Internet has become a vital source of communication through that data is transmit, receive and share in style of emails, text, speech, images, videos, audios etc. currently a day’s JPEG pictures are wide utilized in our everyday life.. Communication between end user can be secure by using Cryptography. Such kind of communication can be embedded by using Steganography. However Steganography will use in digital carries like text, image, audio or video document for hide secrets documents. Now a day Steganalysis is a new approach to find and analyse the important information which is hiding using the steganography method. The steganalysis for JPEG kind pictures becomes important and important. Steganalysis in pictures supported DCT remodelled region, able to acknowledge the foremost widespread steganography algorithms occurring on the net. However performance of any algorithmic program depending on sensitivity of options and quantity of information hidden in a picture. This paper is provides an overview about steganography techniques and steganalysis techniques for digital images to find cue against to where to look for hidden data in images, discussion about different steganalysis algorithmic programs, steganalysis classification methods, limitation and characteristics of different steganalysis method.

Steganography, Universal Steganalysis, Steganalysis, Multimedia documents, Cryptography, Cover Image, Stego Image, Classification, DCT

[1] H. j. J. L. a. C. Y. Yiqin Zhang and Fenlin Liu, "Compact Image Steganalysis for LSB-Matching Steganography”, International Conference on Advanced Computational Intelligence (ICACI), pp. 187-192, 2018.
[2] S. V. P., B. P. Madhavi B. Desai, "ANOVA and Fisher Criterion based Feature Selection for Lower Dimensional Universal Image Steganalysis", IJIP, 2016.
[3] V. B. N. M. a. T. C. Punam Bedi, "FS-SDS: Feature Selection for JPEG Steganalysis using Stochastic Diffusion Search", IEEE, pp. 3797-3802, 2014.
[4] Z. X. &. X. W. &. X. S. &. Q. L. &. N. Xiong, "Steganalysis of LSB matching using differences between nonadjacent pixels”, Springer, 2014.
[5] f. l. C. Y. Xiaofeng Song, "Steganalysis of Adaptive JPEG Steganography Using 2D Gabor Filters, IJRITCC, 2015.
[6] S. V. P. Madhavi B. Desai, "Performance Analysis of Image Steganalysis against Message Size, Message Type and Classification Methods", IEEE, 2016.
[7] F. L, C. Y, X. L. X. S. J. L. Y. Yi Zhang, "Steganalysis of content-adaptive JPEG steganography based on Gauss partial derivative filter bank",Journal of Electronic Imagin , 2017.
[8] Daniel Majercak, Vladimir Banoci, Martin Broda, Gabriel Bugar, Dusan Levicky”Performance Evaluation of Feature-based Steganalysis in Steganography”, Conference Radioelektronika 2013, April 16-17.
[9] M. C.-H. Oswaldo Juarez-Sandoval, "Compact Image Steganalysis for LSB-Matching Steganography", IEEE, 2015.
[10] J.Anita christaline, R.Ramesh, D.Vaishali “Steganalysis with classifier combinations”,ARPR-2014, pg. no-2858-2863
[11] S.K.Sabnisa,R.N.Awaleb” Statistical Steganalysis of High Capacity Image Steganography with Cryptography”,Elsevier-2016,321-327
[12] Zohaib Khan, Atif Bin Mansoor “An Analysis of Quality Factor on Image Steganalysis” ,IEEE-Conference Paper • April 2010
[13] Sruthi Das N1, Rasmi P S”A Survey on Different Image Steganalysis Techniques”,IJMTER-2015,533-536
[14] S.Geetha, shiva s.shivtha sandhu, N. kamraj”blindimagesteganalysis based on contentindependentstatisticalmeasures maximizing the specificity and sensitivity of system”, Elsevier-2006, pg N0-683-697.
[15] Ismail Avcıbas¸Mehdi Kharrazi,Nasir Memon,B¨ulent Sankur”Image Steganalysis with Binary Similarity Measures”,EURASIP Journal on Applied Signal Processing 2005:17, 2749–2757
[16] Yi Zhang, Fenlin Liu ,Chunfang Yang ,Xiangyang Luo,Xiaofeng Song, Jicang Lu”Steganalysis of content-adaptive JPEG steganography based on Gauss partial derivative filter bank”,Journal of Electronic Imaging-2017.
[17] Manisha Saini, Rita Chhikara ”performance Evaluation of DCT and DWT Features for Blind Image Steganalysis using Neural Networks” International Journal of Computer Applications- March 2015 (0975 – 8887)
[18] Dr. Monisha Sharma1 and Mrs. Swagota Bera” a review on blind still image steganalysis techniques using features extraction and pattern classification method”, International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.3. Vol.2, No.3.June 2012,
[19] Rita Chhikara, Latika Singh” A Review on Digital Image Steganalysis Techniques Categorised by Features Extracted” ,International Journal of Engineering and Innovative Technology (IJEIT) - October 2013Volume 3, Issue 4,
[20] K. Nandhini1, B. Gomathi” Implementation of LSB Based Steganography Algorithms in FPGA”, IJSRNSC, Volume-6, Issue-5, June 2017.
[21] Rajesh Shah , Yashwant Singh Chouhan “Encoding of Hindi Text Using Steganography Technique”, ISROSET- Int. J. Sci. Res. in Computer Science & Engineering Vol-2, Issue-1, PP ( 22-28 ), Feb 2014.