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Malicious Websites Detection via CNN based Screenshot Recognition
- Source :
- 2019 International Conference on Intelligent Computing and its Emerging Applications (ICEA).
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Traditional malicious website detection schemes no longer work effectively, for miscellaneous Web spam techniques are widely used and relentlessly innovative. This paper analyzes typical spam techniques and proposes a novel detection scheme, which origins from end-user perspective and adopts Convolutional Neural Network as a key element for precise image recognition.
- Subjects :
- Scheme (programming language)
050101 languages & linguistics
Computer science
business.industry
05 social sciences
Perspective (graphical)
Feature extraction
02 engineering and technology
Machine learning
computer.software_genre
Convolutional neural network
Spamdexing
Web page
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
020201 artificial intelligence & image processing
0501 psychology and cognitive sciences
The Internet
Artificial intelligence
business
computer
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 International Conference on Intelligent Computing and its Emerging Applications (ICEA)
- Accession number :
- edsair.doi...........535d580aadb60811439315e99becb514
- Full Text :
- https://doi.org/10.1109/icea.2019.8858300