基于大数据技术的智慧校园安全策略探析与研究

On Smart Campus Security Strategy Based on Big Data Technology

随着云计算、虚拟现实、物联网和人工智能等为代表的新兴技术与高等教育的深度融合,高校信息化建设已从数字化逐步迈入智慧化阶段,校园内人、物的关联性和复杂度不断提高,各种服务及应用系统日益增多,平台数据呈海量式增长,对高校网络安全带来较大冲击.传统安全策略重点放在检测与防御上,且大都是被动防御,难以适应大数据背景下的智慧校园网络安全保障需求.针对校园网络信息系统中普遍存在的安全问题提出基于分层安全框架的安全策略,形成纵深化立体防御体系,以期为智慧校园各项应用保驾护航.

With the deep integration of cloud computing, virtual reality, network of things, artificial intelligence and higher education, informationization construction in colleges and universities has been from digital stage to smart stage, where people, things in campus are more closely connected and service and application systems are increasing and platform data is increasing in a tremendous way, which bring a bigger attack upon college network security. The traditional security strategies are mainly on testing and prevention in a passive way, unsuitable to meet the smart campus network security guarantee requirements of big data. The paper has studied the existing security problems in campus network information system and proposed to form comprehensive three-dimensional prevention system based on layered security framework so as to offer security guarantee for smart campus applications.