一种区块链驱动的生物启发式威胁检测方法  

Blockchain-based bio-inspired distributed detection approach

作　　者：谢奕希 吉立新 XIE Yixi;JI Lixin(Institute of Information Technology,Information Engineering University,Zhengzhou 450000,China)

机构地区：[1]解放军信息工程大学信息技术研究所,河南郑州450000

出　　处：《西安电子科技大学学报》2020年第5期70-76,93,共8页Journal of Xidian University

基　　金：国家重点研发计划基金(2018YFB0804004);国家自然科学基金创新研究群体基金(61521003)。

摘　　要：生物启发式检测系统因其固有的自适应性、弹性部署和全局智能等特点而在5G、物联网等领域受到广泛关注,然而其自身缺乏安全机制,可能成为攻击目标而带来新的安全风险。基于对此类生物启发检测系统的架构组成和潜在安全风险的分析,针对传统分布式检测系统可能遭受中间人攻击和共谋攻击的问题,提出一种基于区块链的分布式数字蚂蚁安全检测方法。该方法使用聚合签名的方式来提高系统的隐私性,对检测数据进行加密,基于共识机制进行分布式威胁评估。基于区块链的分布式数字蚂蚁安全检测方法将数字蚂蚁威胁检测系统改造成一个区块链应用,利用区块链的结构优势有效地提高了威胁检测服务的鲁棒性。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.

关 键 词：区块链 共识机制 生物启发安全 分布式检测系统 

分 类 号：TN915.08[电子电信—通信与信息系统]