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Real-Time Detection of Cyber Threats in Encrypted Cloud Traffic Using CNN-LSTM Networks

Year: 2025

Type: article

Abstract: A hybrid CNN-LSTM model for real-time intrusion detection in encrypted cloud traffic, achieving 99.64% accuracy while preserving user privacy using flow-based metadata.

Source: International Journal on Science and Technology

DOI: 10.71097/ijsat.v16.i2.4962

Authors: K H N Harshith -, B Vinay Surya Teja -, G Phanidra -, Dr. N Saranya -

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4410850449

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