Results 71 to 80 of about 1,693 (296)
METHODS OF HIDING DATA IN COMPUTER NETWORKS: FROM CLASSICS TO IoT AND Ai
Компютерні системи та інформаційні технологіїThe article presents an overview of key methods in network steganography, including the classification of data hiding techniques in network protocols and discussion of promising directions for further research.
Михайло ШЕЛЕСТ +2 more
doaj +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
A Comparative Analysis of Arabic Text Steganography
Applied Sciences, 2021 Protecting sensitive information transmitted via public channels is a significant issue faced by governments, militaries, organizations, and individuals. Steganography protects the secret information by concealing it in a transferred object such as video,
Reema Thabit +5 more
doaj +1 more source
Deeply‐Recursive Attention Network for video steganography
CAAI Transactions on Intelligence Technology, 2023 Abstract Video steganography plays an important role in secret communication that conceals a secret video in a cover video by perturbing the value of pixels in the cover frames. Imperceptibility is the first and foremost requirement of any steganographic approach.
Jiabao Cui +6 more
openaire +2 more sources
FEBS Letters, EarlyView.This study reveals that the small GTPase Rab14 is necessary for human papillomavirus (HPV) infection and plays an essential role in the transport of virions to the trans‐Golgi network (TGN). HPV in the early endosome (EE), which harbors GTP‐bound Rab14, is transported to the TGN through the switch of Rab14 from its GTP‐bound to GDP‐bound form.
Yoshiyuki Ishii, Iwao Kukimoto
wiley +1 more source
A High-Capacity Steganography Algorithm Based on Adaptive Frequency Channel Attention Networks
Sensors, 2022 Deep learning has become an essential technique in image steganography. Most of the current deep-learning-based steganographic methods process digital images in the spatial domain.
Shanqing Zhang +4 more
doaj +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
Comparative performance assessment of deep learning based image steganography techniques
Scientific Reports, 2022 Increasing data infringement while transmission and storage have become an apprehension for the data owners. Even the digital images transmitted over the network or stored at servers are prone to unauthorized access.
Varsha Himthani +5 more
doaj +1 more source
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
FEBS Letters, EarlyView.This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source
Covert channel: network steganography deployment [PDF]
, 2005 Steganography is one of the major techniques used to hide the existence of communication that lies between two overt parties. Steganography also denoted by art of hiding communication.
Md Ali, Nurul Majdi
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