Minor blind feature based Steganalysis for calibrated JPEG images with cross validation and classification using SVM and SVM-PSO
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09820-7.pdf
Reference59 articles.
1. Elbasi E, Eskicioglu AM (2006) Naïve Bayes Classifier Based Watermark Detection in Wavelet Transform. In: Gunsel B, Jain AK, Tekalp AM, Sankur B (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg
2. Allegrini JWBBACOMACOF (2018) Error covariance penalized regression: A novel multivariate model combining penalized regression with multivariate error structure. Anal Chim Acta 1011:20–27
3. Ashu RCA (2014) Performance evaluation of first and second order features for steganalysis. Int J Comput Appl 92(16):17–22
4. Attaby MFMMAAKAAA (2018) Data hiding inside JPEG images with high resistance to steganalysis using a novel technique: DCT-M3. Ain Shams Eng J 9(4):1965–1974
5. Barkana ISBYBD (2017) Performance analysis of descriptive statistical features in retinal vessel segmentation via fuzzy logic, ANN, SVM, and classifier fusion. Knowl-Based Syst 118:165–176
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