Big data environment,illegal intrusion detection is an important means to ensure computer security.Through the illegal intrusion detection,to ensure the security of the computer from the network Trojans,viruses and other attacks,so the large data environment under the network intrusion detection system is imperative,but most of the current network intrusion detection system is imperfect,its complex system structure is not conducive to maintenance and use of the problem.In this paper,a design method of network intrusion detection system based on PB neural network is proposed.Firstly,based on the analysis of the function of network intrusion detection system under large data environment,the module of the system is designed and analyzed.Based on the realization of the function of the module,on the basis of the large data environment under the network intrusion detection system performance indicators,sampling chip,USB interface control chip,FPGA,power management chip and other hardware design selection,complete the system hardware design.And the accuracy of network intrusion detection system detection in large data environment is improved by PB neural network algorithm,and the intrusion detection process based on BP neural network algorithm is given to realize the design of network illegal intrusion detection system under large data environment.Experiments show that the illegal intrusion detection system in the large data environment designed by this method proves that the system can detect the illegal intrusion in time and accurately,and promote the research and development in this field.%大数据环境下,非法入侵检测是保证计算机安全的重要手段;通过非法入侵检测,保证计算机免遭网络中木马病毒等的攻击,因此对大数据环境下网络非法入侵检测进行系统设计是必要的;目前大多数网络非法入侵检测系统是通过归纳当前网络非法入侵检测系统存在的优缺点,指出网络非法入侵检测系统存在的问题,确定其发展方向;但这种方法存在系统结构复杂,不利于维护和使用的问题;为此,提出一种基于PB神经网络的大数据环境下网络非法入侵检测系统设计方法,首先在分析大数据环境下网络非法入侵检测系统功能的基础上,对系统的模块进行设计,并分析各模块所实现的功能,在此基础上,对大数据环境下网络非法入侵检测系统的性能指标、采样芯片、USB接口控制芯片、FPGA、电源管理芯片等硬件进行设计选型,完成系统的硬件设计,并且通过PB神经网络算法提高大数据环境下网络非法入侵检测系统检测的准确性,并给出基于BP神经网络算法的入侵检测实现过程,从而实现大数据环境下网络非法入侵检测系统设计;实验证明,所提方法设计的大数据环境下网络非法入侵检测系统运行速度较快,能够及时准确对网络非法入侵行为进行检测,推动该领域的研究发展.
展开▼
