| Title | A Cross-Domain Data Security Sharing Approach for Edge Computing based on CP-ABE |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Li, Jiacong, Lv, Hang, Lei, Bo |
| Conference Name | 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS) |
| Keywords | Access Control, Ciphertext policy attribute-based encryption, Collaboration, Computational modeling, CP-ABE, cross-domain, Data models, Data security, data security sharing, edge computing, Peer-to-peer computing, policy-based governance, Processor scheduling, pubcrawl, Scalability, Time-frequency Analysis |
| Abstract | Cloud computing is a unified management and scheduling model of computing resources. To satisfy multiple resource requirements for various application, edge computing has been proposed. One challenge of edge computing is cross-domain data security sharing problem. Ciphertext policy attribute-based encryption (CP-ABE) is an effective way to ensure data security sharing. However, many existing schemes focus on could computing, and do not consider the features of edge computing. In order to address this issue, we propose a cross-domain data security sharing approach for edge computing based on CP-ABE. Besides data user attributes, we also consider access control from edge nodes to user data. Our scheme first calculates public-secret key peer of each edge node based on its attributes, and then uses it to encrypt secret key of data ciphertext to ensure data security. In addition, our scheme can add non-user access control attributes such as time, location, frequency according to the different demands. In this paper we take time as example. Finally, the simulation experiments and analysis exhibit the feasibility and effectiveness of our approach. |
| DOI | 10.23919/APNOMS56106.2022.9919929 |
| Citation Key | li_cross-domain_2022 |
A Cross-Domain Data Security Sharing Approach for Edge Computing based on CP-ABE