Detecting DNS-poisoning-based phishing attacks from their network performance characteristics

Electronics Letters

Volumn 47, Issue 11, 2011, Pages 656-658

  Kim, H ^a   Huh, J H ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ALGORITHM; CLASSIFICATION METHODS; DOMAIN NAME SYSTEM; FALSE POSITIVE RATES; K-NEAREST NEIGHBOUR ALGORITHMS; K-NEAREST NEIGHBOURS; LINEAR DISCRIMINANT ANALYSIS; PERFORMANCE CHARACTERISTICS; PHISHING ATTACKS; PHISHING DETECTIONS; ROUTING INFORMATION; TRUE POSITIVE RATES;

ALGORITHMS; DISCRIMINANT ANALYSIS; IMAGE RETRIEVAL; INTERNET PROTOCOLS; NETWORK PERFORMANCE;

COMPUTER CRIME;

EID: 80053293428     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2011.0399     Document Type: Article

References (5)

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3. Duda, R.O., Hart, P.E., and Stork, D.G.: ' Pattern classification ', (Wiley, 2001, 2nd edn)
4. Xiang, G., and Hong, J.I.: ' A hybrid phish detection approach by identity discovery and keywords retrieval ', WWW '09: Proc. 18th ACM Int. Conf. on World Wide Web, New York, NY, USA, 2009, p. 571-580
5. Zhang, Y., Hong, J.I., and Cranor, L.F.: ' Cantina: a content-based approach to detecting phishing web sites ', WWW '07: Proc. 16th Int. Conf. on World Wide Web, New York, NY, USA, 2007, p. 639-648 (Pubitemid 47582293)