Results 171 to 180 of about 6,282 (220)

Class-Aware Adversarial Unsupervised Domain Adaptation for Linguistic Steganalysis

IEEE Transactions on Information Forensics and Security
Recent advancements in deep learning have significantly improved linguistic steganalysis, but challenges persist when labeled samples are scarce in the target domain.
Zhen Yang, Yufei Luo, Jinshuai Yang, Xin Xu, Ru Zhang, Yongfeng Huang   +5 more
semanticscholar   +1 more source

A Siamese Inverted Residuals Network Image Steganalysis Scheme based on Deep Learning

ACM Trans. Multim. Comput. Commun. Appl., 2023
With the rapid proliferation of urbanization, massive data in social networks are collected and aggregated in real time, making it possible for criminals to use images as a cover to spread secret information on the Internet.
Haobin Li, Jinwei Wang, Neal Xiong, Yi Zhang, A. Vasilakos, X. Luo   +5 more
semanticscholar   +1 more source

Steganalysis

2011
In this chapter we provide a detailed overview of the state of the art in steganalysis. Performance of some steganalysis techniques are compared based on critical parameters such as the hidden message detection probability, accuracy of the estimated hidden message length and secret key, and so forth.
Hafiz Malik, Rajarathnam Chandramouli, K. P. Subbalakshmi   +2 more
openaire   +1 more source

Towards dependable steganalysis

SPIE Proceedings, 2015
This paper considers the research goal of dependable steganalysis: where false positives occur once in a million or less, and this rate is known with high precision. Despite its importance for real-world application, there has been almost no study of steganalysis which produces very low false positives.
Tomás Pevný, Andrew D. Ker
openaire   +1 more source

SeSy: Linguistic Steganalysis Framework Integrating Semantic and Syntactic Features

IEEE Signal Processing Letters, 2022
With the rapid development of natural language processing technology and linguistic steganography, linguistic steganalysis gains considerable interest in recent years. Current advanced methods dominantly focus on statistical features in semantic view yet
Jinshuai Yang, Zhongliang Yang, Siyu Zhang, Haoqin Tu, Yongfeng Huang   +4 more
semanticscholar   +1 more source

Adaptive Domain-Invariant Feature Extraction for Cross-Domain Linguistic Steganalysis

IEEE Transactions on Information Forensics and Security
Existing linguistic steganalysis methods require the training and testing datasets to be independent and identically distributed (i.i.d). However, in real-world scenarios, various types of text and steganographic algorithms are employed to generate ...
Yiming Xue, Jiaxuan Wu, Ronghua Ji, Ping Zhong, Juan Wen, Wanli Peng   +5 more
semanticscholar   +1 more source

Steganalysis of Perturbed Quantization

2006 IEEE 14th Signal Processing and Communications Applications, 2006
Recently proposed Perturbed Quantization (PQ) data hiding is a novel steganographic scheme which is undetectable with the current steganalysis methods. In this paper PQ steganography scheme is described briefly and a novel singular value decomposition (SVD) based steganalysis method is proposed to detect PQ embedding.
Avcibas, Ismail, DİRİK, AHMET EMİR, Gul, Gokhan   +2 more
openaire   +2 more sources

A Methodology of Steganalysis for Images

2009 International Conference on Electrical, Communications, and Computers, 2009
This paper provides a comparison of some of the steganalysis methods proposed in the literature, and using these comparison results, a global steganalysis methodology is proposed. The secret message detection capacities of these steganalysis methods are evaluated using stegoimages generated by typical data hiding algorithms.
A. Hernandez-Chamorro, Angelina Espejel Trujillo, J. Lopez-Hernandez, Mariko Nakano-Miyatake, Héctor M. Pérez Meana   +4 more
openaire   +1 more source

Steganalysis of recorded speech

SPIE Proceedings, 2005
Digital audio provides a suitable cover for high-throughput steganography. At 16 bits per sample and sampled at a rate of 44,100 Hz, digital audio has the bit-rate to support large messages. In addition, audio is often transient and unpredictable, facilitating the hiding of messages.
Micah K. Johnson, Siwei Lyu, Hany Farid
openaire   +1 more source

HEVC Video Steganalysis Based on PU Maps and Multi-Scale Convolutional Residual Network

IEEE transactions on circuits and systems for video technology (Print)
HEVC (High Efficiency Video Coding) provides abundant embedding carriers for video steganography, leading to rapid development in the field of video steganography while increasing the urgent demand for video steganalysis.
Haojun Dai, Rangding Wang, Dawen Xu, Songhan He, L. Yang   +4 more
semanticscholar   +1 more source