Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Secure Edge-Aided Computations for Social Internet-of-Things Systems

Bibliographic Data

ID22107967
AuthorsHanlin Zhang (0000-0001-5065-4086, Qingdao University), Jia Yu (0000-0002-7194-7635), Mohammad S Obaidat (0000-0002-1569-9657, University of Jordan), Pandi Vijayakumar (0000-0001-5451-8946), Linqiang Ge (0000-0003-0817-8850, Columbus State University), Jie Lin (0000-0002-7059-0400, Xi'an Jiaotong University), Jianxi Fan (0000-0002-7055-5891, Soochow University), Rong Hao (0000-0002-2878-6661)
Year2022
Volume9
Issue1
Pages76-87
Publication date2022-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Computational Social Systems (JOURNAL)
Journal identifiersISSN: 2329-924X • E-ISSN: 2373-7476
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/tcss.2020.3030904
OpenAlexW3095109628
LanguageEN
Citations received2
References cited47

Devices in the Internet-of-Things (IoT) are networked and perform massive computations to support various social IoT systems. Applications in social IoT systems often involve complicated computations that are out of the computation capacity of some resource-constrained IoT devices. Thus, how to enable resource-constrained IoT devices to accomplish complex computations efficiently and securely is of significant importance. To address this problem, we develop a secure edge-aided computation scheme for the social IoT systems. We scope the framework of edge-aided computations and identify the security threats in such a system. We define the security requirements that the outsourcing algorithms should meet. Then, we provide two examples of secure outsourcing algorithms (matrix multiplication and modular exponentiation) that meet the given security requirements. The efficiency and security of the proposed algorithms are supported through the theoretical analysis and experimental results

Algorithm · Cloud computing · Computation · Computer security · Distributed computing · Edge computing · Encryption · Enhanced Data Rates for GSM Evolution · Internet of Things · Modular design · Modular exponentiation · Public-key cryptography · Chaos-based Image/Signal Encryption · Computer Science · Cryptography and Data Security · Stochastic Gradient Optimization Techniques · Artificial Intelligence

  • A Web Knowledge-Driven Multimodal Retrieval Method in Computational Social Systems

    Open Access•Youxiang Duan, Ning Chen et al.•IEEE Transactions on Computational…•2024

  • A Random-Field-Environment-Based Multidimensional Time-Dependent Resilience Modeling of Complex Systems

    Open Access•Mengmeng Zhu, Xueqing Huang et al.•IEEE Transactions on Computational…•2021

Unique citing works2
Citations per year0,4
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae