Cyber attacks are increasing at an alarming rate and surpassing the traditional means of fighting off human-driven security, which therefore requires automatic defense. The paper introduces a framework that includes artificial intelligence to use intelligent threat response by incorporating a Graph Attention Network-ba...
Naga Naveena Chennupati· 2026 6th International Confe...· 0 citations
The increased attack surface of the sixth generation (6G) network makes old security measures ineffective. In the current paper, the AI-based optimization framework is suggested, combining deep reinforcement learning (DRL) to respond to adaptive threat mitigation and federated learning (FL) to privacy-preserving anomal...
Naga Naveena Chennupati· 2026 7th International Confe...· 0 citations
The integration of IoT into smart cities exposes serious cyber security risks, which old centralized designs would fail to combat. In this paper, the model suggests a unified system that would use AI and block chain technology to protect smart city IoT systems. A lightweight hybrid CNN-LSTM model is used to detect anom...
Their combination of adversarial AI attacks with cryptographically relevant quantum computers endangers the traditional public-key infrastructure. This paper proposes a hybrid system that combines real-time deep learning-based threat detection and Quantum Key Distribution (QKD) to secure communication systems. A convol...
Naga Naveena Chennupati· International Conference Com...· 0 citations
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