Abstract:

As a lot of the video dedicated network acquisition equipments deployed in public areas, face more security issues. How to connect the video equipments safely and efficiently to the video dedicated network is very important. In this paper, we propose a decision tree classification algorithm of device fingerprint to solve the problem. According to the characteristics of the video equipments, we design the device fingerprint on the basis of the operating system fingerprint. Meanwhile, we also propose the collection and storage methods of the device fingerprint. The decision tree classification algorithm of fingerprint equipment can detect the non trusted devices in the video dedicated network, and accompanied by the alarm. In a word, this project can effectively prevent the illegal intrusion and avoid the video dedicated network data leakage.

Key words: video dedicated network access detection, device fingerprint, decision tree, information entropy