摘要
群体智能在特征选择中的研究与应用是当今入侵检测领域的一个研究热点。参阅大量相关文献,分析不同群体智能优化算法求解特征子集的应用及改进方法,总结其优缺点。列举了一些不同群体智能优化算法的结合及改进方法,取得了较为明显的效果,这也是今后入侵检测领域的一个研究趋势。
The research and application of swarm intelligence are the research hotspots in the field of intrusion detection nowadays.Based on lots of the related literatures,applied and improved methods of swarm intelligence optimization algorithms to solve the feature subnet were analyzed and the advantages and disadvantages were summarized.Then,the combined and improved methods of different swarm intelligence optimization algorithms obtained some obvious results were enumerated,which are the research trends in the field of intrusion detection.
作者
梁本来
LIANG Ben-lai(School of Information Engineering,Zhongshan Polytechnic,Zhongshan 528404,China)
出处
《电脑知识与技术》
2020年第19期30-32,共3页
Computer Knowledge and Technology
基金
广东省普通高校青年创新人才项目(2017GkQNCX085)
中山市社会公益科技研究项目(2019B2046)
中山职业技术学院青年科研骨干教师培养项目(2019GG05)。
关键词
特征选择
特征子集
群体智能
入侵检测
信息安全
feature selection
feature subset
swarm intelligence
intrusion detection
information security
