Data Mining: Concepts, Models, Methods and Algorithms
Data Mining: Concepts, Models, Methods and Algorithms
Centroid-Based Document Classification: Analysis and Experimental Results
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Finding Association Rules That Trade Support Optimally against Confidence
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Data mining of web access logs from an academic web site
Design and application of hybrid intelligent systems
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
The battle against phishing: Dynamic Security Skins
SOUPS '05 Proceedings of the 2005 symposium on Usable privacy and security
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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 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
MCAR: multi-class classification based on association rule
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Lightweight encryption for email
SRUTI'05 Proceedings of the Steps to Reducing Unwanted Traffic on the Internet on Steps to Reducing Unwanted Traffic on the Internet Workshop
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Using automated individual white-list to protect web digital identities
Expert Systems with Applications: An International Journal
A quantitative approach to estimate a website security risk using whitelist
Security and Communication Networks
Intelligent phishing detection and protection scheme for online transactions
Expert Systems with Applications: An International Journal
International Journal of Hybrid Intelligent Systems
| Hi-index | 12.05 |
Detecting and identifying any phishing websites in real-time, particularly for e-banking, is really a complex and dynamic problem involving many factors and criteria. Because of the subjective considerations and the ambiguities involved in the detection, fuzzy data mining techniques can be an effective tool in assessing and identifying phishing websites for e-banking since it offers a more natural way of dealing with quality factors rather than exact values. In this paper, we present novel approach to overcome the 'fuzziness' in the e-banking phishing website assessment and propose an intelligent resilient and effective model for detecting e-banking phishing websites. The proposed model is based on fuzzy logic combined with data mining algorithms to characterize the e-banking phishing website factors and to investigate its techniques by classifying the phishing types and defining six e-banking phishing website attack criteria's with a layer structure. Our experimental results showed the significance and importance of the e-banking phishing website criteria (URL & Domain Identity) represented by layer one and the various influence of the phishing characteristic on the final e-banking phishing website rate.