TY - JOUR
T1 - IEPSBP
T2 - A Cost-Efficient Image Encryption Algorithm Based on Parallel Chaotic System for Green IoT
AU - Gu, Zhaoquan
AU - Li, Hao
AU - Khan, Sajid
AU - Deng, Lianbing
AU - Du, Xiaojiang
AU - Guizani, Mohsen
AU - Tian, Zhihong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - With 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.
AB - With 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.
KW - Chaotic maps
KW - Cost-efficient
KW - Image encryption
KW - IoT device
UR - http://www.scopus.com/inward/record.url?scp=85119589633&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119589633&partnerID=8YFLogxK
U2 - 10.1109/TGCN.2021.3095707
DO - 10.1109/TGCN.2021.3095707
M3 - Article
AN - SCOPUS:85119589633
VL - 6
SP - 89
EP - 106
JO - IEEE Transactions on Green Communications and Networking
JF - IEEE Transactions on Green Communications and Networking
IS - 1
ER -