Abstract
The openness of network data makes it vulnerable to hackers, viruses and other attacks. These attacks not only become more and more complex, but also seriously threaten users’ privacy and property security. In order to improve the accuracy of testing, intrusion detection is a detection method of network security communication based on traditional intrusion detection. It is usually used in various networks to help detect intrusion in time. This research creates an intrusion detection model based on deep learning. Inspired by the application ability of blockchain, the model has the characteristics of combining blockchain technology with intrusion detection. Therefore, the model is superior to the traditional system in the accuracy of detecting security attacks.
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