Lightweighted Secure Searching over Public-key Ciphertexts for Edge-Cloud Assisted Industrial IoT Devices

W. Wang, P. Xu, D. Liu, L. T. Yang, Zheng Yan

Research output: Contribution to journalArticleScientificpeer-review

Abstract

For the Industrial Internet of Things (IIoT), Public-key Encryption with Keyword Search (PEKS) is a type of applicable and promising encryption techniques to maintain data stored in clouds secure and searchable. To further improve the efficiency of searching, it is popular to introduce edge computing near the IIoT as a substitutes of a cloud. However, the straightforward collaboration of the two techniques performs negatively in latency-sensitive applications since the sluggish encryption of PEKS by IIoT devices negates the instant reaction of edges. To meet this challenge, we exploit the capability of the edge-cloud architecture and propose a lightweight-designed scheme called Edge-aided Searchable Public-key Encryption (ESPE). It allows IIoT devices to delegate their costly cryptographic operations to the nearby edge for fast computing and guarantees that all outsourced ciphertexts are semantically secure. Consequently, ESPE accelerates the ciphertext corresponding procedures on edges and saves over 70% encryption cost of an IIoT device.
Original languageEnglish
Pages (from-to)4221-4230
JournalIEEE Transactions on Industrial Informatics
Volume16
Issue number6
Early online date2019
DOIs
Publication statusPublished - Jun 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • Encryption
  • Cloud computing
  • Public key
  • Informatics
  • Performance evaluation
  • PEKS
  • Industrial Devices
  • Edge Computing
  • Edge-Cloud
  • Lightweight Cryptography

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