Hybridized feature set for accurate Arabic dark web pages classification
Security informatics and computational intelligence are gaining more importance in detecting terrorist activities as the extremist groups are misusing many of the available Internet services to incite violence and hatred. However, inadequate performance of statistical based computational intelligenc...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
Springer Verlag
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/59310/ http://dx.doi.org/10.1007/978-3-319-22689-7_13 |
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| Institution: | Universiti Teknologi Malaysia |