南京理工大学学报（自然科学版）2025，Vol.49Issue(2)：192-200,9.DOI:10.14177/j.cnki.32-1397n.2025.49.02.007
利用区块链智能合约技术的协同网络入侵检测系统
Cooperative network intrusion detection system via blockchain smart contract technology
摘要
Abstract
In order to improve network attack detection accuracy and improve data privacy,a blockchain-based cooperative network intrusion detection system(B-CIDS)is proposed.Firstly,Gaussian mixture model(GMM)and local outlier factor(LOF)based intrusion detection system(IDS)is deployed on different cloud nodes,in which the GMM is used to build a non-abnormal data model,fitting the characteristic boundary of each record.Then,the attack threshold is accurately defined with the LOF function to achieve precise detection of various types of attacks.Finally,different IDS are integrated by the alarm data aggregation mechanism based on blockchain and smart contract to realize privacy-preserving cooperative intrusion detection.The experimental results show that the proposed method can efficiently detect various internal and external attacks.The average detection accuracy is between 95%and 99%,and it can identify malicious behaviors that damage cloud services.The detection rate and false alarm rate are better than other compared methods,ensuring the data confidentiality,authenticity and integrity of all B-CIDS nodes.关键词
协同入侵检测系统/高斯混合模型/局部异常因子/区块链/智能合约Key words
cooperative intrusion detection system/Gaussian mixture model/local outlier factor/blockchain/smart contract分类
电子信息工程引用本文复制引用
朱雯曦,马琳娟,王怡鸥..利用区块链智能合约技术的协同网络入侵检测系统[J].南京理工大学学报（自然科学版）,2025,49(2):192-200,9.基金项目
浙江省教育厅访问工程师校企合作项目(FG2024234) （FG2024234）
