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On Automatically Detecting Malicious Impostor Emails
Erhan J. Kartaltepe, Shouhuai Xu
33 - 47
Frontiers in Artificial Intelligence and Applications
Volume 128: Applied Public Key Infrastructure
Abstract

In this paper we explore the problem we call “malicious impostor emails.” Compared with the fairly well-known abuses such as spam and email worms, malicious impostor emails could be much more catastrophic because their payloads may directly target at the victim users' cryptographic keys (via whatever means) and their content—except the malicious payload as an attachment—could look perfectly like a legitimate one. As a first step in dealing with malicious impostor emails, we present a partial solution that mitigates their damage without forcing the involvement of the users.

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