Results 111 to 120 of about 1,693 (296)
STEGANOGRAPHY: IMAGE DATA ENCRYPTION BY USING DEEP NEURAL NETWORK [PDF]
Over the last twenty years, steganography has attracted in the consideration of numerous information security specialists who analyzes and identifies possible threats of information security. In contrast to encryption, which aims to secure the message,
Sarbassov, Assylbek
core
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
Construction and Performance Analysis of Image Steganography-based Botnet in KakaoTalk Openchat
Once a botnet is constructed over the network, a bot master and bots start communicating by periodically exchanging messages, which is known as botnet C&C communication, in order to send botnet commands to bots, collect critical information stored in
Jaewoo Jeon, Youngho Cho
doaj +1 more source
Multi-Level Steganography: Improving Hidden Communication in Networks
The paper presents Multi-Level Steganography (MLS), which defines a new concept for hidden communication in telecommunication networks. In MLS, at least two steganographic methods are utilised simultaneously, in such a way that one method (called the upper-level) serves as a carrier for the second one (called the lower-level).
Wojciech Fraczek +2 more
openaire +3 more sources
CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source
DGANS:robustness image steganography model based on double GAN
Deep convolutional neural networks can be effectively applied to large-capacity image steganography,but the research on their robustness is rarely reported.The DGANS (double-GAN-based steganography) applies the deep learning framework in image ...
Leqing ZHU +3 more
doaj +2 more sources
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
ARPNetSteg: Network Steganography using Address Resolution Protocol [PDF]
Steganography is a technique that allows hidden transfer of data using some media such as Image, Audio, Video, Network Protocol or a Document, without its existence getting noticed. Over the past few years, a lot of research has been done in the field of
Dua, Arti, Bedi, Punam
core +1 more source
Video Steganography Techniques: A Survey [PDF]
In digital world, information security is the major issue in digital communication on a network from the third party hackers. Steganography techniques play an important role in information security.
, Kamred Udham Singh, Dr. Achintya Singhal
core +2 more sources

