Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
3-2011
Abstract
In an end-to-end encryption model for a wireless sensor network (WSN), the network control center preloads encryption and decryption keys to the sensor nodes and the subscribers respectively, such that a subscriber can use a mobile device in the deployment field to decrypt the sensed data encrypted by the more resource-constrained sensor nodes. This paper proposes SMS-SED, a provably secure yet practically efficient key assignment system featuring a discrete time-based access control, to better support a business model where the sensors deployer rents the WSN to customers who desires a higher flexibility beyond subscribing to strictly consecutive periods. In SMS-SED, a node or a mobile device stores a secret key of size independent of the total number of sensor nodes and time periods. We evaluated the feasibility of deploying 2000 nodes for 4096 time periods at 1024-bit of security as a case study, studied the trade off of increasing the storage requirement of a node to significantly reduce its computation time, and provided formal security argument in the random oracle model.
Keywords
compact key size, data confidentiality, sensor network security, subscription-based key management, access control, weak computational device
Discipline
Information Security
Research Areas
Cybersecurity
Publication
ASIACCS '11: Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security: Hong Kong, March 22-24
First Page
228
Last Page
237
ISBN
9781450305648
Identifier
10.1145/1966913.1966943
Publisher
ACM
City or Country
New York
Citation
CHU, Cheng-Kang; ZHU, Wen-Tao; CHOW, Sherman S. M.; ZHOU, Jianying; and DENG, Robert H..
Secure Mobile Subscription of Sensor-encrypted Data. (2011). ASIACCS '11: Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security: Hong Kong, March 22-24. 228-237.
Available at: https://ink.library.smu.edu.sg/sis_research/1423
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/1966913.1966943