Results 81 to 90 of about 278 (129)

Adaptive network steganography using deep learning and multimedia video analysis for enhanced security and fidelity. [PDF]

PLoS One
Han C, Xue T.
europepmc   +1 more source

Image steganography without embedding by carrier secret information for secure communication in networks. [PDF]

PLoS One
Zhang Y, Chen Y, Dou H, Tan C, Luo Y, Sang H.   +5 more
europepmc   +1 more source

Image steganography techniques for resisting statistical steganalysis attacks: A systematic literature review. [PDF]

PLoS One
Apau R, Asante M, Twum F, Ben Hayfron-Acquah J, Peasah KO.   +4 more
europepmc   +1 more source

Image steganalysis using active learning and hyperparameter optimization. [PDF]

Sci Rep
Bohang L, Li N, Yang J, Alfarraj O, Albelhai F, Tolba A, Shaikh ZA, Alizadehsani R, Pławiak P, Yee PL.   +9 more
europepmc   +1 more source

Towards Next-Generation Steganalysis: LLMs Unleash the Power of Detecting Steganography

Linguistic steganography provides convenient implementation to hide messages, particularly with the emergence of AI generation technology. The potential abuse of this technology raises security concerns within societies, calling for powerful linguistic ...
Huang, Yongfeng, Pang, Kaiyi, Wang, Huili, Yang, Minhao Bai. Jinshuai   +3 more
core   +1 more source

COVERLESS IMAGE STEGANOGRAPHY USING DEEP IMAGE SEMANTICS AND ROBUST HASHING

International Journal of Applied Mathematics
With the rapid growth of digital communication, ensuring that data is transmitted securely, imperceptible, and without any form of interference is now crucial. Due to the vulnerability of traditional steganographic techniques that involve pixel-level modification, they are increasingly vulnerable to steranalysis attacks and statistical weaknesses as ...
openaire   +1 more source

Privacy Protection for Medical Images based on DenseNet and Coverless Steganography

Computers, Materials & Continua, 2020
Yun Tan, Jiaohua Qin, Hao Tang, Xuyu Xiang, Ling Tan, Neal N. Xiong   +5 more
openaire   +1 more source

Deep Learning for Real-time Information Hiding and Forensics [PDF]

C. Kim, C. Yang, S. Cimato, Z. Zhou
core  

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Robust Coverless Image Steganography Based on Neglected Coverless Image Dataset Construction

IEEE Transactions on Multimedia, 2023
Wenbo Wan, Q M Jonathan Wu, Jiande Sun
exaly   +2 more sources

A Robust Coverless Steganography Scheme Using Camouflage Image

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Recently, most coverless image steganography (CIS) methods are based on robust mapping rules. However, due to the limited mapping expression relationship between secret information and hash sequence, it is a challenge to further improve the hiding ability of coverless information hiding.
Qiang Liu, Xuyu Xiang, Jiaohua Qin
exaly   +2 more sources