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

back to overview

Type and Duration

PhD-Thesis, since September 2021

Coordinator

Hilti Chair for Data and Application Security

Main Research

Business Process Management

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.

PhD-Student

Saskia Laura Schröer, MSc

Supervisor

Prof. Dr. Pavel Laskov

Co-Supervisor

Prof. Sven Dietrich

Assoc. Prof. Sune Dueholm Müller