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作 者:傅仕琛 胡志杰 张年臻 卓俊彦 吴浚弘 戴骅巍 FU Shichen;HU Zhijie;ZHANG Nianzhen;ZHUO Junyan;WU Junhong;DAI Huawei(State Grid Zhangzhou Electric Power Supply Company of Fujian Power Company,Zhangzhou 363000,Fujian,China)
机构地区:[1]国网福建省电力有限公司漳州供电公司,福建漳州363000
出 处:《电力大数据》2022年第10期81-86,共6页Power Systems and Big Data
摘 要:近年来物联网场景及现网场景中尤其是电力通信网中漏洞的数量不断增加,能否有效地、高效地检测到设备的漏洞信息,直接决定能否及时设计有效且高效的预防方案,减少损失。在电力通信网中,数据通信网设备在漏洞检测方面存在空白,并且普遍存在设备安全性较差,若遭受外来恶意侵入,容易引起网络瘫痪,威胁电力通信系统安全。通常在数据通信网设备进行漏洞检测时,需要专业的网络安全人员进行手动逐一检测漏洞,并且往往需要特定的硬件设备,场景针对性不强,操作复杂,携带不方便。本文针对电力数据通信网场景,设计开发针对性强,可批量检测,识别速度快,识别漏洞全,内部闭环,安全性强,轻量化的电力数据通信网设备漏洞检测系统。In recent years, the number of vulnerabilities in IoT scenarios and existing network scenarios, especially in power communication networks, has increased gradually. The vulnerability information of equipment detected effectively and efficiently directly determines whether an effective and efficient prevention plan can be designed in time, reducing losses. In the power communication network, there are gaps in the vulnerability detection of data communication network equipment, and the equipment security is generally poor. If it is maliciously invaded by outsiders, it is easy to cause network paralysis and threaten the security of the power communication system. Usually, professional network security staff are required to manually detect vulnerabilities one by one when performing vulnerability detection on data communication network equipment, which often requires specific hardware devices. And the scenario is not very targeted, the operation is complicated, and it is inconvenient to carry. For the power data communication network scenario, this paper designs and develops a power data communication network equipment vulnerability detection system with strong pertinence, batch detection, fast identification speed, full identification loopholes, internal closed-loop, strong security, and lightweight.
分 类 号:TM919[电气工程—电力电子与电力传动]
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