Identification of Phishing Attacks using Machine Learning Algorithm

Detection of Phishing Attacks: A Machine Learning Approach

Preventing Phishing Attacks using One Time Password and User Machine Identification

Phishing is a type of attack in which cyber criminals tricks the victims to steal their personal and financial data. It has become an organized criminal activity. Spoofed emails claiming to be from legitimate source are crafted in a way to lead victims to reveal their personal, financial data by misdirecting them to the counterfeit website. This research paper presents a novel approach to comba...

A Review on Phishing URL Detection using Machine Learning Systems

Seeking sensitive user data in the form of online banking user-id and passwords or credit card information, which may then be used by ‘phishers’ for their own personal gain is the primary objective of the phishing e-mails. With the increase in the online trading activities, there has been a phenomenal increase in the phishing scams which have now started achieving monstrous proportions. This pa...

Preventing Phishing Attacks Using Trusted Computing Technology

Most secure web sites use the SSL/TLS protocol for server authentication. SSL/TLS supports mutual authentication, i.e. both server and client authentication. However, this optional feature of SSL/TLS is not used by most web sites because not every client has a certified public key. Instead user authentication is typically achieved by sending a password to the server after the establishment of a...

SPS: A Simple Filtering Algorithm to Thwart Phishing Attacks

In this paper, we explain that by only applying a simple filtering algorithm into various proxy systems, almost all phishing attacks can be blocked without loss of convenience to the user. We propose a system based on a simple filtering algorithm which we call the Sanitizing Proxy System (SPS). The key idea of SPS is that Web phishing attack can be immunized by removing part of the content that...