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AuthorGu, Zhaoquan
AuthorLi, Hao
AuthorKhan, Sajid
AuthorDeng, Lianbing
AuthorDu, Xiaojiang
AuthorGuizani, Mohsen
AuthorTian, Zhihong
Available date2022-10-11T09:32:52Z
Publication Date2022-03-01
Publication NameIEEE Transactions on Green Communications and Networking
CitationGu, Z., Li, H., Khan, S., Deng, L., Du, X., Guizani, M., & Tian, Z. (2021). IEPSBP: a cost-efficient image encryption algorithm based on parallel chaotic system for green IoT. IEEE Transactions on Green Communications and Networking, 6(1), 89-106.‏
AbstractWith the fast development of the Internet of Things (IoT) technologies, more IoT devices are currently connected with the Internet, resulting in more exchange of information. However, data privacy and security threats have become emerging challenges of the IoT. In this paper, we are concerned about the security of image transmission in green IoT. Image encryption algorithms for green IoT are faced with two challenges: 1) To save the cost, devices in green Internet of Things (IoT) always have very low computing power, so they cannot support high-precision computing and 2) The algorithm deployed on the device should be efficient to guarantee the device to run for a long time. To solve the problem of precision limited, we propose a parallel chaotic system named PSBP.1 The PSBP is composed of Piecewise Linear Chaotic Map (PWLCM), Skew Tent Map (STM) and Bernoulli map in parallel model with the limited precision of 16-bit, which can generate good-performance key matrix for encryption. Then, we introduce a cost-efficient image encryption algorithm based on PSBP (named IEPSBP) which addresses the second challenge. Instead of bits or bytes, we use one row or one column as the basic unit to realize permutation and diffusion. The security analysis and performance experiments indicate that IEPSBP is secure and cost-efficient for green IoT.
SponsorThis work was supported in part by the National Key Research and Development Program of China under Grant 2019YFB1706003; in part by the China Postdoctoral Science Foundation under Grant 2019M663358; in part by the National Natural Science Foundation of China under Grant U20B2046; in part by the Guangdong Higher Education Innovation Group under Grant 2020KCXTD007; in part by the Guangzhou Higher Education Innovation Group under Grant 202032854; in part by the Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2019); in part by the Guangdong-Macau Joint Laboratory for Advanced and Intelligent Computing under Grant 2020B1212030003; and in part by the GuangdongMacau Joint STI Project Intelligent Target Detecting and Tracking on Electronic Fence under Grant 2021A0505080008.
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectChaotic maps
Image encryption
IoT device
TitleIEPSBP: A Cost-Efficient Image Encryption Algorithm Based on Parallel Chaotic System for Green IoT
Issue Number1
Volume Number6

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