Results 81 to 90 of about 4,115 (191)

IAS-CNN: Image adaptive steganalysis via convolutional neural network combined with selection channel

International Journal of Distributed Sensor Networks, 2020
Steganography is conducive to communication security, but the abuse of steganography brings many potential dangers. And then, steganalysis plays an important role in preventing the abuse of steganography.
Zhujun Jin, Yu Yang, Yuling Chen, Yuwei Chen   +3 more
doaj   +1 more source

Image steganalysis based on CNN-Transformer

Shenzhen Daxue xuebao. Ligong ban
Current convolutional neural network (CNN) steganalysis models primarily focus on the local features of steganographic images. Although CNNs expand their receptive field by stacking deeper convolutional layers, their ability to extract global features ...
WANG Jiahao, YAN Hongcan, GU Jiantao
doaj   +1 more source

Author Correction: Lightweight image steganalysis with block-wise pruning. [PDF]

Sci Rep, 2023
Hong E, Lim K, Oh TW, Jang H.
europepmc   +1 more source

Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain. [PDF]

PeerJ Comput Sci, 2021
Tabares-Soto R, Arteaga-Arteaga HB, Mora-Rubio A, Bravo-Ortíz MA, Arias-Garzón D, Alzate Grisales JA, Burbano Jacome A, Orozco-Arias S, Isaza G, Ramos Pollan R.   +9 more
europepmc   +1 more source

Content‐adaptive steganalysis for color images

Security and Communication Networks, 2016
AbstractSome steganography methods for gray‐scale image can be extended to true RGB color image by treating each of its three color channels as a gray‐scale image. In modern popular steganography, most embedding changes are highly concentrated on those complex textural regions with smaller embedding distortions.
Xin Liao, Guoyong Chen, Jiaojiao Yin
openaire   +1 more source

Reliable steganalysis of color images based on color gradient sequence

Tongxin xuebao, 2011
Based on the difference between the vibrations of color gradient orientation sequences and color gradient sum sequences of stego images and those of images without hiding message,a novel reliable steganalysis of color images was presented which major in ...
QI Ke1, ZHANG Da-fang1, XIE Dong-qing2
doaj   +2 more sources

Blind steganalysis-driven secure transmission validation using feature-based classification in JPEG images

Intelligent Systems with Applications
Information technology and digital media have significantly improved in recent years, facilitating the internet as an effective channel for communication and data transmission.
Deepa D. Shankar, Adresya Suresh Azhakath   +1 more
doaj   +1 more source

Blind Color Image Steganalysis Based on Multi-Transform Combined Features Selected by a Hybrid of ANOVA and BPSO

International Journal of Information and Communication Technology Research, 2010
Steganalysis techniques have been classified into two major categories: blind steganalysis which is independent of the steganography method and specific steganalysis which attempts to detect specific steganographic media.
Mansoureh Pezhmanpour, Mansour Sheikhan, Mohammad Shahram Moin   +2 more
doaj  

Toward Hybrid Classical Deep Learning-Quantum Methods for Steganalysis

IEEE Access
This paper explores the potential of the hybrid classical deep learning quantum in addressing contemporary information security challenges, including cyber-attack detection and prevention, botnet detection, IP-theft, hardware defect detection, and more ...
Rini Wisnu Wardhani, Dedy Septono Catur Putranto, Thi-Thu-Huong Le, Janghyun Ji, Howon Kim   +4 more
doaj   +1 more source

LSB steganography with improved embedding efficiency and undetectability [PDF]

, 2015
Aziz, Benjamin Yowell Yousif, Khalind, Omed   +1 more
core   +2 more sources