Impacts and Risk of Generative AI Technology on Cyber Defense. (arXiv:2306.13033v1 [cs.CR])


Impacts and Risk of Generative AI Technology on Cyber Defense. (arXiv:2306.13033v1 [cs.CR])
By: <a href="http://arxiv.org/find/cs/1/au:+Neupane_S/0/1/0/all/0/1">Subash Neupane</a>, <a href="http://arxiv.org/find/cs/1/au:+Fernandez_I/0/1/0/all/0/1">Ivan A. Fernandez</a>, <a href="http://arxiv.org/find/cs/1/au:+Mittal_S/0/1/0/all/0/1">Sudip Mittal</a>, <a href="http://arxiv.org/find/cs/1/au:+Rahimi_S/0/1/0/all/0/1">Shahram Rahimi</a> Posted: June 23, 2023

Generative Artificial Intelligence (GenAI) has emerged as a powerful
technology capable of autonomously producing highly realistic content in
various domains, such as text, images, audio, and videos. With its potential
for positive applications in creative arts, content generation, virtual
assistants, and data synthesis, GenAI has garnered significant attention and
adoption. However, the increasing adoption of GenAI raises concerns about its
potential misuse for crafting convincing phishing emails, generating
disinformation through deepfake videos, and spreading misinformation via
authentic-looking social media posts, posing a new set of challenges and risks
in the realm of cybersecurity. To combat the threats posed by GenAI, we propose
leveraging the Cyber Kill Chain (CKC) to understand the lifecycle of
cyberattacks, as a foundational model for cyber defense. This paper aims to
provide a comprehensive analysis of the risk areas introduced by the offensive
use of GenAI techniques in each phase of the CKC framework. We also analyze the
strategies employed by threat actors and examine their utilization throughout
different phases of the CKC, highlighting the implications for cyber defense.
Additionally, we propose GenAI-enabled defense strategies that are both
attack-aware and adaptive. These strategies encompass various techniques such
as detection, deception, and adversarial training, among others, aiming to
effectively mitigate the risks posed by GenAI-induced cyber threats.

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