Abstract:

The bio-inspired detection system has aroused wide attention in the fields of 5G and the Internet of things for the intrinsic features (e.g, inherent adaptivity, resiliency, and global intelligence). This paper first analyzes the architectural composition and potential security risks of such bio-inspired detection systems. Traditional distributed detection systems may suffer from man-in-the-middle attacks and collusion attacks. In this paper, a blockchain-based distributed security detection method, BDAF (Blockchain-based Digital Ants Framework), is proposed to address these problems. This method uses aggregate signatures to improve the privacy of the system, encrypt detection data, and conducts distributed threat assessment based on a consensus mechanism. The BDAF transforms the bio-inspired threat detection system into a blockchain application, which effectively improves the robustness by taking advantage of the structural benefits of the blockchain.

Key words: blockchain, consensus mechanism, bio-inspired security, distributed detection system