Abstract
Cloud computing has emerged as a promising paradigm for the Internet of Things (IoT) and Cyber-Physical-Social Systems (CPSS). However, the problem of how to ensure the security of data transmission and data storage in CPSS is a key issue to address. We need to protect the confidentiality and privacy of users’ data and users’ identity during the transmission and storage process in CPSS. In order to avoid users’ personal information leakage from IoT devices during the process of data processing and transmitting, we propose a certificateless encryption scheme, and conduct a security analysis under the assumption of Computational Diffie-Hellman(CDH) Problem. Furthermore, based on the proposed cryptography mechanism, we achieve a novel anonymous communication protocol to protect the identity privacy of communicating units in CPSS. In the new protocol, an anonymous communication link establishment method and an anonymous communication packet encapsulation format are proposed. The Diffie-Hellman key exchange algorithm is used to construct the anonymous keys distribution method in the new link establishment method. And in the new onion routing packet encapsulation format, the session data are firstly separated from the authentication data to decrease the number of cryptography operations. That is, by using the new onion routing packet we greatly reduces the encryption operations and promotes the forwarding efficiency of anonymous messages, implementing the privacy, security and efficiency in anonymous communication in cyber-physical-social systems.
Highlights
Cloud computing has emerged as a promising paradigm for the Internet of Things (IoT) and Cyber-Physical-Social Systems (CPSS) [1]
To ensure the end-to-end user data confidentiality, integrity and identity privacy in CPSS [34], we respectively propose a certificateless encryption scheme, an anonymous communication packet encapsulation format, and an anonymous communication link establishment method
At last we complete an anonymous protocol in CPSS
Summary
Cloud computing has emerged as a promising paradigm for the Internet of Things (IoT) and Cyber-Physical-Social Systems (CPSS) [1]. In most cases, user data collected by IoT devices are transmitted and presented in the form of plaintext in the network and the cloud servers, especially those sensitive data in enterprise information system [4]. In the generation network architecture, anonymous communication privacy protection is implemented by encrypting the address data which representing the user’s identity [9]. In the next-generation network architecture, the user’s identity privacy and data security and the communication efficiency of the system should be assured. This is a key issue in the anonymous communication network. (4) We complete an anonymous protocol, implementing the privacy, security and efficiency in anonymous communication in cyber-physical-social systems
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