combinations FUBPARBF provides promising results than BPARBF since FUBPA uses less number of iterations for the network to converge. But still organizing the retrieved information is a challenging task.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Martin, A., Sapiro, G., Seroussi, G.: Is image steganography natural? IEEE Trans. Image Process. 14(12), 2040–2050 (2005)
Sullivan, K., Bi, Z., Madhow, U., Chandrasekaran, S., Manjunath, B.S.: Steganalysis of quantization index modulation data hiding. In: Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 1165–1168 Singapore (2004)
Fu, D., Shi Y.Q., Zou, D., Xuan, G.: JPEG steganalysis using empirical transition matrix in block DCT domain. In: Proceedings of 8th IEEE International workshop on Multimedia Signal Processing, pp. 310–313 Victoria, BC (2006)
Shi, Y.Q., Xuan, G., Zou, D., Gao, J., Yang, C., Zhang, Z., Chai, P., Chen, W., Chen, C.: Image steganalysis based on moments of characteristic functions using wavelet decomposition, prediction-error image, and neural network. IEEE International Conference on Multimedia and Expo, ICME, Newark pp. 1-4, 6–8 July 2005
Mehrabi, M.A., Faez, K., Bayesteh, A.R.: Image steganalysis based on statistical moments of wavelet sub band histograms in different frequencies and support vector machine. In: 3rd International Conference on Natural Computation,Haikou, vol. 1, pp. 587–590 August 2007
Wang, Y., Moulin, P.: Optimized feature extraction for learning-based image steganalysis. IEEE Trans. Inform. Forens. Secur. 2(1), 31–45 (2007)
Gul, G., Kurugollu, F.: SVD based universal spatial domain image steganalysis. IEEE Trans. Inform. Forens. Secur. 5(2), 349–353 (2010)
Avcibas, I., Memon, N., Sankur, B.: Steganalysis using image quality metrics. IEEE Trans. Image Process. 12(2), 221–229 (2003)
Zhi, L., Fen, S.A. Detection of random LSB image steganography. In: 60th IEEE International Conference on Vehicular Technology, China vol. 3, pp. 2113-2117 September 2004
Chandramouli, R.: A mathematical framework for active steganalysis. ACM Multimedia Syst. 9(3), 303–311 (2003)
Farid H.: Detecting hidden messages using higher-order statistical models. In: Proceedings of IEEE International Conference on Image Processing, pp. 905–908 New York (2002)
Wu, X., Dumitrescu, S., Wang, Z.: Detection of LSB steganography via sample pair analysis. In: 5th International Workshop on Information Hiding, London pp. 355–372 (2002)
Yu, X.Y., Wang, A.: Steganalysis based on regression model and Bayesion network. In: International Conference on Multimedia Information Networking and Security, MINES ‘09.Hubei, vol. 1, pp.41–44 (2009)
Lin, J.-Q.,Zhong, S.-P.: JPEG image steganalysis method based on binary similarity measures. International Conference on Machine Learning and Cybernetics. vol. 4, 2238–2243 (2009)
Zhao, X., Huang, L., Li, L., Yang, W., Chen, Z., Yu, Z.: Steganalysis on character substitution using support vector machine knowledge discovery and data mining, Second International Workshop, Moscow pp. 84–88 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer India
About this paper
Cite this paper
Sujatha, P., Purushothaman, S., Rajeswari, R. (2014). Performance Study of Combined Artificial Neural Network Algorithms for Image Steganalysis. In: Sathiakumar, S., Awasthi, L., Masillamani, M., Sridhar, S. (eds) Proceedings of International Conference on Internet Computing and Information Communications. Advances in Intelligent Systems and Computing, vol 216. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1299-7_41
Download citation
DOI: https://doi.org/10.1007/978-81-322-1299-7_41
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1298-0
Online ISBN: 978-81-322-1299-7
eBook Packages: EngineeringEngineering (R0)