Fighting Phishing with Discriminative Keypoint Features of Webpages
نویسندگان
چکیده
Phishing is a form of online identity theft associated with both social engineering and technical subterfuge. As such, it has become a major threat to information security and personal privacy. According to Gartner Inc., in 2007, more than $3.2 billion was lost due to phishing attacks in the US, and 3.6 million people lost money in such attacks. In this article, we present an effective image-based anti-phishing scheme based on discriminative keypoint features in webpages. We use an invariant content descriptor, the Contrast Context Histogram (CCH), to compute the similarity degree between suspicious pages and authentic pages. The results show that the proposed scheme achieves high accuracy and low error rates.
منابع مشابه
A Novel Architecture for Detecting Phishing Webpages using Cost-based Feature Selection
Phishing is one of the luring techniques used to exploit personal information. A phishing webpage detection system (PWDS) extracts features to determine whether it is a phishing webpage or not. Selecting appropriate features improves the performance of PWDS. Performance criteria are detection accuracy and system response time. The major time consumed by PWDS arises from feature extraction that ...
متن کاملPhishing website detection using weighted feature line embedding
The aim of phishing is tracing the users' s private information without their permission by designing a new website which mimics the trusted website. The specialists of information technology do not agree on a unique definition for the discriminative features that characterizes the phishing websites. Therefore, the number of reliable training samples in phishing detection problems is limited. M...
متن کاملLearning to Detect Phishing Webpages
Phishing has become a lucrative business for cyber criminals whose victims range from end users to large corporations and government organizations. Though Internet users are generally becoming more aware of phishing websites, cyber scammers come up with novel schemes that circumvent phishing filters and often succeed in fooling even savvy users. Recent studies to detect phishing and malicious w...
متن کاملEMD based Visual Similarity for Detection of Phishing Webpages
Phishing has become a severe problem in the Internet society. We propose an effective phishing webpage detection approach using EMD (Earth Mover’s Distance) based visual similarity of webpages. Both suspected webpage and protected webpage are first preprocessed into low resolution images respectively. The image level colors and coordinate features are used to represent the image signatures. We ...
متن کاملPhishing with Discriminative Keypoint Features
P hishing is a form of online identity theft associated with both social engineering and technical subterfuge. Specifically, phishers attempt to trick Internet users into revealing sensitive or private information, such as their bank account and credit-card numbers. Unwary users are often lured to browse counterfeit Web sites through spoofed email, and they might easily be convinced that fake p...
متن کامل