Intelligent networking safety analysis method based on sensing and calculation linkage

Abstract

The invention discloses an Internet of Things security analysis method based on sensing and calculation linkage, which aims at the phenomenon of linkage of a sensor and an artificial intelligence algorithm widely existing in the Internet of Things, and analyzes the overall vulnerability of an Internet of Things system in a mode of constructing and injecting an adversarial sample aiming at the artificial intelligence algorithm from a physical domain. The method comprises the following steps: firstly summarizing an Internet of Things system into a plurality of information channels according to front and back links of information processing of the Internet of Things, then carrying out vulnerability analysis on each information channel, establishing an actual test platform for signal injection, judging whether actual threats exist or not, and giving the actual threats to professionals to evaluate the harm degree of the actual threats, and finally, integrating the analysis result of each vulnerability, and evaluating the overall safety degree of the intelligent networking system. According to the method, the potential vulnerability can be comprehensively analyzed, and the safety problem of the system can be more quickly mined.

Description

technical field [0001] The invention belongs to the field of intelligent system security, and relates to an intelligent networking security analysis method based on sensory calculation linkage. Background technique [0002] IoT is the combination of AI technology and IoT infrastructure to enable more efficient IoT operations, improve human-machine interaction, and enhance data management and analysis. In 2018, KPMG released a prospective study on future scenario applications of AI to 2040. The analysts detailed a scenario in which each device in the Internet of Intelligence is equipped with its own AI algorithms, and these AIs can autonomously connect to other AIs to intelligently perform tasks together, using swarm intelligence to control and execute in real time. Value Creation. The basic requirement to realize this scenario is the perception and intelligent algorithms of each intelligent connected device. [0003] The benefits brought by new technologies are accompanie...

AI Technical Summary

Problems solved by technology

[0003] The benefits brought by new technologies are accompanied by potential safety hazards. Due to the application of artificial intelligence technology, intelligent network systems will undertake more complex tasks for humans, such as autonomous driving applications, but this also means the safety of users. run by machines

Therefore, the security of intelligent network systems often leads to bigger and more serious problems

The existing work related to artificial intelligence security mainly studies the algorithm vulnerability problem caused by the uninterpretable nature of the artificial intelligence algorithm itself. It has not considered the security risk introduced by the vulnerability of the perception module to the artificial intelligence algorithm, and there are insufficient vulnerability analysis and vulnerability mining. not efficient enough

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