Tarini Saka

AI-Enhanced Email Security: A Novel Pipeline for Phishing Campaign Detection and Profiling

In this study, we explore the integration of artificial intelligence (AI) into phishing (scam) mitigation, not as a replacement for human expertise but as a complement to it. We …

SoK: Grouping Spam and Phishing Email Threats for Smarter Security

Clustering phishing and spam attackes into groups often called campaigns has been an ongoing research direction, but the work on it uses a supprisingly wide range of definitions of …

Judging Phishing Under Uncertainty: How Do Users Handle Inaccurate Automated Advice?

Users need accurate and relevant guidance about phishing to take the right action on specific cases. This study investigates the effectiveness of guidance based on features …

PhishCoder: Efficient Extraction of Contextual Information from Phishing Emails

A novel framework designed to designed to extract contextual information from phishing emails. Our focus is on human-centric features, which are often overlooked in traditional …

Phishing Codebook: A Structured Framework for the Characterization of Phishing Emails

There is a significant knowledge gap about the qualitative traits embedded in phishing emails, which could be useful in a range of phishing mitigation tasks. In this paper, we …

Context-based Clustering to Mitigate Phishing Attacks