Electric power communication network anomaly detection method based on a D-S evidence theory
A technology of power communication network and evidence theory, applied in the field of power communication network network anomaly detection based on D-S evidence theory, can solve problems such as low accuracy of network anomaly detection, and achieve the effect of speeding up judgment
Inactive Publication Date: 2020-05-22
GUANGDONG POWER GRID CO LTD +1
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Problems solved by technology
[0005] In order to overcome the problem of low accuracy of network anomaly detection in the above-mentioned prior art, the present invention provides a power communication network network anomaly detection method based on D-S evidence theory, which can effectively improve the perception of network anomalies and their types in power communication networks accuracy, and real-time detection of network anomalies can be realized based on real-time data fusion
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Embodiment 1
[0042] like Figure 1-2 Shown is an embodiment of a method for detecting anomalies in a power communication network network based on the D-S evidence theory, including the following steps:
[0043] Step 1: Set the recognition framework established through the existing knowledge base or expert experience as Z={a 1 , a 2 ,...,a n} Among them, Z is the recognition frame, a i (1≤i≤n) indicates the event type, where any two objects in the frame are mutually exclusive, and n is the number of objects in the frame;
[0044] The indicators selected in the power communication network system are as follows: traffic information: the inflow size of each network node traffic is NETWORK_IN (NI), and the network traffic outflow is large NETWORK_OUT (NO); the operation information includes: the total number of services running on each host SERVICE_NUM ( SN), the average visit volume VISIT_NUM(VN) and visit frequency VISIT_FREQ(VR) of each service running on the host; the alarm information ...
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The invention relates to the field of power communication networks. More specifically, the present invention relates to an electric power communication network anomaly detection method based on a D-Sevidence theory. The method comprises the following steps: firstly, extracting key features from data acquired from a power communication network; then determining BBA in an identification framework in the D_S evidence theory based on a K-means clustering method, then using expert experience or an expert system for determining the identification framework, and finally using a Dempster combinationrule for fusion and decision making. By adopting the method provided by the invention, the sensing accuracy of the network anomaly and the type thereof in the power communication network can be effectively improved, and the real-time detection of the network anomaly can be realized according to the real-time fusion of the real-time data.
Description
technical field [0001] The invention relates to the field of electric power communication network, and more specifically, relates to a method for detecting abnormality of electric power communication network network based on D-S evidence theory. Background technique [0002] With the advancement of smart grid research and practice, the traditional power grid is gradually integrating with information communication systems and monitoring and control systems. The security of power communication networks is closely connected with the safety of power grid operation. The security of power communication networks is the top priority of power grid security. Heavy. [0003] The power communication network system has the characteristics of complexity and dynamics, and has a certain degree of vulnerability. However, security incidents such as denial of service attacks, network scanning, network deception, virus Trojan horses, and information leakage emerge in endlessly. The work has br...
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IPC IPC(8): H04L29/06G06K9/62
CPCH04L63/1416H04L63/1425G06F18/23213G06F18/25G06F18/257
Inventor 莫穗江高国华李瑞德王锋张欣欣温志坤黄定威杨玺张欣汤铭华梁英杰廖振朝陈嘉俊李伟雄童捷张天乙
Owner GUANGDONG POWER GRID CO LTD