Back to results

College at Brockport

Usage of Adversarial Examples as a Defensive Mechanism in Cybersecurity

Abstract

dc:description.abstract

The focus of this research article is on defenses to a theoretical threat model of malware. The malware, or GUI-Attack, aims to search the victim computer’s desktop and use image recognition to find the icons for highly used web browsers such as Google Chrome, Internet Explorer, Mozilla Firefox, and Opera, and gain access to secure data and information. We propose that adversarial examples can be used as a defensive mechanism to protect secure information from these GUI-Attacks. We hope to prove that these adversarial examples can be used to prevent malicious AI from being able to recognize the icons for popular web browsers, making an effective defensive mechanism against AI-powered GUI-Attacks.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Thurnau, Carl Jake
Advisor dc:contributor.advisor
  • Yu, Ning

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/20.500.12648/6871
OAI identifier oai:identifier
oai:soar.suny.edu:20.500.12648/6871

Chain of custody

source
Harvested from
College at Brockport
Base URL
soar.suny.edu/oai/request/
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Thurnau, Carl Jake. Usage of Adversarial Examples as a Defensive Mechanism in Cybersecurity. 2020. http://hdl.handle.net/20.500.12648/6871