Insights from 2022 Research: AI-driven Cyber Attacks
Hamza Demirel
Lead Cybersecurity Consultant || SOC Operations || Cybersecurity Lecturer || CASP+ || CySA+ || Security+
A 2022 study in Applied Artificial Intelligence journal offers an analysis of AI-driven cyberattacks and their implications.
Methodology: The researchers conducted a comprehensive review of 46 articles focused on AI-driven cyberattacks, handpicked from an initial pool of 936 papers across several databases.
Key Findings:
* The majority (56%) of the AI-driven cyberattack techniques identified were demonstrated in the access and penetration stage of the cybersecurity kill chain.
* Conventional cybersecurity techniques have difficulty detecting and mitigating AI-driven attacks due to the swift pace, complex decision logic, and variable nature of these attacks.
*?Existing research reveals that 63% of studies focus on the implementation and evaluation of AI-driven cyberattacks, 25% propose new frameworks, and 12% aim at executing such attacks.
* AI-driven attacks have the potential to evolve and learn, making detection more challenging.
https://www.tandfonline.com/doi/full/10.1080/08839514.2022.2037254?scroll=top&needAccess=true&role=tab
Blessing Guembe, Ambrose Azeta, Sanjay Misra, Victor Chukwudi Osamor, Luis Fernandez-Sanz & Vera Pospelova?(2022)?The Emerging Threat of Ai-driven Cyber Attacks: A Review,?Applied Artificial Intelligence