This paper proposes a framework to address the problem that email users are not well informed or assisted by their email clients in identifying possible phishing attacks, thereby putting their personal information at risk. Furthermore, it argues that email clients should make use of feedback mechanisms to present security related aspects to the users, so as to make them aware of the characteris...

Phishing risk is a growing area of concern for corporations, governments, and individuals. Given the evidence that users vary widely in their vulnerability to phishing attacks, we demonstrate an approach for assessing the benefits and costs of interventions that target the most vulnerable users. Our approach uses Monte Carlo simulation to (1) identify which users were most vulnerable, in signal...

This paper presents the results of a study performed over phishing threats and vulnerabilities present in nowadays authentication environments. The main goal of this paper is to present our solution, the anti-phishing model which can be applied to any web environment, and not just to e-banking or the financial sector, without limitations nor additional requirements. We start presenting a brief ...

Phishing is a form of online identity theft that aims to steal sensitive information such as online banking passwords and credit card information from users. Phishing scams have been receiving extensive press coverage because such attacks have been escalating in number and sophistication. According to a study by Gartner, 57 million US Internet users have identified the receipt of email linked t...

By Christopher Abad, Research Scientist ABSTRACT Phishing has been defined as the fraudulent acquisition of personal information by tricking an individual into believing the attacker is a trustworthy entity1. Phishing attacks are becoming more sophisticated and are on the rise. In order to develop effective strategies and solutions to combat the phishing problem, one needs to understand the inf...

Phishing has evolved to a serious cause of risk in our daily contact with the World Wide Web. Therefore, different extensions and plugins for web browsers were developed to detect phishing websites. To furthermore minimize the risk of falling for a phishing attack, the users themselves have to be educated. Therefore, the online game “NoPhish” has been developed, which explains the basics of phi...

Phishing causes billions of dollars in damage every year and poses a serious threat to the Internet economy. Email is still the most commonly used medium to launch phishing attacks [1]. In this paper, we present a comprehensive natural language based scheme to detect phishing emails using features that are invariant and fundamentally characterize phishing. Our scheme utilizes all the informatio...

Identity theft is one of the most profitable crimes committed by felons. In the cyber space, this is commonly achieved using phishing. We propose here robust server side methodology to detect phishing attacks, called phishGILLNET, which incorporates the power of natural language processing and machine learning techniques. phishGILLNET is a multi-layered approach to detect phishing attacks. The ...

Phishing is a kind of attack in which criminals use spoofed emails and fraudulent web sites to trick financial organization and customers. Criminals try to lure online users by convincing them to reveal the username, passwords, credit card number and updating account information or fill billing information. One of the main problems of phishing email detection is the unknown “zero-day” phishing ...