面向边缘计算的安全态势感知模型

Security Situational Awareness Model for Edge Computing

边缘计算现在被广泛应用于工业物联网。由于边缘计算设备靠近终端,拥有大量的私人用户信息和丰富的数字资产,因此非常容易受到攻击。鉴于此,提出一种边缘计算设备的态势感知模型,在边缘设备对其自身的状态和数据进行量化,通过状态转移矩阵分析不同时刻下系统的状态是否正常,以此对系统可能遭遇的攻击进行警示和检测,以达到保护边缘设备安全的目的。最后,通过实验验证了所提的态势感知模型能够准确展示边缘设备运行的安全状态情况。

Edge computing is now widely used in industrial IoT.Because edge computing devices are close to terminals,and has a large amount of private user information and rich digital assets,it is very vulnerable to attacks.Therefore,a situational awareness model for edge computing devices is proposed,in which edge devices quantify their own state and data.The state transfer matrix is used to analyze whether the state of the system is normal at different times,so as to alert and detect possible attacks on the system to achieve the purpose of protecting the security of edge devices.Finally,the proposed situational awareness model is verified through experiments to be able to accurately demonstrate the security state situation of edge devices operation.