Trust access control method of power metering automation system based on K nearest neighbor algorithm

In the process of trust access control of electric energy metering automation system, malicious attacks will lead to data leakage, tampering and loss. K-nearest neighbor algorithm can predict or classify the data samples according to the similarity of electric energy measurement, and restrict only a...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	2023 11th International Conference on Information Technology: IoT and Smart City (ITIoTSC) s. 160 - 163
Hlavní autoři:	Liang, Yanhe, Cao, Hongyu, Gong, You, Wang, Xiaoyu, Li, Xinggang
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 11.08.2023
Témata:	Access control Automated system Automation Degree of trust Electric power measurement Heuristic algorithms Information security K-nearest neighbor algorithm Nearest neighbor methods Network security Permission
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	In the process of trust access control of electric energy metering automation system, malicious attacks will lead to data leakage, tampering and loss. K-nearest neighbor algorithm can predict or classify the data samples according to the similarity of electric energy measurement, and restrict only authorized users to access and modify the data through access control means, thus effectively avoiding data leakage, tampering and loss. Therefore, a trust access control method for electric energy metering automation system based on K nearest neighbor algorithm is proposed. The trust degree is calculated according to the access request and attribute value of the subject, the reasonable degree of network security and information security is evaluated, and the access permission is granted according to the evaluation result of the trust degree. The implicit information is used to calculate the user's trust degree and dynamically adjust the user's authority; The information tobe collected at a fixed point is matched with the information in the power metering automation system by similarity, the nearest neighbor points are obtained, and the fuzzy entropy of each sample point is calculated according to the distance size. The weighted average method is used to predict the trust degree of the test samples. Based on K-nearest neighbor algorithm, accurate control of trust access to power metering automation system is realized. The simulation results show that this method has higher security and better dynamic planning ability of access path, and can complete the trust access control of power metering automation system in the shortest 2ms. It is proved that k-nearest neighbor algorithm can effectively complete the trust access control of electric power metering automation system.
DOI:	10.1109/ITIoTSC60379.2023.00035