SPECTRA: Secure Framework for Adaptive Frequency Hopping and Decentralized Storage

Abstract

In highly dynamic and interference-prone environments, secure access to wireless communication spectrum and protection of user privacy present significant challenges. To address these issues, this paper proposes a novel framework called the Secure and Privacy-Enhanced Channel Transmission Architecture (SPECTRA). SPECTRA enables fine-grained access control policies defined by a trusted authority and enforces them through distributed Semi-Trusted Distributed Servers (STDSs) using Attribute-Based Encryption and Zero-Knowledge Proofs. This design allows for dynamic spectrum authorization without revealing the requester's sensitive attributes. Furthermore, the frequency-hopping process is modeled as a Markov Decision Process (MDP), and optimized through Proximal Policy Optimization (PPO) to adaptively enhance communication reliability and resistance to interference. SPECTRA also supports both secure replacement and secure incremental update mechanisms, incorporating hash aggregation and elliptic curve signature-based batch verification to improve the efficiency and security of multi-request authentication. Extensive simulations demonstrate that SPECTRA achieves high-accuracy access control, effective communication privacy preservation, and stable frequency-hopping performance under adversarial and uncertain conditions.