摘要
为加强物联网隐私数据保护,提高用户信任度与满意度,提出属性Logistic混沌映射下的物联网隐私数据安全共享。构建基于主从式结构的三层物联网隐私数据安全共享模型并设计数据访问机制,在此基础上,基于量子细胞神经网络和Logistic映射得到矩阵A,对其分解后,得到矩阵B和序列C,由B矩阵构造混沌序列池,对C序列元素作映射处理,生成索引序列,并确定Logistic映射初始值,再对索引作Logistic映射后,从混沌序列池检索出CP-ABE加密算法的公钥、主密钥后,利用其与用户属性集合生成用户私钥,基于数据访问结构实现物联网隐私数据的加密。实验结果表明,该方法生成的密钥能够通过随机性验证,实现物联网隐私数据加密,且操作数量少,加密强度高。
In order to strengthen the protection of Internet of Things(IoT)privacy data and improve users′trust and satisfaction,an IoT privacy data secure sharing based on attribute Logistic chaotic mapping is proposed.A three-layer IoT privacy data security sharing model based on master-slave structure is constructed,and a data access mechanism is designed.On this basis,matrix A is obtained based on quantum cellular neural network(QCNN)and Logistic mapping,and matrix B and sequence C are obtained after decomposition of the matrix A.The chaotic sequence pool is constructed based on matrix B,the elements of sequence C are mapped to generate an index sequence,and the initial value of Logistic mapping is determined.After the index is subjected to Logistic mapping,the public key and master key of CP-ABE(ciphertext-policy attribute-based encryption)encryption algorithm are retrieved from the chaotic sequence pool,the user private key is generated by the public key and master key and the user attribute set,and the privacy data of the IoT is encrypted based on the data access structure.The experimental results show that the key generated by the proposed method can be verified randomly,and the privacy data of the IoT can be encrypted with less operations and high encryption strength.
作者
黄杨杨
HUANG Yangyang(Southwest Jiaotong University,Chengdu 611756,China)
出处
《现代电子技术》
北大核心
2024年第13期97-101,共5页
Modern Electronics Technique
