Network and Biometric Signatures Combined to Fingerprint Hacked Medical Devices
A new forensic framework fuses network traffic metrics with physiological payload data, detecting data-alteration attacks on medical devices with an ...
A new forensic framework fuses network traffic metrics with physiological payload data, detecting data-alteration attacks on medical devices with an ...
A scoping review of 50 studies finds that Egypt's cybercrime law recognizes digital evidence but lacks mandatory tool validation, laboratory ...
A lightweight Fourier-enhanced neural network outperformed competing detectors on images from an unseen generative model while localizing manipulated regions, according ...
A new study shows that feeding wavelet sub-bands into a standard ResNet-50 improves fake-class sensitivity and F1 in cross-forgery deepfake ...
The finding that ear visibility dominates the attribute landscape of DeepFake detection errors deserves closer scrutiny, because it connects to ...
A new provenance-graph framework called MotifTrace automatically discovers attack stages from temporal motifs and reconstructs complete multi-stage cyberattacks, outperforming state-of-the-art ...
Researchers in Mumbai have developed a wedge-based shadow analysis technique that detects image forgeries by testing whether the shadows cast ...
A new study finds that despite Cameroon's 2010 cybercrime law, its courts continue to prosecute digital offences under the ordinary ...
A new systematic review finds that hybrid deep learning and metaheuristic optimization frameworks achieve 98 to 100 percent accuracy in ...
Researchers have developed TamperNet, a hybrid spatio-temporal deep learning framework that detects frame duplication, deletion, cloning, splicing, and inpainting in ...
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© 2025 Scienmag - Science Magazine