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Image steganography plays a vital role in securing secret data by embedding it in the cover images. Usually, these images are communicated in a compressed format. Existing techniques achieve this but have low embedding capacity. Enhancing…

多媒体 · 计算机科学 2021-01-05 Rohit Agrawal , Kapil Ahuja

Secure covert communication in hostile environments requires simultaneously achieving invisibility, provable security guarantees, and robustness against informed adversaries. This paper presents a novel hybrid steganographic framework that…

密码学与安全 · 计算机科学 2025-07-08 Obinna Omego , Michal Bosy

Deep learning based image steganalysis has attracted increasing attentions in recent years. Several Convolutional Neural Network (CNN) models have been proposed and achieved state-of-the-art performances on detecting steganography. In this…

多媒体 · 计算机科学 2017-11-22 Songtao Wu , Sheng-hua Zhong , Yan Liu

Traditional image steganography often leans interests towards safely embedding hidden information into cover images with payload capacity almost neglected. This paper combines recent deep convolutional neural network methods with…

多媒体 · 计算机科学 2018-06-19 Pin Wu , Yang Yang , Xiaoqiang Li

This paper proposes a new steganographic scheme relying on the principle of cover-source switching, the key idea being that the embedding should switch from one cover-source to another. The proposed implementation, called Natural…

多媒体 · 计算机科学 2016-07-27 Patrick Bas

Steganography is the art and science of writing hidden messages in such a way that no one apart from the intended recipient knows of the existence of the message. In today's world, it is widely used in order to secure the information. In…

密码学与安全 · 计算机科学 2011-08-11 Tolga Mataracioglu , Unal Tatar

We propose adversarial embedding, a new steganography and watermarking technique that embeds secret information within images. The key idea of our method is to use deep neural networks for image classification and adversarial attacks to…

密码学与安全 · 计算机科学 2019-12-04 Salah Ghamizi , Maxime Cordy , Mike Papadakis , Yves Le Traon

In the last few years, steganography has attracted increasing attention from a large number of researchers since its applications are expanding further than just the field of information security. The most traditional method is based on…

密码学与安全 · 计算机科学 2021-02-19 Quang Pham Huu , Thoi Hoang Dinh , Ngoc N. Tran , Toan Pham Van , Thanh Ta Minh

The security of private communication is increasingly at risk due to widespread surveillance. Steganography, a technique for embedding secret messages within innocuous carriers, enables covert communication over monitored channels. Provably…

密码学与安全 · 计算机科学 2026-02-16 Kaiyi Pang , Minhao Bai

The demand for keeping the information secure and confidential simultaneously has been progressively increasing. Among various techniques- Audio Steganography, a technique of embedding information transparently in a digital media thereby…

多媒体 · 计算机科学 2015-09-10 Satish Bhalshankar , Avinash K. Gulve

Informally, steganography is the process of exchanging a secret message between two communicating entities so that an eavesdropper may not know that a message has been sent. After a review of some steganographic systems, we found that these…

密码学与安全 · 计算机科学 2015-06-16 Fabrice P. Tachago , Stephane G. R. Ekodeck , Rene Ndoundam

Various methods have been proposed to secure access to sensitive information over time, such as the many cryptographic methods in use to facilitate secure communications on the internet. But other methods like steganography have been…

密码学与安全 · 计算机科学 2023-12-22 Sahil Nokhwal , Manoj Chandrasekharan , Ankit Chaudhary

Steganography is the art of hiding data, in such a way that it is undetectable under traffic-pattern analysis and the data hidden is only known to the receiver and the sender. In this paper new method of text steganography over the silence…

多媒体 · 计算机科学 2016-10-17 Muhammad Fahad Khan , Faisal Baig , Saira Beg

Stacking, a potent ensemble learning method, leverages a meta-model to harness the strengths of multiple base models, thereby enhancing prediction accuracy. Traditional stacking techniques typically utilize established learning models, such…

机器学习 · 计算机科学 2024-10-31 Wei Wu , Liang Tang , Zhongjie Zhao , Chung-Piaw Teo

Steganography is a method that can improve network security and make communications safer. In this method, a secret message is hidden in content like audio signals that should not be perceptible by listening to the audio or seeing the…

多媒体 · 计算机科学 2020-04-28 Noshin Amiri , Iman Naderi

This study discusses a new method combining image steganography technology with Natural Language Processing (NLP) large models, aimed at improving the accuracy and robustness of extracting steganographic text. Traditional Least Significant…

计算机视觉与模式识别 · 计算机科学 2024-03-01 Mingyang Li , Maoqin Yuan , Luyao Li , Han Pengsihua

Deep image steganography is a data hiding technology that conceal data in digital images via deep neural networks. However, existing deep image steganography methods only consider the visual similarity of container images to host images,…

密码学与安全 · 计算机科学 2022-01-20 Yanzhen Ren , Ting Liu , Liming Zhai , Lina Wang

With the advancement of communication technology,data is exchanged digitally over the network. At the other side the technology is also proven as a tool for unauthorized access to attackers. Thus the security of data to be transmitted…

多媒体 · 计算机科学 2014-07-11 Manisha Rana , Rohit Tanwar

In this paper, an unsupervised steganalysis method that combines artificial training setsand supervised classification is proposed. We provide a formal framework for unsupervisedclassification of stego and cover images in the typical…

多媒体 · 计算机科学 2017-03-03 Daniel Lerch-Hostalot , David Megías

Steganography is the art and science of covert communication. The secret information can be concealed in content such as image, audio, or video. This paper provides a novel image steganography technique to hide both image and key in color…

密码学与安全 · 计算机科学 2013-04-12 Hemalatha S , U Dinesh Acharya , Renuka A , Priya R. Kamath