网络安全与绿色低碳融合研究OA

Under the backdrop of the"dual carbon"goals,the energy consumption issue in cybersecurity operations has drawn increasing attention.This study takes a think tank research institution of a state-owned enterprise as a case,employs a single-case study method,and constructs an energy consumption measurement model based on the"equipment power factor method"to depict the energy consumption profile of the entire cybersecurity operation process.The study finds that the traditional"full-time monitoring"mode is mismatched with the"low-frequency and high-sensitivity"business characteristics of the think tank institution,leading to long-term idling of equipment,with the energy consumption of daily on-duty operations accounting for over 80%,and the effective utilization rate of core equipment being less than 10%.Based on this,this study constructs a trinity framework of"technology,management and system"for green and secure operations,and proposes optimization measures such as hierarchical sleep for the situation awareness platform,graded storage of log data,and lightweight inference of AI models.It is estimated that the energy consumption of core security equipment can be reduced by more than 15%.The research findings provide a reference path for similar think tank institutions to balance security compliance and energy consumption assessment,and promote the green transformation of cybersecurity operations..