Publication Date

Fall 2022

Document Type

Capstone Project

Degree Name

Master of Science

Department

Information Technology

First Advisor

Professor Mohammed Salam

Second Advisor

Professor Richard Manprisio

Third Advisor

Professor Freddie Kato

Abstract

This research paper aims to explore the concept of social engineering attacks and the impact of artificial intelligence on them. Security threats posed by Social Engineering have escalated significantly in recent years. Despite the availability of advanced security software and hardware mechanisms, a vulnerability still exists in the organization's or individual's defense system. In this paper we look at types of social engineering attacks and the basic techniques used by attackers will be described. The primary areas of study are how AI impacts social engineering and is used to detect and prevent social engineering attacks. The application of automated systems is rapidly growing in every lifestyle we imagine – social media, merchandise apps, driverless cars, and cybersecurity companies. Even though AI has improved cybersecurity, it is giving cybercriminals a position to unleash advanced attacks. The employment of chatbots is rising. Chances are we have had an interaction with a Chatbot already, it may well be on Facebook Messenger. Unfortunately, many of us do not realize that we are talking to a bot. This paper also discusses the concepts of voice spoofing, deep fakes and automated social engineering.

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