URL PHISHING DATA ANALYSIS AND DETECTING PHISHING ATTACKS USING MACHINE LEARNING IN NLP

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...

Detection of Phishing Attacks: A Machine Learning Approach

An interdiscplinary study of phishing and spear-phishing attacks

In a world where spear-phishing is one of the most common attacks used to steal confidential data, it is necessary to instruct technical and non-technical users about new mechanisms attackers can use to generate these attacks. We want to focus on phishing attacks, where a social engineer communicates a deceitful message to their victims in order to obtain some confidential information, because ...

Analysis of Phishing Attacks and Countermeasures

One of the biggest problems with the Internet technology is the unwanted spam emails. The welldisguised phishing email comes in as part of the spam and makes its entry into one’s inbox quite frequently nowadays. While phishing is normally considered a consumer issue, the fraudulent tactics the phishers use are now intimidating the corporate sector as well. In this paper, we analyze the various ...

A Phishing Model and Its Applications to Evaluating Phishing Attacks

Phishing is a growing threat to Internet users and causes billions of dollars in damage every year. In this paper, we present a theoretical yet practical model to study this threat in a formal manner. While it is folklore knowledge that a successful phishing attack entails creating messages that are indistinguishable from the natural, expected messages by the intended victim, this concept has n...