SyLPEnIoT: Symmetric Lightweight Predicate Encryption for Data Privacy Applications in IoT Environments

Tran Viet Xuan Phuong, Willy Susilo, Guomin Yang, Jongkil Kim, Yang Wai Chow, Dongxi Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


Privacy preserving mechanisms are essential for protecting data in IoT environments. This is particularly challenging as IoT environments often contain heterogeneous resource-constrained devices. One method for protecting privacy is to encrypt data with a pattern or metadata. To prevent information leakage, an evaluation using the pattern must be performed before the data can be retrieved. However, the computational costs associated with typical privacy preserving mechanisms can be costly. This makes such methods ill-suited for resource-constrained devices, as the high energy consumption will quickly drain the battery. This work solves this challenging problem by proposing SyLPEnIoT – Symmetric Lightweight Predicate Encryption for IoT, which is lightweight and efficient compared with existing encryption schemes. Based on the bitwise-XOR operation, we use this basic gate to construct a scheme that transfers encrypted data onto more powerful machines. Furthermore, for resource-constrained IoT devices, the requester can authenticate devices at different levels based on the type of communication. SyLPEnIoT was meticulously designed to run on a gamut of IoT devices, including ultra low-power sensors that are constrained in terms of CPU processing, memory and energy consumption, which are widely deployed in real IoT ecosystems.

Original languageEnglish
Title of host publicationComputer Security – ESORICS 2021 - 26th European Symposium on Research in Computer Security, Proceedings
EditorsElisa Bertino, Haya Shulman, Michael Waidner
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages21
ISBN (Print)9783030884277
StatePublished - 2021
Event26th European Symposium on Research in Computer Security, ESORICS 2021 - Virtual, Online
Duration: 4 Oct 20218 Oct 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12973 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference26th European Symposium on Research in Computer Security, ESORICS 2021
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.


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