TY - GEN
T1 - Forward secure public key encryption with keyword search for cloud-assisted IoT
AU - Kim, Hyeongseob
AU - Hahn, Changhee
AU - Hur, Junbeom
N1 - Funding Information:
This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2019-0-00533, Research on CPU vulnerability detection and validation).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - 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.
AB - 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.
KW - Forward privacy
KW - Internet of things
KW - Public key encryption with keyword search
KW - Security
UR - http://www.scopus.com/inward/record.url?scp=85099354259&partnerID=8YFLogxK
U2 - 10.1109/CLOUD49709.2020.00083
DO - 10.1109/CLOUD49709.2020.00083
M3 - Conference contribution
AN - SCOPUS:85099354259
T3 - IEEE International Conference on Cloud Computing, CLOUD
SP - 549
EP - 556
BT - Proceedings - 2020 IEEE 13th International Conference on Cloud Computing, CLOUD 2020
PB - IEEE Computer Society
T2 - 13th IEEE International Conference on Cloud Computing, CLOUD 2020
Y2 - 18 October 2020 through 24 October 2020
ER -