计算机与数字工程2017，Vol.45Issue(12)：2332-2335,2556,5.DOI:10.3969/j.issn.1672-9722.2017.12.002
基于改进人工蜂群算法的网络突发事件预测
Prediction of Network Incident Based on Improved Artificial Bee Colony Algorithm
摘要
Abstract
Because of the complexity of the prediction of network emergencies,the prediction results of traditional network emergencies are not satisfactory. In response to this situation,the traditional search algorithm of artificial bee colony algorithm (ABC)has been improved greatly.The traditional single search formula is extended to a search formula for the employed bees and the follower bees,respectively.According to the swarm intelligence emergence principle of the artificial bee colony algorithm,the improved artificial bee colony algorithm(IABC)is introduced into the network group environment for predicting the occurrence of network emergencies.Based on this,a prediction algorithm for network emergencies based on improved artificial bee colony is pro?posed.The K nearest neighbor classifier(KNN),ABC,GABC、IABC four algorithms are used to evaluate the corpus.The experi?mental results show that the proposed algorithm is optimal in the prediction accuracy,recall rate and comprehensive evaluation in?dex of the network emergency prediction.So it can be used in practice.关键词
网络突发事件/人工蜂群算法/搜索公式/热点事件Key words
network emergent event/artificial bee colony algorithm/search formula/hot spot event分类
信息技术与安全科学引用本文复制引用
蒲国林,刘笃晋,李杰..基于改进人工蜂群算法的网络突发事件预测[J].计算机与数字工程,2017,45(12):2332-2335,2556,5.基金项目
国家自然科学基金项目(编号:61152003) （编号:61152003）
四川省教育厅重点项目(编号:16ZA0353) （编号:16ZA0353）
四川省教育厅项目(编号:17ZB0377) （编号:17ZB0377）
四川省教育厅项目(编号:16ZB0360) （编号:16ZB0360）
四川文理学院2015年度特色培育一般项目(编号:2015TP001Y)资助. （编号:2015TP001Y）
