Abstract
Network Security in Cloud-Based Digital Music Classrooms (NS-CDMC) is a novel architecture that secures critical educational environments. RBAC, fine-grained ABE, dynamic TBAR, secure session creation, data integrity verification, and proactive anomaly-based intrusion detection are used in NS-CDMC. The NS-CDMC model has demonstrated superior performance across critical security metrics compared to several benchmark methods. Key results include an Anomaly Detection Rate (ADR) of 0.96, outperforming other methods and indicating the model’s ability to detect sophisticated threats and insider misuse. The model handles access requests efficiently with an Access Control Decision Latency of 48 ms, comparable to or lower than other benchmark techniques. Additionally, the NS-CDMC model has a substantially lower False Positive Rate (FPR) of 0.03, minimizing unnecessary interruptions and improving operational smoothness in digital music classrooms. Simulations for the NS-CDMC model captured access choices, trust score changes, anomaly scores, and Attribute-Based Encryption (ABE) policy applications. The NS-CDMC security framework provides a secure, real-time, and user-friendly environment for digital music classrooms using ABE, Trust-Based Access Refinement (TBAR), and anomaly detection. ABE restricts content decryption to authorized users based on roles, courses, and instruments. TBAR dynamically adjusts access control based on user trust scores, which reflect behavior in the system.
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