JPEG Steganalysis Based on Multi-Projection Ensemble Discriminant Clustering
نویسندگان
چکیده
منابع مشابه
Unsupervised Image Steganalysis Method Using Self-Learning Ensemble Discriminant Clustering
Image steganography is a technique of embedding secret message into a digital image to securely send the information. In contrast, steganalysis focuses on detecting the presence of secret messages hidden by steganography. The modern approach in steganalysis is based on supervised learning where the training set must include the steganographic and natural image features. But if a new method of s...
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* Correspondence: Email: [email protected]; WWW: http://www.ssie.binghamton.edu/fridrich; Telephone: 607 777 2577; Fax: 607 777 2577 ABSTRACT In this paper, we introduce a new forensic tool that can reliably detect modifications in digital images, such as distortion due to steganography and watermarking, in images that were originally stored in the JPEG format. The JPEG compression leaves...
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Current research has indicated that convolution neural networks (CNNs) can work well for steganalysis in the spatial domain. There are, however, fewer works based on CNN in the JPEG domain. In this paper, we have proposed a 32layer CNN architecture that is based on Dense Convolutional Network (DenseNet) for JPEG steganalysis. The proposed CNN architecture can reuse features by concatenating fea...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2019
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2018edl8073