Results 91 to 100 of about 13,991,852 (286)
Hierarchical Physical‐Cyber Encryption via Metasurface‐Encoded Holographic Keys
ABSTRACT Physical‐layer encryption based on metasurfaces has emerged as a promising alternative to conventional algorithmic cryptography by embedding security into physical processes. However, most existing metasurface‐based encryption schemes operate within single‐stage or static frameworks, where correct physical illumination directly reveals the ...
Zhen Liu +8 more
wiley +1 more source
Digital image forgery detection
Digital image forgery has become a widespread phenomenon in today’s society. Digital images are easy to manipulate and edit due to availability of powerful image processing and editing software.
Tay, Qinyuan.
core
A magneto‐ionic security‐by‐materials‐design strategy exploits voltage‐driven N3– migration in selectively contacted FeCoN dots, creating reconfigurable sub‐15 nm ferromagnetic sublayers with deterministic and/or probabilistic (single‐domain↔vortex) states, voltage‐tunable probabilities and fully stochastic orientation/chirality.
Irena Spasojevic +4 more
wiley +1 more source
CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection
Authenticating digital images poses a significant challenge due to the widespread use of image forgery techniques, including copy-move forgery. Copy-move forgery involves copying and pasting portions of an image within the same image while applying ...
Anjali Diwan, Anil K. Roy
doaj +1 more source
An electro‐templating strategy directs the relaxation of cholesteric finger loops into discrete concentric rings whose geometry is electrically programmed. The photopolymerized structures retain the topological defect pattern and, upon heating, show reversible, castle‐like surface modulation.
Jacques A. Peixoto +4 more
wiley +1 more source
Image forensic for digital image copy move forgery detection [PDF]
In recent years, digital image forgery detection has become an active research area due to the advancement of photo editing software. In general, image forgery detection can be classified into two types, namely active and passive detection.
Yeap, Yong Yew
core
FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni +17 more
wiley +1 more source
This study presents a dual-module architecture for image forgery detection in the context of cyber fraud investigation, designed to provide interpretable and court-admissible forensic evidence.
Donghwan Kim, Hansoo Kim
doaj +1 more source
Copy-Move Forgery Detection in Digital Image
[[abstract]]Copy-move forgery is a specific type of image tampering where a part of the image is copied and pasted somewhere else in the image with the intent to cover an important image feature.
G-C Yang;C-L Huang
core +1 more source
SMIFD-1000 : Social media image forgery detection database
Image forgery/manipulation is one of the most alarming topics and becomes a major concern about different social media platforms regarding one’s privacy and safety.
Rana, Md. Mehedi Rahman, +2 more
core +1 more source

