Internet of Vehicles vulnerability crowd-testing system

Abstract

The invention relates to an Internet of Vehicles vulnerability public test system, comprising: an interaction module configured to enable a white hat user to interact with the Internet of Vehicles vulnerability public test system; an audit module which comprises a screening unit, a basic score evaluation unit and an environment score evaluation unit, wherein the basic score evaluation unit is configured to calculate and obtain a basic evaluation score according to a basic availability index and a basic influence degree index, the environment score evaluation unit is configured to calculate andobtain an environment evaluation score according to an environment availability index and an environment influence degree index, and the total score of the vulnerability is divided into the basic evaluation score or the environment evaluation score; a grade confirmation module which is configured to confirm the grade of the submitted vulnerability according to the total score of the vulnerability; and a storage module which is configured to store and record the graded vulnerabilities. By arranging the interaction module, the auditing module and other modules, public testing of the Internet ofVehicles vulnerabilities is achieved, the vulnerabilities are screened, analyzed and evaluated, and the threat distribution situation is presented for the system so as to prevent or give an alarm inadvance.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles data security, in particular to a public testing system for Internet of Vehicles vulnerabilities. Background technique [0002] With the rapid development of the Internet of Vehicles, a number of services based on services such as navigation, entertainment, and vehicle body data transmission have injected vitality into the Internet of Vehicles and brought another type of crisis. There are more and more information tampering, information leakage, and other vulnerability attacks aimed at vehicle information security, while the technologies for discovering and repairing the vulnerability risks of the Internet of Vehicles are immature and relatively scattered, so they may have a relatively large impact on the information security of the Internet of Vehicles. Impact. [0003] At present, the vulnerability detection systems on the market all submit vulnerabilities on a single platform and ...

AI Technical Summary

Problems solved by technology

There are more and more information tampering, information leakage, and other vulnerability attacks aimed at vehicle information security, while the technologies for discovering and repairing the vulnerability risks of the Internet of Vehicles are immature and relatively scattered, so they may have a relatively large impact on the information security of the Internet of Vehicles. Impact

[0003] At present, the vulnerability detection systems on the market all submit vulnerabilities on a single platform and then process them. They only complete the three major vulnerability processing steps of early warning, detection and repair, without statistical analysis of the occurrence of vulnerabilities, so they cannot detect the threats caused by vulnerability attacks. Distribution presented in advance and early warning

Moreover, there is an urgent demand for safety crowd testing in the field of Internet of Vehicles, and there are few system platforms on the market that can support crowd testing business

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