scholarly journals A dynamic data encryption method based on addressing the data importance on the internet of things

Author(s):  
Dana Khwailleh ◽  
Firas Al-balas

The rapid growth of internet of things (IoT) in multiple areas brings research challenges closely linked to the nature of IoT technology. Therefore, there has been a need to secure the collected data from IoT sensors in an efficient and dynamic way taking into consideration the nature of collected data due to its importance. So, in this paper, a dynamic algorithm has been developed to distinguish the importance of data collected and apply the suitable security approach for each type of data collected. This was done by using hybrid system that combines block cipher and stream cipher systems. After data classification using machine learning classifiers the less important data are encrypted using stream cipher (SC) that use rivest cipher 4 algorithm, and more important data encrypted using block cipher (BC) that use advanced encryption standard algorithm. By applying a performance evaluation using simulation, the proposed method guarantees that it encrypts the data with less central processing unit (CPU) time with improvement in the security over the data by using the proposed hybrid system.

2021 ◽  
Vol 4 (2) ◽  
pp. 55-68
Author(s):  
Seyed Ghorashi

The Internet of Things (IoT) and Wireless Sensor Network (WSN) devices are prone to security vulnerabilities, especially when they are resource-constrained. Lightweight cryptography is a promising encryption concept for IoT and WSN devices, that can mitigate these vulnerabilities. For example, Klein encryption is a lightweight block cipher, which has achieved popularity for the trade-off between performance and security. In this paper, we propose one novel method to enhance the efficiency of the Klein block cipher and the effects on the Central Processing Unit (CPU), memory usage, and processing time. Furthermore, we evaluate another approach on the performance of the Klein encryption iterations. These approaches were implemented in the Python language and ran on the Raspberry PI 3. We evaluated and analyzed the results of two modified encryption algorithms and confirmed that two enhancing techniques lead to significantly improved performance compared to the original algorithm


2013 ◽  
Vol 469 ◽  
pp. 322-325 ◽  
Author(s):  
Zhi Qiang Gao ◽  
Xiu Ping Zhao

The Internet of Things technology used in agricultural products, such as food safety traceability management is taking the technological advantages of the Internet of Things RFID (Radio Frequency IDentification) is non-contact automatic fast read and write data encryption, in order to achieve a unified management and efficient flow of work in coordination.This thesis reports a production method of conductive nanosilver jet ink. The ink can be used to directly print RFID antenna coil. In the method using silver nitrate as silver source, hydrazine hydrate as a reducing agent, polyvinyl pyrrolidone as a protective agent. Obtain the dispersion of silver nanoparticles through chemical reduction reaction. The dispersion was purified and used inkjet printer into a graphic on glossy photo paper, after 180 °C sintered for 15 minutes with good conductivity, RFID antennas to meet requirements.


2014 ◽  
Vol 543-547 ◽  
pp. 1579-1582 ◽  
Author(s):  
Guo Fang Liu ◽  
Wang Lin Yu

Given the issue that most of the parking lot intellectualized degree and management level is relatively low, this paper focuses on the function design based on Zigbee wireless sensor network, puts forward an intelligent parking lot management system based on Internet of things. This system mainly adopted CC2530 chip as the core of the Zigbee information processing unit to realize the short distance, low power wireless transmission. The intelligent parking lot management system this paper introduced can detect in individual's use of the parking space in the parking lot, and the number of vehicles in the parking lot.


2021 ◽  
Author(s):  
Sheraz Raza Siddique

This project presents complexity analysis and hardware implementation of extensible modulo addition [15] encryption algorithm on a 32-bit lightweight FPGA based block cipher called INFLEX, which is designed for the internet of things (IoT) environment, supporting 64-bits key. It is designed for constrained hardware resources yet providing a highly secure scalable configuration for the variety of applications. This characteristic is obtained by the use of generalized Feistel structure combined with an improved block inflation feature. INFLEX follows a typical ARX (Add, Rotate, XOR) round function with a distinguished feature of block expansion and collapse as per user selected control string, which makes INFLEX act as a tweakable Cipher. We have shown comparison of INFLEX algorithm robustness and immunity against linear and differential attacks and demonstrated that it outperforms one of the benchmark block Ciphers Speck32/64 proposed by national security agency (NSA).


In the present age, the Internet of Things (IoT) is turning into an essential part of our day by day existence with the new innovative improvements. The objective of this project is to utilize the IoT with a smart system of wireless sensors to observe plant healthiness and watch larvae populace in a remote yield field. A wireless sensor network is proposed in this setting to recognize larvae and calculate certain gadget parameters, namely, the Acoustic Complexity Index (ACI), temperature, humidity and soil moisture. The information of the sensors is gathered through a serial port through the front end sensing node built with a STM32F407VG board. The leading group of STM32F407VG depends on the processor of Advanced RISC Machine (ARM). Utilizing a remote ZigBee protocol, the node information is transmitted to a base station. Information from a gathering of sensor nodes is obtained by the base station. This information is transmitted by means of the Universal Serial Bus (USB) association between the base station and the Central Processing Unit (CPU). On the CPU, this information is examined utilizing the clearly planned application dependent on MATLAB. The discoveries will be shown and put away on the CPU and logged by means of Thingspeak liaison on the cloud too. At any moment, it requires access to this data globally. An auspicious contact and healing of the arranged yield field is accomplished. To accomplish the effective combination and execution of the modules, the unit parameters are changed. An experimental setup is used to test the proposed system operation. The results confirmed the proper functionality of the system.


Author(s):  
Keith M. Martin

In this chapter, we focus on symmetric encryption. We begin by identifying two different types of symmetric encryption algorithm, namely, stream and block ciphers. We discuss the basic idea behind a stream cipher and consider their properties and applications. We then introduce block ciphers. We focus on two extremely important and influential block cipher algorithms, the Data Encryption Standard and the Advanced Encryption Standard, discussing the history of their development as well as their basic design. We then introduce the modes of operation of a block cipher, explaining why different modes have been proposed. We examine in detail four of the most well-established modes of operation and their core properties, as well as classifying other modes of operation.


SIMULATION ◽  
2019 ◽  
Vol 96 (3) ◽  
pp. 347-361
Author(s):  
Wenjie Tang ◽  
Wentong Cai ◽  
Yiping Yao ◽  
Xiao Song ◽  
Feng Zhu

In the past few years, the graphics processing unit (GPU) has been widely used to accelerate time-consuming models in simulations. Since both model computation and simulation management are main factors that affect the performance of large-scale simulations, only accelerating model computation will limit the potential speedup. Moreover, models that can be well accelerated by a GPU could be insufficient, especially for simulations with many lightweight models. Traditionally, the parallel discrete event simulation (PDES) method is used to solve this class of simulation, but most PDES simulators only utilize the central processing unit (CPU) even though the GPU is commonly available now. Hence, we propose an alternative approach for collaborative simulation execution on a CPU+GPU hybrid system. The GPU supports both simulation management and model computation as CPUs. A concurrency-oriented scheduling algorithm was proposed to enable cooperation between the CPU and the GPU, so that multiple computation and communication resources can be efficiently utilized. In addition, GPU functions have also been carefully designed to adapt the algorithm. The combination of those efforts allows the proposed approach to achieve significant speedup compared to the traditional PDES on a CPU.


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