摘要
随着云计算的发展和应用范围的不断扩大,云环境下的安全和隐私问题日益突出。传统的入侵检测系统已经远远不能满足当今海量数据的要求,建立云环境下高效的入侵检测系统已经成为入侵检测领域的重要研究方向。基于云计算提供的超大规模的计算能力和海量存储能力,提出了一种基于云环境的入侵检测系统,系统能够对海量入侵检测数据学习,实时检测,在入侵检测的效率和精度上比传统的入侵检测系统有所提高。
With the development of cloud computing, and continuos expansion of its application range, the security and pri- vacy issues under cloud environment become increasingly prominent. However, the traditional intrusion detection system can't satisfy the requirement of mass data nowadays, the establishment of high-efficiency intrusion detection system under cloud envi- ronment has become the important research direction of the intrusion detection field. On the basis of ultra-large-scale computing power and massive storage capacity provided by cloud computing, an intrusion detection system based on cloud environment is proposed. This system is able to learn and detect the massive intrusion detection data in real time, and its intrusion detection ef- ficiency and accuracy are higher than those of the traditional intrusion detection system.
作者
王海珍
WANG Haizhen(School of Computer Science and Technology, Inner Mongolia University for Nationalities, Tong|iao 028000, Chin)
出处
《现代电子技术》
北大核心
2016年第21期107-111,共5页
Modern Electronics Technique
基金
内蒙古民族大学科学研究基金资助项目:单片机实验系统的开发与应用(NMDYB15082)
基于模糊技术的图像处理方法研究(NMDYB15011)
关键词
云计算
入侵检测系统
MRGA-BP均值法
入侵检测效率
cloud computing
intrusion detection system
MRGA-BP mean value method
intrusion detection efficiency