Results 31 to 40 of about 11,109 (93)

Coverless VoIP Steganography Using Hash and Hash

Cybernetics and Information Technologies, 2020
Performing secure and robust embedding and extracting in real time voice streams without deteriorating the voice quality is a great challenge. This paper aims on hiding the secret data bits in the voice packets without modifying any data in the cover ...
Deepikaa S., Saravanan R.
doaj   +1 more source

A Coverless Plain Text Steganography Based on Character Features

IEEE Access, 2019
The coverless text steganography has become a research hotspot in the field of information hiding because no modification to a text carrier will improve the concealment of steganography. However, compared with images, audios, videos, or other carriers, a
Kaixi Wang, Quansheng Gao
doaj   +1 more source

A coverless steganography method based on generative adversarial network

EURASIP Journal on Image and Video Processing, 2020
The traditional information hiding is realized by embedding the secret information into the multimedia, but it will inevitably leave the modification mark in the carrier. This paper proposed a new method of coverless information hiding.
Xintao Duan, Baoxia Li, Daidou Guo, Zhen Zhang, Yuanyuan Ma   +4 more
doaj   +1 more source

Coverless image steganography using morphed face recognition based on convolutional neural network

EURASIP Journal on Wireless Communications and Networking, 2022
In recent years, information security has become a prime issue of worldwide concern. To improve the validity and proficiency of the image data hiding approach, a piece of state-of-the-art secret information hiding transmission scheme based on morphed ...
Yung-Hui Li, Ching-Chun Chang, Guo-Dong Su, Kai-Lin Yang, Muhammad Saqlain Aslam, Yanjun Liu   +5 more
doaj   +1 more source

STBS-Stega: Coverless text steganography based on state transition-binary sequence

International Journal of Distributed Sensor Networks, 2020
Information-hiding technology has recently developed into an area of significant interest in the field of information security. As one of the primary carriers in steganography, it is difficult to hide information in texts because there is insufficient ...
Ning Wu, Zhongliang Yang, Yi Yang, Lian Li, Poli Shang, Weibo Ma, Zhenru Liu   +6 more
doaj   +1 more source

A Novel Steganography Scheme Combining Coverless Information Hiding and Steganography

, 2019
At present, the coverless information hiding has been developed. However, due to the limited mapping relationship between secret information and feature selection, it is challenging to further enhance the hiding capacity of coverless information hiding ...
Qi Cui, Ruohan Meng, Zhili Zhou, Chengsheng Yuan, Xingming Sun   +4 more
core   +1 more source

An Image Style Transfer Network Using Multilevel Noise Encoding and Its Application in Coverless Steganography

, 2019
Most of the existing image steganographic approaches embed the secret information imperceptibly into a cover image by slightly modifying its content.
Qili Zhou, Li, Li, Chin-Chen Chang, Su, Shengqi, Zhou, Qili, Chang, Chin-Chen, Shanqing Zhang, Zhang, Shanqing, Lu, Jianfeng, Jianfeng Lu, Shengqi Su, Li Li   +11 more
core   +1 more source

Enhancing of coverless image steganography capacity based on image block features [PDF]

, 2023
The idea of coverless information hiding has seen a great deal of development since it was initially introduced due to its effectiveness in defeating steganalysis tools.
Jabbar Jawad, Majid; University of Babylon, Talib Mangi, Hadeel; University of Babylon, A. Ali, Suhad; University of Babylon   +2 more
core   +1 more source

Coverless Steganography for Face Recognition Based on Diffusion Model

IEEE Access
As a highly recognizable biometric face recognition technology, it has been widely used in many identity verification systems. In order to enhance the protection of personal privacy and ensure the safe transmission and sharing of sensitive information ...
Yuan Guo, Ziqi Liu
doaj   +1 more source

Reinforcement Learning for Robust Modulation Classification in Non‐Orthogonal Multiple Access (NOMA) Systems

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a reinforcement learning–based framework for robust modulation classification and resource management in non‐orthogonal multiple access (NOMA) systems. By integrating Q‐learning, deep reinforcement learning, and proximal policy optimisation, the approach enhances spectral efficiency, mitigates interference, and improves ...
Mohammed M. Alammar, Abdulrahman Al Ayidh, Muneer Parayangat, Mohamed Abd Elhamid Abbas   +3 more
wiley   +1 more source