Web Phishing Detection using Machine Learning

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...

Georeferencing Semi-Structured Place-Based Web Resources Using Machine Learning

In recent years, the shared content on the web has had significant growth. A great part of these information are publicly available in the form of semi-strunctured data. Moreover, a significant amount of these information are related to place. Such types of information refer to a location on the earth, however, they do not contain any explicit coordinates. In this research, we tried to georefer...

Detection of Phishing Attacks: A Machine Learning Approach

Web Spam Detection Using Machine Learning in Specific Domain Features

In the last few years, as Internet usage becomes the main artery of the life's daily activities, the problem of spam becomes very serious for internet community. Spam pages form a real threat for all types of users. This threat proved to evolve continuously without any clue to abate. Different forms of spam witnessed a dramatic increase in both size and negative impact. A large amount of E-mail...

Phishing Detection based on Web Page Similarity

Phishing is a current social engineering attack that results in online identity theft. Phishing Web pages generally use similar page layouts, styles (font families, sizes, and so on), key regions, and blocks to mimic genuine pages in an effort to convince Internet users to divulge personal information, such as bank account numbers and passwords. A novel technique to visually compare an assumed ...