Research of Lightweight Encryption Algorithm Based on AES and Chaotic Sequences for Narrow-Band Internet of Things

2019 ◽  
pp. 267-280
Author(s):  
Lianmin Shi ◽  
Yihuai Wang ◽  
Rongyuan Jia ◽  
Tao Peng ◽  
Jianwu Jiang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Narrow Band ◽  
Encryption Algorithm ◽  
Chaotic Sequences ◽  
Lightweight Encryption

Speeding Up the Internet of Things: LEAIoT: A Lightweight Encryption Algorithm Toward Low-Latency Communication for the Internet of Things

2018 ◽  
Vol 7 (6) ◽  
pp. 31-37 ◽  
Author(s):  
Muhammad Asif Habib ◽  
Mudassar Ahmad ◽  
Sohail Jabbar ◽  
Syed Hassan Ahmed ◽  
Joel J.P.C. Rodrigues
Keyword(s):  
Internet Of Things ◽  
Encryption Algorithm ◽  
The Internet ◽  
Low Latency ◽  
The Internet Of Things ◽  
Lightweight Encryption

scholarly journals Application of a Lightweight Encryption Algorithm to a Quantized Speech Image for Secure IoT

2018 ◽  
Author(s):  
Mourad Talbi ◽  
Med Salim Bouhalel
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Speech Signal ◽  
Block Cipher ◽  
Encryption Algorithm ◽  
Encryption Algorithms ◽  
Computationally Expensive ◽  
Complex Algorithm ◽  
Lightweight Encryption ◽  
Image Simulations

The IoT Internet of Things being a promising technology of the future. It is expected to connect billions of devices. The increased communication number is expected to generate data mountain and the data security can be a threat. The devices in the architecture are fundamentally smaller in size and low powered. In general, classical encryption algorithms are computationally expensive and this due to their complexity and needs numerous rounds for encrypting, basically wasting the constrained energy of the gadgets. Less complex algorithm, though, may compromise the desired integrity. In this paper we apply a lightweight encryption algorithm named as Secure IoT (SIT) to a quantized speech image for Secure IoT. It is a 64-bit block cipher and requires 64-bit key to encrypt the data. This quantized speech image is constructed by first quantizing a speech signal and then splitting the quantized signal into frames. Then each of these frames is transposed for obtaining the different columns of this quantized speech image. Simulations result shows the algorithm provides substantial security in just five encryption rounds.

scholarly journals Application of a Lightweight Encryption Algorithm to a Quantized Speech Image for Secure IoT

2018 ◽  
Author(s):  
Mourad Talbi ◽  
Med Salim Bouhalel
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Speech Signal ◽  
Block Cipher ◽  
Encryption Algorithm ◽  
Encryption Algorithms ◽  
Computationally Expensive ◽  
Complex Algorithm ◽  
Lightweight Encryption ◽  
Image Simulations

The IoT Internet of Things being a promising technology of the future. It is expected to connect billions of devices. The increased communication number is expected to generate data mountain and the data security can be a threat. The devices in the architecture are fundamentally smaller in size and low powered. In general, classical encryption algorithms are computationally expensive and this due to their complexity and needs numerous rounds for encrypting, basically wasting the constrained energy of the gadgets. Less complex algorithm, though, may compromise the desired integrity. In this paper we apply a lightweight encryption algorithm named as Secure IoT (SIT) to a quantized speech image for Secure IoT. It is a 64-bit block cipher and requires 64-bit key to encrypt the data. This quantized speech image is constructed by first quantizing a speech signal and then splitting the quantized signal into frames. Then each of these frames is transposed for obtaining the different columns of this quantized speech image. Simulations result shows the algorithm provides substantial security in just five encryption rounds.

Reduction of Cyclic Prefix Overhead in Narrow-Band Internet of Things (NB-IoT) Systems

2020 ◽  
pp. 1-1
Author(s):  
Dejin Kong ◽  
Pei Liu ◽  
Yaru Fu ◽  
Jie Ding ◽  
Tony Q. S. Quek
Keyword(s):  
Internet Of Things ◽  
Narrow Band ◽  
Cyclic Prefix

scholarly journals A new image encryption algorithm based on the OF-LSTMS and chaotic sequences

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yi He ◽  
Ying-Qian Zhang ◽  
Xin He ◽  
Xing-Yuan Wang
Keyword(s):  
Image Encryption ◽  
Fractional Order ◽  
Chaotic System ◽  
Short Term Memory ◽  
Encryption Algorithm ◽  
Chaotic Sequences ◽  
Long Short Term Memory ◽  
Input Gate ◽  
And Diffusion ◽  
Image Encryption Algorithm

AbstractIn this paper, a novel image encryption algorithm based on the Once Forward Long Short Term Memory Structure (OF-LSTMS) and the Two-Dimensional Coupled Map Lattice (2DCML) fractional-order chaotic system is proposed. The original image is divided into several image blocks, each of which is input into the OF-LSTMS as a pixel sub-sequence. According to the chaotic sequences generated by the 2DCML fractional-order chaotic system, the parameters of the input gate, output gate and memory unit of the OF-LSTMS are initialized, and the pixel positions are changed at the same time of changing the pixel values, achieving the synchronization of permutation and diffusion operations, which greatly improves the efficiency of image encryption and reduces the time consumption. In addition the 2DCML fractional-order chaotic system has better chaotic ergodicity and the values of chaotic sequences are larger than the traditional chaotic system. Therefore, it is very suitable to image encryption. Many simulation results show that the proposed scheme has higher security and efficiency comparing with previous schemes.

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