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基于预测模型的云漏洞扫描调度算法

loud network security vulnerability scanning schedule algorithm based on prediction model

中文摘要英文摘要

企业和个人用户对于自身系统的安全性检测愈加重视,基于云平台提供安全漏洞扫描服务可以降低用户使用门槛,可扩展的云资源可以更快地响应用户的检测需求。任务调度是漏洞扫描服务应用于云平台的关键技术。基于云计算的漏洞扫描系统要求调度算法能区别不同类型用户的扫描请求,按照不同的优先级提供服务。本文使用网络流量预测模型,对扫描任务进行建模预测,并通过定义评测算子,对扫描任务进行有效调度。保证系统任务吞吐量的同时,提供差异化的安全漏扫服务。

he system security scanning has become more and more important to both industrial and personal users. The security vulnerability scanning service, which is based on cloud platform, can make the service easier to be used and quicker to response, with the help of extensible resources on the cloud. Task scheduling is the key part of security scanning system deployment on cloud platform. The schedule algorithm should take users' different requirements into consideration. This thesis uses the network traffic prediction model to predict the coming scanning tasks. To schedule the tasks, we define a valuation factor. This schedule algorithm can support differentiation service, with the throughput capacity guaranteed.

王玉龙、贾梦琦

计算技术、计算机技术通信

计算机软件漏洞扫描预测模型任务调度

omputer softwareVulnerability scanningPrediction modelTask schedule

王玉龙,贾梦琦.基于预测模型的云漏洞扫描调度算法[EB/OL].(2014-12-25)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/201412-789.点此复制

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