https://scholars.lib.ntu.edu.tw/handle/123456789/413117
Title: | Users' behavioral prediction for phishing detection | Authors: | Lee L.-H. Lee K.-C. Juan Y.-C. Chen H.-H. HSIN-HSI CHEN |
Keywords: | Behavioral analysis;Category prediction;Context-aware detection | Issue Date: | 2014 | Start page/Pages: | 337-338 | Source: | 23rd International Conference on World Wide Web | Abstract: | This study explores the users' web browsing behaviors that confront phishing situations for context-aware phishing detection. We extract discriminative features of each clicked URL, i.e., domain name, bag-of-words, generic Top-Level Domains, IP address, and port number, to develop a linear chain CRF model for users' behavioral prediction. Large-scale experiments show that our method achieves promising performance for predicting the phishing threats of users' next accesses. Error analysis indicates that our model results in a favorably low false positive rate. In practice, our solution is complementary to the existing anti-phishing techniques for cost-effectively blocking phishing threats from users' behavioral perspectives. ? Copyright 2014 by the International World Wide Web Conferences Steering Committee. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413117 | ISBN: | 9781450327459 | DOI: | 10.1145/2567948.2577320 | SDG/Keyword: | Forecasting; Information retrieval; World Wide Web; Behavioral analysis; Browsing behavior; Context-Aware; Discriminative features; False positive rates; Large scale experiments; Phishing detections; Top level domains; Computer crime |
Appears in Collections: | 資訊工程學系 |
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