Results 51 to 60 of about 914 (259)
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
Efficient Non-Linear Covert Channel Detection in TCP Data Streams
IEEE Access, 2020 Cyber-attacks are causing losses amounted to billions of dollars every year due to data breaches and Vulnerabilities. The existing tools for data leakage prevention and detection are often bypassed by using various different types of sophisticated ...
Hanaa Nafea +4 more
doaj +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
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
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
FEBS Letters, EarlyView.Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 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
AG-Net: An Advanced General CNN Model for Steganalysis
IEEE Access, 2022 Steganography has made great progress over the past few years due to the advancement of deep convolutional neural networks (DCNNs), which have been successfully used to multi-domains.
Han Zhang +4 more
doaj +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source