'Phishing urls' presentation slideshows

A Framework for Detection and Measurement of Phishing Attacks

471 views • 35 slides

Phinding Phish: An Evaluation of Anti-Phishing Toolbars

426 views • 29 slides

Phinding Phish: An Evaluation of Anti-Phishing Toolbars

299 views • 29 slides

Phishing Information Recycling from Spam Mails

Phishing Information Recycling from Spam Mails. ??? ?????? ????. OUTLINE. Introduction System Overview Evaluation Discussion and Conclusion. Statistics of Spam Mails. The global spam rate for Q3 2009 is 88.1%, equating to around 151 billion emails a day.

353 views • 24 slides

Phishing Information Recycling from Spam Mails

Phishing Information Recycling from Spam Mails. ??? ?????? ????. OUTLINE. Introduction System Overview Evaluation Discussion and Conclusion. Statistics of Spam Mails. The global spam rate for Q3 2009 is 88.1%, equating to around 151 billion emails a day.

388 views • 24 slides

PhishNet: Predictive Blacklisting to detect Phishing Attacks

322 views • 22 slides

Named Entity Extraction

Named Entity Extraction. Richard North, III REU-CS University of Houston. Named Entity Recognition (NER). The process of finding mentions of specified things in running text Breaking the mentions into predefined categories such name, location, organization, time, etc.

263 views • 8 slides

Detecting Phishing Using Machine Learning

Phishing is a social engineering Technique which they main aim is to target the user Information like user id, password, credit card information and so on. Which result a financial loss to the user. Detecting Phishing is the one of the challenge problem that relay to human vulnerabilities. This paper proposed the Detecting Phishing Web Sites using different Machine Learning Approaches. In this to evaluate different classification models to predict malicious and benign websites by using Machine Learning Algorithms. Experiments are performed on data set consisting malicious and benign, In This paper the results shows the proposed Algorithms has high detection accuracy. Nakkala Srinivas Mudiraj "Detecting Phishing using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23755.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/23755/detecting-phishing-using-machine-learning/nakkala-srinivas-mudiraj

70 views • 3 slides