Revolutionizing DDoS Detection With Machine Learning And AI at 4th ASIANCON 2024
Revolutionizing DDoS Detection With Machine Learning And AI
In an age where online services are integral to industries, governments, and societies, cybersecurity has become one of the most pressing global concerns. With the growing reliance on digital infrastructures, Distributed Denial of Service (DDoS) attacks continue to pose a significant threat to the accessibility of critical internet services. These attacks aim to overwhelm targeted systems with traffic, causing widespread disruption. Despite advancements in cybersecurity, detecting and mitigating DDoS attacks remains one of the most challenging aspects of network security.
Innovative Methodology Presented by Himmat Rathore
Addressing these challenges head-on, Himmat Rathore and his research team have introduced an innovative methodology to enhance DDoS detection using Machine Learning (ML) and Explainable Artificial Intelligence (XAI) within Software-Defined Networking (SDN) architectures. This pioneering work was presented at the 4th ASIANCON 2024, a prestigious conference held in Pune, India, on August 24th, 2024.
- Technically co-sponsored by the IEEE Bombay Section
- Sponsored by AICTE New Delhi
- Gathered experts from around the world
The conference featured a range of groundbreaking contributions, but the paper by Rathore and his team stood out by showcasing their cutting-edge technological advancements.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.