Detecting phishing attacks though ML models

Explore and gain hands-on experience with using machine learning techniques to track and increase accuracy on identifying phishing attacks. Learn how machine learning frameworks can help ease the process of detecting phishing attacks by finding threats in real time and using learned data to find future attacks. By building a machine learning framework, the accuracy and performance of different machine learning algorithms can be observed on a sample phishing attack dataset. Various types of machine learning algorithms can perform phishing detection using text classification and more. With the power of machine learning, find out how this strengthens our cybersecurity toolset for ensuring that users stay safe from phishing attacks. 

Session Presenters

Erika Ledesma

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sheCodes Demonstration

Members are supported in their computer science and technology activities and education by connecting with their female community through events, socials, conventions and workshops to empower them in their career fields. First- and second-year students are linked with mentors who provide guidance on class selection, internships and academics.