Cyber Arena

Huff, Philip; Leiterman, Sandra; Springer, Jan P.

doi:10.1145/3545945.3569828

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…The system uses artificial intelligence algorithms to adapt scenarios to users' skills and experience levels. This allows each training session to be relevant and challenging for the individual, regardless of their skill level [18].…”

Section: Operation Of the Training Environmentmentioning

confidence: 99%

Developing a Cybersecurity Training Environment through the Integration of OpenAI and AWS

Villegas-Ch,

Govea,

Ortiz-Garces

2024

Applied Sciences

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Cybersecurity is a critical concern in today’s digital age, where organizations face an ever-evolving cyber threat landscape. This study explores the potential of leveraging artificial intelligence and Amazon Web Services to improve cybersecurity practices. Combining the capabilities of OpenAI’s GPT-3 and DALL-E models with Amazon Web Services infrastructure aims to improve threat detection, generate high-quality synthetic training data, and optimize resource utilization. This work begins by demonstrating the ability of artificial intelligence to create synthetic cybersecurity data that simulates real-world threats. These data are essential for training threat detection systems and strengthening an organization’s resilience against cyberattacks. While our research shows the promising potential of artificial intelligence and Amazon Web Services in cybersecurity, it is essential to recognize the limitations. Continued research and refinement of AI models are needed to address increasingly sophisticated threats. Additionally, ethical and privacy considerations must be addressed when employing AI in cybersecurity practices. The results support the notion that this collaboration can revolutionize how organizations address cyber challenges, delivering greater efficiency, speed, and accuracy in threat detection and mitigation.

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Section: Operation Of the Training Environmentmentioning

confidence: 99%