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Cybersecurity threats detection in intelligent networks using predictive analytics approaches
Conference proceeding   Open access   Peer reviewed

Cybersecurity threats detection in intelligent networks using predictive analytics approaches

Shomili Duary, Pratyusha Choudhury, Sushruta Mishra, Vandana Sharma, Deepak Dasaratha Rao and Adedapo Paul Aderemi
2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM)
2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM) (Noida, India, 21/02/2024–23/02/2024)
24/06/2024

Abstract

AI (Artificial Intelligence) cyber security cyber threats threat detection
The modern scenario of network vulnerabilities necessitates the adoption of sophisticated detection and mitigation strategies. Predictive analytics is surfaced to be a powerful tool in the fight against cybercrime, offering unparalleled capabilities for automating tasks, analyzing vast amounts of data, and identifying complex patterns that might elude human analysts. This paper presents a comprehensive overview of how AI is transforming the field of cybersecurity. Machine intelligence can bring revolution to cybersecurity by providing advanced defense capabilities. Addressing ethical concerns, ensuring model explainability, and fostering collaboration between researchers and developers are crucial for maximizing the positive impact of AI in this critical domain.
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