Abstract
The Internet of Things (IoT) features a mechanism that extends connectivity to diverse computing devices, such as smart phones, commodity sensors, and appliances. Due to the huge quantity of data generated by the IoT devices, they are likely to be stored and managed by the cloud these days. However, because of the privacy concern about the sensitive data, encryption techniques are typically adopted by the cloud. In order to enable searching over encrypted data for multiple data senders in the cloud, public key encryption with keyword search (PEKS) has been proposed as one variant of searchable encryption (SE). Unfortunately, existing PEKS schemes are vulnerable to adaptive file-injection attack due to the lack of forward privacy. In this paper, we propose a forward secure PEKS scheme based on hierarchical identity-based encryption for cloud-assisted IoT environments. While the existing schemes incur to the data receiver a storage overhead that increases linearly with the number of data senders, our scheme incurs only a constant cost. The experimental analysis with Amazon EC2 and Raspberri Pi shows that our scheme is two to five times more efficient than the previous schemes, which makes our scheme more suitable for multiple data senders in the cloud-assisted IoT environments.
Original language | English |
---|---|
Title of host publication | Proceedings - 2020 IEEE 13th International Conference on Cloud Computing, CLOUD 2020 |
Publisher | IEEE Computer Society |
Pages | 549-556 |
Number of pages | 8 |
ISBN (Electronic) | 9781728187808 |
DOIs | |
Publication status | Published - 2020 Oct |
Event | 13th IEEE International Conference on Cloud Computing, CLOUD 2020 - Virtual, Beijing, China Duration: 2020 Oct 18 → 2020 Oct 24 |
Publication series
Name | IEEE International Conference on Cloud Computing, CLOUD |
---|---|
Volume | 2020-October |
ISSN (Print) | 2159-6182 |
ISSN (Electronic) | 2159-6190 |
Conference
Conference | 13th IEEE International Conference on Cloud Computing, CLOUD 2020 |
---|---|
Country/Territory | China |
City | Virtual, Beijing |
Period | 20/10/18 → 20/10/24 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Forward privacy
- Internet of things
- Public key encryption with keyword search
- Security
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems
- Software