Attribute Encryption Based Multi-party Collaborative Key Distribution Method for Iot Devices
With the development of information technologies such as artificial intelligence, cloud computing, and the Internet of Things, Iot devices play an important role in people's lives. As a hardware carrier for carrying devices and transmitting sensitive information, Internet of Things devices may be out of control and leak sensitive information if they are attacked by networks. Therefore, they have urgent security needs in terms of confidential transmission of device data, dynamic command control, real-time picture sharing, and data collaborative analysis. In recent years, the frequent security incidents of Internet of Things devices have made people realize the importance of data security of Internet of Things devices. Aiming at the problems such as low key distribution efficiency and difficulty in distributed multi-party collaborative key distribution in cloud-edge collaborative scenario of existing key distribution methods used by Iot devices, this paper proposes a multi-party collaborative key distribution method based on attribute encryption. The method uses attribute encryption algorithm and national secret SM4 algorithm to achieve secure and efficient distribution of session keys in the environment of multi-user request data, ensure the data security of Iot devices, and achieve fine-grained control of user key distribution. Compared with the existing key distribution methods based on asymmetric cryptographic algorithms, this paper verifies that this method has certain advantages in the efficiency of key distribution, and verifies the effectiveness of this method through simulation experiments, and evaluates the performance.
Authors
- Xi Wang (ORCID: https://orcid.org/0000-0002-7568-0851)
- Peng Fei Zeng (ORCID: https://orcid.org/0000-0003-4673-3632)
- Aodi Liu (ORCID: https://orcid.org/0000-0002-9644-3812)
- Tianyou Zhang (ORCID: https://orcid.org/0009-0003-0556-0541)
- E Xingyu
Institutions
- PLA Information Engineering University (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/icct62411.2024.10946564
- Primary Topic
- Security in Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00