Results 231 to 240 of about 8,674 (276)

Super-resolution deep neural network (SRDNN) based multi-image steganography for highly secured lossless image transmission. [PDF]

Sci Rep
Priya S, Abirami SP, Arunkumar B, Mishachandar B.   +3 more
europepmc   +1 more source

Robust zero-watermarking for color images using hybrid deep learning models and encryption. [PDF]

Sci Rep
Gharib HA, Abdelnapi NMM, Hosny KM.
europepmc   +1 more source

Security-oriented steganographic payload allocation for multi-remote sensing images. [PDF]

Sci Rep
Wu T, Hu X, Liu C.
europepmc   +1 more source

Multi-carrier information hiding based on projection-driven vertex embedding in 3D models. [PDF]

PLoS One
Ou Y, Ke J, Yang M, Chen H, Dan Z, Zhao C.   +5 more
europepmc   +1 more source

Oculoplastics and Augmented Intelligence: A Literature Review. [PDF]

J Clin Med
Ing E, Bondok M.
europepmc   +1 more source

Principles and overview of network steganography [PDF]

IEEE Communications Magazine, 2014
7 pages, 3 ...
Wojciech Mazurczyk, Krzysztof Szczypiorski   +1 more
exaly   +3 more sources

Multilayer Detection of Network Steganography [PDF]

Electronics (Switzerland), 2020
This paper presents a new method for steganography detection in network protocols. The method is based on a multilayer approach for the selective analysis of derived and aggregated metrics utilizing machine learning algorithms. The main objective is to provide steganalysis capability for networks with large numbers of devices and connections.
Krzysztof Szczypiorski
exaly   +2 more sources

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Steganography in WiMAX networks

2013 5th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2013
The main subject of this work is to propose and analyze steganographic systems using WiMAX (802.16-2004) networks physical layer (PHY). According to this, two new systems were described. These proposals allow to create additional, hidden for unauthorized users channels used to transmission of secret messages.
Iwona Grabska, Krzysztof Szczypiorski
openaire   +1 more source

Batch Steganography via Generative Network

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Batch steganography is a technique that hides information into multiple covers. To achieve a better performance on the security of data hiding, we propose a novel strategy of batch steganography using a generative network. In this method, the approaches of cover selection, payload allocation, and distortion evaluation are considered in the round.
Nan Zhong, Zhenxing Qian, Zichi Wang, Xinpeng Zhang 0001, Xiaolong Li 0001   +4 more
openaire   +1 more source