Systems development in information systems research
Journal of Management Information Systems - Special issue on management support systems
The nature of statistical learning theory
The nature of statistical learning theory
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Machine Learning
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Information Systems Research
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Text classification using string kernels
The Journal of Machine Learning Research
Kernel methods for relation extraction
The Journal of Machine Learning Research
An introduction to variable and feature selection
The Journal of Machine Learning Research
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
PEBL: Web Page Classification without Negative Examples
IEEE Transactions on Knowledge and Data Engineering
A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension
IEEE Transactions on Knowledge and Data Engineering
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Spam, damn spam, and statistics: using statistical analysis to locate spam web pages
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
Blocking Reduction Strategies in Hierarchical Text Classification
IEEE Transactions on Knowledge and Data Engineering
Electronic Commerce Fraud: Towards an Understanding of the Phenomenon
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Information Systems Research
Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification
IEEE Transactions on Knowledge and Data Engineering
Link-based similarity measures for the classification of Web documents
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Do security toolbars actually prevent phishing attacks?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An Antiphishing Strategy Based on Visual Similarity Assessment
IEEE Internet Computing
Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
Detecting semantic cloaking on the web
Proceedings of the 15th international conference on World Wide Web
Why spoofing is serious internet fraud
Communications of the ACM
Detecting Phishing Web Pages with Visual Similarity Assessment Based on Earth Mover's Distance (EMD)
IEEE Transactions on Dependable and Secure Computing
Anomaly Based Web Phishing Page Detection
ACSAC '06 Proceedings of the 22nd Annual Computer Security Applications Conference
Detecting Link Spam Using Temporal Information
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
A survey of trust and reputation systems for online service provision
Decision Support Systems
Information Systems Research
Journal of Management Information Systems
Communications of the ACM
Dynamic support vector machines for non-stationary time series forecasting
Intelligent Data Analysis
ACM Transactions on Information Systems (TOIS)
IEEE Security and Privacy
Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty
Journal of Management Information Systems
Journal of Management Information Systems
Stylometric Identification in Electronic Markets: Scalability and Robustness
Journal of Management Information Systems
Weblog classification for fast splog filtering: a URL language model segmentation approach
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Design and natural science research on information technology
Decision Support Systems
Design science in information systems research
MIS Quarterly
Thwarting the nigritude ultramarine: learning to identify link spam
ECML'05 Proceedings of the 16th European conference on Machine Learning
Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An overview of statistical learning theory
IEEE Transactions on Neural Networks
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks
Interface design elements for anti-phishing systems
DESRIST'11 Proceedings of the 6th international conference on Service-oriented perspectives in design science research
Text mining and probabilistic language modeling for online review spam detection
ACM Transactions on Management Information Systems (TMIS)
Detecting Fake Medical Web Sites Using Recursive Trust Labeling
ACM Transactions on Information Systems (TOIS)
A unified data mining solution for authorship analysis in anonymous textual communications
Information Sciences: an International Journal
A Data-Driven Approach to Measure Web Site Navigability
Journal of Management Information Systems
BizPro: Extracting and categorizing business intelligence factors from textual news articles
International Journal of Information Management: The Journal for Information Professionals
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Fake websites have become increasingly pervasive, generating billions of dollars in fraudulent revenue at the expense of unsuspecting Internet users. The design and appearance of these websites makes it difficult for users to manually identify them as fake. Automated detection systems have emerged as a mechanism for combating fake websites, however most are fairly simplistic in terms of their fraud cues and detection methods employed. Consequently, existing systems are susceptible to the myriad of obfuscation tactics used by fraudsters, resulting in highly ineffective fake website detection performance. In light of these deficiencies, we propose the development of a new class of fake website detection systems that are based on statistical learning theory (SLT). Using a design science approach, a prototype system was developed to demonstrate the potential utility of this class of systems. We conducted a series of experiments, comparing the proposed system against several existing fake website detection systems on a test bed encompassing 900 websites. The results indicate that systems grounded in SLT can more accurately detect various categories of fake websites by utilizing richer sets of fraud cues in combination with problem-specific knowledge. Given the hefty cost exacted by fake websites, the results have important implications for e-commerce and online security.