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Hackers and AI: Investigating Hackers' Technical Innovation Through the Lens of Cyber Threat Intelligence and Natural Language Processing

Project Description

The cyber threat landscape is constantly evolving, with new tools and technological advancements changing how adversaries conduct cyberattacks. With the progression of Artificial Intelligence (AI) and AI tools being openly available for various uses, attackers can leverage AI to drive attacks. These types of attacks are termed "offensive AI." Offensive AI enhances adversaries and enables them to launch more targeted and complex attacks that can be conducted at a higher frequency and larger scale. This dissertation shall provide a holistic overview of (i) how offensive AI changes the threat landscape and (ii) the limitations of offensive AI.

Project Participants

Employee
Prof. Dr. Pavel Laskov
- Supervisor
Professor - Data and Application Security Academic Director MSc IS - Liechtenstein Business School
Supervisor
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Employee
Dr. sc. Saskia Laura Schröer
- PhD-Student
PhD-Student
Prof. Sune Dueholm Müller
- Co-Supervisor
Co-Supervisor
Prof. Sven Dietrich
- Co-Supervisor
Co-Supervisor