大数据时代医院网络安全防御架构研究与设计

Research and Design of Hospital Network Security Defense Architecture in the Era of Big Data

随着互联网、云计算、大数据等技术的快速发展和改进,医院已经引入了许多的信息化系统,覆盖了门诊挂号、诊断治疗、住院用药等领域,提高了医院信息化和共享化水平。但是,大数据时代,医院网络也面临着许多木马、病毒和黑客攻击等危险,因此文章构建了一个全方位纵深防御架构,该架构可以集成蜜罐技术和深度学习技术,进一步提高网络安全防御的主动性,大幅度提高网络安全防御能力。

With the rapid development and improvement of internet,cloud computing,big data and other technologies,the hospital has introduced many information systems,covering outpatient registration,diagnosis and treatment,inpatient medication and other fields,improving the level of hospital information and sharing.However,in the era of big data,the hospital network is also faced with many dangerous factors such as Trojans,viruses and hacker attacks.Therefore,this paper constructs a comprehensive defense in depth architecture,which can integrate honeypot technology and deep learning technology,further improve the initiative of network security defense,and greatly improve the network security defense ability.