ADAPTIVE AI-DRIVEN ON-DEMAND PACKET INSPECTION FOR LOW-LATENCY MARKET DATA CONNECTIVITY BETWEEN PEER EXCHANGES

Authors

  • Suresh Kumar Balakrishnan

Keywords:

Artificial Intelligence, Packet Inspection, Low-Latency Networks, Market Data Distribution, High-Frequency Trading, Network Security, FPGA Acceleration

Abstract

Financial trading environments increasingly demand ultra-low-latency market data deliverybetween peer exchanges while maintaining robust security protocols and deterministic packetflow. Traditional inspection methodologies employ stateful or deep packet inspection across all network packets

References

Antonakakis, M., April, T., Bailey, M. and Bernhard, M. (2017) 'Understanding the Mirai Botnet', Proceedings of the 26th USENIX Security Symposium, pp. 1093-1110.

Bhuyan, M.H., Bhattacharyya, D.K. and Kalita, J.K. (2023) 'Network Anomaly Detection: Methods, Systems and Tools', IEEE Communications Surveys & Tutorials, 16(1), pp. 303-336.

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Published

2023-08-15

How to Cite

Suresh Kumar Balakrishnan. (2023). ADAPTIVE AI-DRIVEN ON-DEMAND PACKET INSPECTION FOR LOW-LATENCY MARKET DATA CONNECTIVITY BETWEEN PEER EXCHANGES. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 2008–2038. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3884

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Articles