Internet of vehicles security situation awareness based on intrusion detection protection systems

Abstract

With the rise of technologies such as mobile Internet, 5G networks and artificial intelligence, the development of Internet of Vehicle Information Security (ICVS) has become the mainstream and direction for the future development of the automotive industry. ICVS, people, roads, clouds, and APP constitute a complex network of vehicles. As part of the Internet, vehicle networking will inevitably face various complex information security threats and risks. This paper aims to design a kind of security situation awareness of Internet of vehicles based on intrusion detection protection systems (IDPS). By collecting the security data of car, app and private cloud for big data analysis, the whole smart car security situation awareness system is constructed. The system can be used to analyze potential threats, send out warnings, and carry out emergency responses.

Security Situation Awareness Analysis of Mobile Power Business Based on Artificial Intelligence

“…In addition to the above analysis, it is also necessary to consider the node protection degree en and the alarm return sn. The security index of the independent node can be obtained by (1).…”

“…For example, "Stuxnet virus" attacking Bushehr nuclear power plant in Iran, "Aurora attack" against Google mail server, "BlackEnergy" attack against Ukrainian power grid, etc. Although the information security personnel of the enterprise have deployed a large number of security devices in the network, some attacks will still bypass all protective measures and go straight to the enterprise, resulting in the leakage, damage or tampering of important data assets [1]. Therefore, it is necessary to find the threats hidden in the network in time through technical means, quickly find the malicious behaviors in the threats as soon as possible, accurately locate the target and the source of the attack, and judge and trace the intrusion path and attacker background, so as to solve the security threats in the enterprise network from the source and reduce the losses caused by the security threats to the enterprise as much as possible [2].…”