Analysis for Phishing Prevention

Phishing is one of the most successful types of cyberattacks, as it social engineers victims into willingly giving up their information. Accordingly, these types of attacks are becoming increasingly sophisticated and widespread, as phishers try to steal as much from users as possible. To accomplish this, attackers employ a variety of different methods, usually preying off the fear or ignorance of their targets. Various strategies are used to attempt to prevent this outcome, all of which have their own strengths and weaknesses. Due to the prevalence and continued success of phishing, I propose to test the success of various filtration models on a variety of different data sets to discover which are the most successful. This will involve utilizing logistic regressions to identify which characteristics are most indicative of phishing, which I used to help produce an educational infographic to demonstrate some of the key indicators of phishing.