In order to solve the problems of difficult safety control and low intelligence level in substation maintenance operation, a substation monitoring system based on artificial intelligence is proposed in this paper, which gives early warning and supervision to the safety protection of substation maintenance operators and the safety production of construction behavior. On the one hand, the paper builds the image sample library by collecting employee image information and capturing personnel images through monitoring equipment such as intelligent camera; On the other hand, HOG algorithm, CNN and image processing algorithm are used to build the operation and maintenance detection model. By exporting the personnel images to the face recognition model, safety helmet intelligent detection model and personnel clothing intelligent detection model for detection, the accuracy of the system is improved, and then the monitoring of personnel entering and leaving the substation is realized, and the information and intelligent level of substation safety control is effectively improved.
Distributed Denial of Service (DDoS) is a huge hazard to Software-Defined Networks (SDN). Active defense technology is one of the effective measures to ensure the security of SDN. Active defense can increase the difficulty of the attacker's attack and reduce the probability of being attacked successfully. However, the active defense method based on port hopping has the problems of fixed hopping strategy, lack of flexibility and poor security (for example, it is easy for an attacker to grasp the law of server port hopping). Aiming at these problems, we proposed a Dynamic Moving Target Defense method based on Adaptive Port Hopping (DMTD-APH). The DMTD-APH combines the characteristics of SDN on the basis of port hopping and improves the flexibility of active defense by designing strategies such as hopping synchronization, hopping and forwarding, and adaptive hopping. At the same time, the DMTD-APH dynamically detects the network status through the source address entropy value and data flow rate method and performs time-adaptive or space-adaptive hopping adjustments to ports according to the detection results to build an adaptive active network defense model. The experimental results show that DMTD-APH enhances the anti-attack and service type of the network, and has stronger dynamics and security.
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