Achieving Efficient and Secure Data Acquisition for Cloud-supported Internet of Things in Smart Grid
Zhitao Guan, Jing Li, Longfei Wu, Yue Zhang, Jun Wu, Xiaojiang Du

TL;DR
This paper proposes a secure and efficient data acquisition scheme for cloud-supported IoT in smart grids using CP-ABE encryption, which enhances data privacy, integrity, and reduces processing time.
Contribution
It introduces a novel data encryption and transmission method based on CP-ABE with parallel processing and threshold secret sharing for smart grid IoT systems.
Findings
Reduces data acquisition and transmission time compared to existing methods.
Ensures data privacy and integrity through threshold secret sharing.
Formal security analysis confirms the scheme's effectiveness.
Abstract
Cloud-supported Internet of Things (Cloud-IoT) has been broadly deployed in smart grid systems. The IoT front-ends are responsible for data acquisition and status supervision, while the substantial amount of data is stored and managed in the cloud server. Achieving data security and system efficiency in the data acquisition and transmission process are of great significance and challenging, because the power grid-related data is sensitive and in huge amount. In this paper, we present an efficient and secure data acquisition scheme based on CP-ABE (Ciphertext Policy Attribute Based Encryption). Data acquired from the terminals will be partitioned into blocks and encrypted with its corresponding access sub-tree in sequence, thereby the data encryption and data transmission can be processed in parallel. Furthermore, we protect the information about the access tree with threshold secret…
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Taxonomy
TopicsCryptography and Data Security · Cloud Data Security Solutions · Privacy-Preserving Technologies in Data
