Issue No. 03 - May/June (2009 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2009.59
Kuan-Ta Chen , Institute of Information Science at Academia Sinica
Jau-Yuan Chen , Columbia University
Chun-Rong Huang , Institute of Information Science at Academia Sinica
Chu-Song Chen , Institute of Information Science and the Research Center for Information Technology Innovation at Academia Sinica
Phishing is a form of online identity theft associated with both social engineering and technical subterfuge and is a major threat to information security and personal privacy. Here, the authors present an effective image-based antiphishing scheme based on discriminative keypoint features in Web pages. Their invariant content descriptor, the Contrast Context Histogram (CCH), computes the similarity degree between suspicious and authentic pages. The results show that the proposed scheme achieves high accuracy and low error rates.
antiphishing, Contrast Context Histogram, image matching, local content descriptor, visual similarity, phishing
C. Chen, K. Chen, C. Huang and J. Chen, "Fighting Phishing with Discriminative Keypoint Features," in IEEE Internet Computing, vol. 13, no. , pp. 56-63, 2009.