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Tech Xplore20h
Machine learning methods are best suited to catch liars, according to science of deception detection
Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...
Infosecurity-magazine.com1mon
Malicious Machine Learning Model Attack Discovered on PyPI
The researchers believe the appeal of ML formats is because many security tools do not yet support robust detection of embedded malicious behavior within such files. “Security tools are at a primitive ...
Targeted Oncology3mon
Machine Learning Transforms Multicancer Detection Tests
Machine Learning: Driving Innovation in Cancer Detection . Machine learning transforms MCED development by uncovering patterns in genomic and proteomic data that traditional methods miss. Supervised ...
GitHub4mon
malicious-url-detection · GitHub Topics · GitHub
Malicious URL Detection is designed to identify potentially harmful URLs using machine learning techniques. The model leverages various features of URLs to classify them as malicious or benign, ...
IEEE5mon
Malicious URL Detection: Comparative Study of Machine Learning Algorithms - IEEE Xplore
Malicious URLs can be detected by leveraging lexical analysis and machine learning, where the parsed components of the URL are parsed, and its features include domain reputation, URL length, and the ...
Scientific Research Publishing8mon
Le, H., Pham, Q., Sahoo, D. and Hoi, S.C.H. (2018) URL Net: Learning a URL Representation with Deep Learning for Malicious URL Detection. - Scientific Research Publishing
Malware Detection Using Deep Learning Achi Harrisson Thiziers, Koné Tiémoman, N’guessan Behou Gérard, Traoré Tiémoko Qouddouss Kabir Open Journal of Applied Sciences Vol.13 No.12 , December 29, 2023 ...