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首页|期刊导航|南京理工大学学报(自然科学版)|基于合约熵判决算法的区块链网络DDoS防御优化

基于合约熵判决算法的区块链网络DDoS防御优化OA北大核心CSTPCD

Optimization of blockchain network DDoS defense based on contract entropy judgment algorithm

中文摘要英文摘要

为针对多域协同联合防御分布式拒绝服务(DDoS)更有效发挥区块链网络优势,该文提出智能合约熵检测(SCED)算法.基于Hyperledger Fabric区块链架构,首先,通过智能合约技术构建多域协作机制,建立智能合约协作子算法;然后,针对受害域内非法流量IP生成IP黑名单,并通知所有协作域,协同防御DDoS;其次,在各单域内部署由监测、比对、分类及防御模块组成的熵判决防御子算法,检测处理域内非法流量;最后,结合多域智能合约协作和单域熵判决防御,实现区块链网络中受害域、中间域及攻击域协同防御DDoS.仿真结果表明,对比ChainSecure等算法,SCED算法在精度和效率方面有较好的表现.

To better leverage the advantages of blockchain networks in multi-domain collaborative defense against distributed denial of service(DDoS),a smart contract entropy detection(SCED)algorithm is proposed.based on the Hyperledger Fabric blockchain architecture,firstly,a multi-domain collaboration mechanism is built through blockchain smart contract technology,establishing smart contract collaboration sub-algorithms;then,IP blacklists are generated for illegal traffic IP in the victim domain,and all cooperative domains are notified to coordinate defense against DDoS;then,an entropy judgment defense sub-algorithm composed of monitoring,comparison,classification,and defense modules is deployed in each single-domain to detect and process illegal traffic in the domain;finally,coordinated defense against DDoS is achieved in the victim domain,intermediate domain,and attack domain in the blockchain network by combining multi-domain smart contract cooperation and single-domain entropy judgment defense.The simulation results show that,compared with the ChainSecure algorithm and so on,the SCED algorithm has a better performance in terms of accuracy and efficiency.

刘云;陈路遥;宋凯;朱鹏俊

昆明理工大学信息工程与自动化学院,云南昆明 650500

计算机与自动化

分布式拒绝服务区块链智能合约信息熵贝叶斯分类器

distributed denial of serviceblockchainsmart contractinformation entropyBayesian classifier

《南京理工大学学报(自然科学版)》 2024 (002)

175-181 / 7

国家自然科学基金(61761025)

10.14177/j.cnki.32-1397n.2024.48.02.007

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