摘要： 分布式拒绝服务(DDoS)是目前攻击范围最广、破坏性最大的网络攻击之一。为此，提出一种基于数字蚂蚁的网络信息系统安全防御模型。利用蚁群优化算法计算网络中节点的资源相关性，构建一个防御DDoS攻击的数字蚂蚁联盟模型，通过确定DDoS攻击方式、标记数据报和限制流量3个步骤，实现一种具有群体智能和协同性的防御机制。
关键词:
网络信息系统,
数字蚂蚁,
蚁群优化算法,
防御联盟,
资源相关性,
分布式拒绝服务攻击
Abstract: Distributed Denial of Service(DDoS) is one of the most serious network attacks. this paper proposes a secure defense model based on digital ant for Web information system. By computing the resources correlation of peers by Ant Colony Optimization(ACO) algorithm, a defense alliance model against DDoS is constructed. A defense mechanism with swarm intelligence and concertedness is realized, which includes certaining DDoS attack method, tagging datagram and limiting flows.
Key words:
Web information system,
digital ant,
Ant Colony Optimization(ACO) algorithm,
defense alliance,
resources correlation,
Distributed Denial of Service(DDoS) attack
中图分类号:
谢嘉辰, 李新明, 李艺. 基于蚁群优化的DDoS防御技术研究[J]. 计算机工程, 2012, 38(17): 145-147.
XIE Jia-Chen, LI Xin-Meng, LI Yi. Research on DDoS Defense Technology Based on Ant Colony Optimization[J]. Computer Engineering, 2012, 38(17): 145-147.