Chaotic encryption control of secure access to distributed database of power monitoring under binary Trie tree
GONG Yu
HU Wenxing
YU Yaxiong
CUI Yu
LIU Xuan
Abstract：[Objective]The power monitoring system carries a large amount of sensitive information,including the operation data of power equipment,power load conditions,and user power consumption information.Since these data are crucial to ensuring the safety and stability of the power system,it is a key issue in the power monitoring system to protect the security of these data.As a core component of the power monitoring system,the distributed database has advantages such as fast processing speed and large data storage capacity,but it also faces security risks such as data leakage and illegal access.[Methods]To enhance the security of the power monitoring system,this paper proposed a chaotic encryption control method for secure access to distributed databases of power monitoring based on a binary Trie tree.The SRP-6 protocol was used for identity authentication to ensure that only authorized users could access the power monitoring system.The SRP-6 protocol effectively prevented access of malicious attackers through forging identity by encrypting identity information.In the environment of distributed databases,key management was a highly challenging task.Since a distributed system involves multiple nodes,and different users have different permissions and keys,an efficient and secure key management mechanism was required.This paper took a binary Trie tree as the key management structure.Binary Trie trees are a kind of efficient data structure that can quickly retrieve and store keys.Through the hierarchical structure of a binary Trie tree,keys can be quickly located and allocated.Each node represents a step in key management,and leaf nodes store the specific encryption keys.Based on this tree structure,the system can easily manage a large number of keys,reduce the redundancy of key storage,and improve the efficiency of key distribution.The use of the binary Trie tree can also reduce the risk of key leakage and enhance the overall security of the system.On the basis of key management,chaotic encryption technology was introduced,combining two chaotic models,Tent mapping and Logistic mapping,to generate random numbers and round keys required for encrypted data.Tent mapping mapped input values to the interval[0,1)through folding and expansion operations,while Logistic mapping generated pseudo-random sequences by iteration.The two together formed the basis of chaotic encryption.The data in the distributed database of power monitoring were encrypted into unpredictable ciphertext,which greatly increased the difficulty for attackers to deduce plaintext by analyzing ciphertext.[Results]The experimental results show that the proposed method has good performance while enhancing encryption strength and improving system security.By controlling the frequency of ciphertext distribution and ensuring the uniformity of encrypted data,the distribution frequency of ciphertext can be maintained above 2 800 times.The avalanche effect value increases to above 0.524,which proves the effectiveness of the proposed method in data encryption.[Conclusion]Compared with traditional methods,this method reduces the consumption of computing and resource storage while ensuring data security,which is applicable to large-scale distributed databases.
Keywords：binary Trie treepower monitoringdistributed databasesecure accesschaotic encryptionSRP-6 protocolTent mappingLogistic mapping
Publication Date：2025-01-24
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 83-91 )