Generative Artificial Intelligence

Using Deepfake Techniques as an Obfuscation Information Security Defensive Mechanism

Abstract:

This paper proposes a novel, beneficial application of deepfake technology in the realm of moving target obfuscation information security defence mechanisms. This defensive obfuscation technique aims to utilize generative artificial intelligence systems to synthesize honeypot datasets that mimic certain characteristics of sensitive and highly sought-after datasets by threat actors. By synthesizing and intentionally making available realistic but fake datasets within information systems, this novel technique has the potential to (1) mislead threat actors from acquiring their target data during their data breach attempts, and (2) render any corpus of breached datasets useless.

Published In

Volume 23, Issue 4

Written By

Daniel Shin

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

Keywords

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AI
APT

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C2
C2S
CDX
CIA
CIP
CPS

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DNS
DoD
DoS

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PDA

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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