Internet-of-Vehicles intrusion detection system based on hidden Markov model

Abstract

The invention belongs to the field of intrusion detection algorithms in the Internet of Vehicles, and particularly relates to an Internet-of-Vehicles intrusion detection system based on a hidden Markov model. The system is used for intrusion detection of a False alert attack, a Sybil attack, a Black hole attack and a DoS attack in the Internet of Vehicles. The system mainly comprises a pre-detection module, a DNN-based detection center module, an updating module used for recording a vehicle state and generating a hidden Markov model, and a response center module used for generating a responsesignal, and under the normal operation state of the Internet of Vehicles, the modules jointly guarantee efficient operation of the Internet of Vehicles. Under the attack detection state, the components supplement each other to jointly complete an attack monitoring defense process. Compared with the DNN-based IDS, the Internet-of-Vehicles intrusion detection system has the advantages that the detection precision, overhead and detection time are improved, the detection precision is higher, the average detection time is far shorter than that of an IDS based on DNN, meanwhile, the expenditure is lower, compared with an IDS using state switching, the expenditure of a pre-detection mechanism used in the method is lower, and more computing resources are saved.

Description

technical field [0001] The invention belongs to the field of intrusion detection algorithms in the Internet of Vehicles, in particular to an intrusion detection system for the Internet of Vehicles based on a hidden Markov model. The system is used for intrusion detection of False alert attack, Sybil attack, Black hole attack and DoS attack in the Internet of Vehicles. Background technique [0002] As an important concept in the Internet of Things, the Internet of Vehicles has not only become a hot spot in academic research, but also has been widely used in the engineering field. Whether it is the Internet of Things or the Internet, the security issues behind it are the primary concerns, and these security issues are specifically manifested in severe traffic jams, increasing fuel consumption year by year, and a steady stream of traffic accidents. However, due to the rapid growth of the national economy year by year, the sales volume of automobiles has also doubled thereupon,...

AI Technical Summary

Problems solved by technology

The security problems in the computer network have long been exposed, and many problems have been effectively solved. However, due to the endless attacks in the Internet of Vehicles and the particularity of the field of the Internet of Vehicles, the same security problems not only behave differently in the Internet of Vehicles, and security solutions cannot be applied effectively

[0004] The Internet of Vehicles is a new generation of networks that are mainly data-centric, while some traditional networks are address-centric, so attacks that have little impact and damage on traditional networks will have a very large impact on the Internet of Vehicles. Hazardous

In addition, due to its dynamic topology, the Internet of Vehicles makes the security issues in the Internet of Vehicles more complicated, and the solution is no longer easy.

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