基于云计算算法的校园网安全防护研究

校园网不仅能为学校的日常管理提供保障,还能为学生的学习和生活提供较大的帮助。但随着校园网络恶意攻击频次不断增加,导致校园网无法正常运行,严重影响学校教学数据、考勤管理等,因此需要进一步加强病毒入侵检测。为进一步提高校园网安全防护,本文提出利用云计算算法对校园网的病毒入侵进行检测,并利用蜻蜓算法改进云计算算法。实验结果表明,基于云计算的校园网安全防护实时检测方法在检测率和误报率方面都优于深度学习算法。云计算算法的检测防御率在85%到95%范围内变化,而传统的深度学习算法的检测防御率为55%到65%。尽管云计算算法仍有误报,但检测率仍高达97.78%。因此,云计算算法完全可以满足校园网系统的安全防护要求。

SATVPC:Secure-agent-based trustworthy virtual private cloud model in open computing environments

Private clouds and public clouds are turning mutually into the open integrated cloud computing environment,which can aggregate and utilize WAN and LAN networks computing,storage,information and other hardware and software resources sufficiently,but also bring a series of security,reliability and credibility problems.To solve these problems,a novel secure-agent-based trustworthy virtual private cloud model named SATVPC was proposed for the integrated and open cloud computing environment.Through the introduction of secure-agent technology,SATVPC provides an independent,safe and trustworthy computing virtual private platform for multi-tenant systems.In order to meet the needs of the credibility of SATVPC and mandate the trust relationship between each task execution agent and task executor node suitable for their security policies,a new dynamic composite credibility evaluation mechanism was presented,including the credit index computing algorithm and the credibility differentiation strategy.The experimental system shows that SATVPC and the credibility evaluation mechanism can ensure the security of open computing environments with feasibility.Experimental results and performance analysis also show that the credit indexes computing algorithm can evaluate the credibilities of task execution agents and task executor nodes quantitatively,correctly and operationally.

基于云计算的输变电施工图预算自适应分配方法

输变电施工图数据量庞大,预算分配的合理性降低,提出基于云计算的输变电施工图预算自适应分配方法。采用数学方式描述施工图预算分配问题,搭建预算自适应分配模型,采用云计算—IDE 算法求解预算自适应分配模型,求解结果即为分配结果。仿真实验结果显示:施工图预算与投标概算基本相符合,输变电工程竞价成本低于标准竞价成本,充分说明提出方法性能更佳。