AI-Driven Network Security in Financial Markets: Ensuring 100% Uptime for Stock Exchange Transactions
Keywords:
AI-driven security, financial trading networks, high-frequency trading, anomaly detectionAbstract
Network security based on AI has emerged as a very crucial component in ensuring the flexibility, low latency, and continuous availability of financial trading networks, especially in stock changes which required instant transaction processing. The increasing culture of cyber threats combined with the rapid growth of high frequency trading and algorithmic trading compel for an advance security framework that incorporates artificial intelligence in real time threat detection, predictive analytics, and automated incident response. This research paper examines the role of AI-powered network security in financial market which focuses on intrusion detection systems (IDS), anomaly detection using machine learning models, and self-healing network architectures which helps in minimizing downtime.
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