Phishing is a harmful online attack that could lead to identity theft and financial damages. The demand for high-accuracy phishing detection tools has risen due the increase of electronic services payment systems. Most techniques depend on features related webpage content, which necessitates crawling relying third-party services. Relying content not provide high accuracy leads false rates. Rece...

With the development of blockchain, cryptocurrencies are also showing a boom. However, due to decentralized and anonymous nature have inevitably become hotbed for fraudulent crimes. For example, phishing scams frequent, which not only jeopardize financial security but hinder promotion blockchain technology. To solve this problem, paper proposes graph neural network-based detection method Ethere...

This paper introduces a novel detection method for phishing website attacks while avoiding the issues associated with deficiencies of knowledge-based representation and binary decision. The suggested was performed using Fuzzy Rule Interpolation (FRI). FRI reasoning methods added benefit enhancing robustness fuzzy systems effectively reducing system’s complexity. These benefits help Intrusion De...

We present the results of the first long-term user study of site-based login mechanisms which force and train users to login safely. We found that interactive site-identifying images received 70% detection rates, which is significantly better than passive indicators’ results [16, 9, 13]. We also found that login bookmarks, when used together with ‘non-working’ links, doubled the prevention rate...

The goal of this project is to apply multilayer feedforward neural networks to phishing email detection and evaluate the effectiveness of this approach. We design the feature set, process the phishing dataset, and implement the neural network (NN) systems. We then use cross validation to evaluate the performance of NNs with different numbers of hidden units and activation functions. We also com...

I. INTRODUCTION Increasing use of Internet banking and shopping by a broad spectrum of users results in greater potential profits from phishing attacks. Phish are fake websites that masquerade as legitimate sites, to trick unsuspecting users into sharing sensitive information: credentials, passwords, financial information, or other personal information that can enable fraud. This threat is espe...

Phishing is a potential web threat that includes mimicking official websites to trick users by stealing their important information such as username and password related to financial systems. The attackers use social engineering techniques like email, SMS and malware to fraud the users. Due to the potential financial losses caused by phishing, it is essential to find effective approaches for ph...