Intelligent home intrusion detection method based on deep learning

Abstract

The invention discloses an intelligent home intrusion detection method based on deep learning, and relates to an online system, in particular to a method combining a fuzzy neural network and deep learning and used for judging whether intrusion behaviors exist in the network or not. According to the method, deep learning and the fuzzy neural network are organically combined, and the problems that an existing intelligent home intrusion detection technology is difficult to process a large amount of high-dimensional data, the false positive rate is high, the false negative rate is high, and the detection rate is low are solved. By means of an offline system, running parameters of the online system are determined, and the online system conducts real-time intrusion detection. Compared with the prior art, the method is an active monitoring model aiming at intelligent home network attack behaviors, and has the advantages of being high in detection rate, low in false negative rate and the false positive rate, high in real-time performance and the like.

Description

Technical field [0001] The invention relates to the field of smart home security, in particular to a multi-layer neural network intrusion behavior detection method based on deep learning. Background technique [0002] With the rapid development of the Internet of Things technology, Internet of Things products such as smart homes have gradually become popular. However, the current security protection capabilities of smart devices are generally weak. The upgrade and maintenance mechanism is not perfect, and the security configuration of smart devices is unreasonable. Many security risks. In recent years, as the country has proposed and implemented the "Internet +" action plan, the "Made in China 2025" plan, and the construction of smart cities, a large number of smart devices have continued to emerge, but the corresponding security measures are not sound enough. Smart home is a new emerging The Internet of Things applications are moving towards more and more homes. Smart home syst...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of the Internet of Things technology, IoT products such as smart homes are gradually popularized. However, the security protection capabilities of smart devices are generally weak, the upgrade and maintenance mechanism is not perfect, and the security configuration of smart devices is unreasonable. many security risks

As the country proposes and implements the "Internet +" action plan in recent years, the "Made in China 2025" plan, the construction of smart cities, etc., a large number of smart devices continue to emerge, but the corresponding security measures are not perfect enough, smart home as an emerging Internet of Things applications are moving towards more and more families. Smart home systems include cameras, routers, gateways and other smart devices. These devices have information security vulnerabilities such as rights bypassing, denial of service, and information leakage. Attackers can It is relatively easy to use these vulnerabilities to launch attacks on the smart home network, resulting in the leakage of user privacy, the failure of the smart home network to work normally, and other problems such as property or personal safety.

[0003] The existing smart home systems are not perfect in terms of security. Most smart home systems use firewalls, authentication or encryption technologies to improve their security. These technologies are all passive defenses and are effective against certain specific attacks. Failure to proactively detect attacks and take timely disposal or preventive measures

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