Secure API Microservices : Integrating Deep Neural Networks with Blockchain for End-to-End Security
Keywords:
Microservices Security, Blockchain Authentication, Deep Learning IDS, API Protection, Cyber Threat MitigationAbstract
The increasing adoption of microservices architectures has introduced significant security challenges, including API vulnerabilities, unauthorized access, and cyber threats. This paper proposes a hybrid security framework integrating deep neural networks (DNNs) for real-time threat detection and blockchain for immutable transaction logging. Our approach enhances API security by leveraging AI-based intrusion detection and decentralized authentication while mitigating API-based DDoS attacks and unauthorized access. Simulations and real-world testing show 98% accuracy in threat detection with minimal latency overhead (~150ms). Despite challenges like blockchain speed and AI false positives, optimizations such as Layer-2 scaling and hybrid anomaly detection improve performance, ensuring scalable, end-to-end security.
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