Application Of Aggregation Signcryption Based On Bilinear Mapping In Internet Of Things

Internet of Things is extensively used in scenarios such as smart traffic,smart homes and smart security by connecting terminals distributed in various places together through established protocols to realize information transmission between things.Currently,information interaction in the Internet of Things is achieved through public channels,which is open,low in security,easy to disclose information,privacy information theft,identity impersonation and other security risks.In response to the issue,this paper proposes a certificateless aggregate signcryption algorithm based on bilinear mapping operation(CLASC-BO)and applies it to the secure communication of Internet of Things.CLASC-BO uses bilinear mapping to encrypt plaintext messages,adds the identity information of the sender and the receiver to the ciphertext to hide the user identity and effectively protect the user privacy.The security of the algorithm is proved under the random oracle model based on the CBDH and CDH difficult problems,then the verification equation can be calculated by any third party with open verification.In the aggregation verification stage,only two fixed bilinear mapping operations are used,which is independent of the number of senders with high operation efficiency.An Internet of Things aggregated signcryption(CLASCWFS-Io T)scheme is constructed based on CLASC-BO algorithm.The scheme uses random numbers to generate temporary session keys,regularly updates related parameters,and introduces timestamps to improve the timeliness of ciphertext,which can resist replay attacks with good security.In addition,it can provide batch verification and solve the communication congestion problem caused by data aggregation.Compared with some existing schemes,the results show that CLASCWFS-Io T scheme not only ensures the security characteristics of information transmission,such as confidentiality,unforgeability,forward security and data integrity,but also improves the efficiency.The thesis has 25 figures,3 tables and 57 references.