TY - GEN
T1 - SyLPEnIoT
AU - Viet Xuan Phuong, Tran
AU - Susilo, Willy
AU - Yang, Guomin
AU - Kim, Jongkil
AU - Chow, Yang Wai
AU - Liu, Dongxi
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85117109073&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-88428-4_6
DO - 10.1007/978-3-030-88428-4_6
M3 - Conference contribution
AN - SCOPUS:85117109073
SN - 9783030884277
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 106
EP - 126
BT - Computer Security – ESORICS 2021 - 26th European Symposium on Research in Computer Security, Proceedings
A2 - Bertino, Elisa
A2 - Shulman, Haya
A2 - Waidner, Michael
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 4 October 2021 through 8 October 2021
ER -
