scholarly journals Stochastic Computing Implementation of Chaotic Systems

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 375
Author(s):  
Oscar Camps ◽  
Stavros G. Stavrinides ◽  
Rodrigo Picos
Keyword(s):  
Low Power ◽  
Data Transmission ◽  
Chaotic Systems ◽  
Edge Computing ◽  
Low Area ◽  
Stochastic Computing ◽  
Key Points ◽  
Secure Data Transmission ◽  
Chaotic Circuits ◽  
The Internet Of Things

An exploding demand for processing capabilities related to the emergence of the Internet of Things (IoT), Artificial Intelligence (AI), and big data, has led to the quest for increasingly efficient ways to expeditiously process the rapidly increasing amount of data. These ways include different approaches like improved devices capable of going further in the more Moore path but also new devices and architectures capable of going beyond Moore and getting more than Moore. Among the solutions being proposed, Stochastic Computing has positioned itself as a very reasonable alternative for low-power, low-area, low-speed, and adjustable precision calculations—four key-points beneficial to edge computing. On the other hand, chaotic circuits and systems appear to be an attractive solution for (low-power, green) secure data transmission in the frame of edge computing and IoT in general. Classical implementations of this class of circuits require intensive and precise calculations. This paper discusses the use of the Stochastic Computing (SC) framework for the implementation of nonlinear systems, showing that it can provide results comparable to those of classical integration, with much simpler hardware, paving the way for relevant applications.

scholarly journals Stochastic Computing Implementation of Chaotic Systems

2021 ◽  
Author(s):  
Oscar Camps ◽  
Stavros G. Stavrinides ◽  
Rodrigo Picos
Keyword(s):  
Low Power ◽  
Data Transmission ◽  
Chaotic Systems ◽  
Edge Computing ◽  
The Other ◽  
Low Area ◽  
Stochastic Computing ◽  
Key Points ◽  
Secure Data Transmission ◽  
Chaotic Circuits

An exploding demand for processing capabilities related to the emergence of the IoT, AI and big data, has led to the quest for increasingly efficient ways to expeditiously process the rapidly increasing amount of data. These ways include different approaches like improved devices capable of going further in the more Moore path, but also new devices and architectures capable of going beyond Moore and getting more than Moore. Among the solutions being proposed, Stochastic Computing has positioned itself as a very reasonable alternative for low-power, low-area, low-speed, and adjustable precision calculations; four key-points beneficial to edge computing. On the other hand, chaotic circuits and systems appear to be an attractive solution for (low-power, green) secure data transmission in the frame of edge computing and IoT in general. Classical implementations of this class of circuits require intensive and precise calculations. This paper discusses the use of the SC framework for the implementation of nonlinear systems, showing that it can provide results comparable to those of classical integration, with much simpler hardware, paving the way for relevant applications.

Enabling Right-Provisioned Microprocessor Architectures for the Internet of Things

2015 ◽  
Author(s):  
Tosiron Adegbija ◽  
Anita Rogacs ◽  
Chandrakant Patel ◽  
Ann Gordon-Ross
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Data Transmission ◽  
Edge Computing ◽  
The Internet ◽  
Clock Frequency ◽  
Power Devices ◽  
Wide Range ◽  
The Impact ◽  
The Internet Of Things

The Internet of Things (IoT) consists of embedded low-power devices that collect and transmit data to centralized head nodes that process and analyze the data, and drive actions. The proliferation of these connected low-power devices will result in a data explosion that will significantly increase data transmission costs with respect to energy consumed and latency. Edge computing performs computations at the edge nodes prior to data transmission to interpret and/or utilize the data, thus reducing transmission costs. In this work, we seek to understand the interactions between IoT applications’ execution characteristics (e.g., compute/memory intensity, cache miss rates, etc.) and the edge nodes’ microarchitectural characteristics (e.g., clock frequency, memory capacity, etc.) for efficient and effective edge computing. Thus, we present a broad and tractable IoT application classification methodology and using this classification, we analyze the microarchitectural characteristics of a wide range of state-of-the-art embedded system microprocessors and evaluate the microprocessors’ applicability to IoT computation using various evaluation metrics. We also investigate and quantify the impact of leakage power reduction on the overall energy consumption across different architectures. Our work provides insights into the microarchitectural characteristics’ impact on system performance and efficiency for various IoT application requirements. Our work also provides a foundation for the analysis and design of a diverse set of microprocessor architectures for IoT edge computing.

A Secure Data Transmission Method for Power 5G Edge Computing Scenarios

2021 ◽  
Author(s):  
Jiming Yao ◽  
Wei Wang ◽  
Peng Wu ◽  
Ningzhe Xing ◽  
Chun Yang
Keyword(s):  
Data Transmission ◽  
Edge Computing ◽  
Transmission Method ◽  
Secure Data ◽  
Secure Data Transmission

scholarly journals Efficient and Secure Data Transmission Approach in Cloud-MANET-IoT Integrated Framework

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Data Transmission ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
The Internet ◽  
Security Issue ◽  
Integrated Framework ◽  
Secure Data Transmission ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) devices have the capabilities to interact and communicate in 5G heterogeneous networks. They also have the capabilities to form a network with neighborhood devices without a centralized approach. This network is called the mobile ad hoc network (MANET). Through an infrastructure-less system of the Internet of Things environment, the MANET enables IoT nodes to interact with one another. Those IoT nodes could interactively connect, communicate as well as share knowledge between several nodes. The role of cloud throughout this structure is to store as well as interpret information through IoT nodes. The communication security has been introduced as one of the techniques to solve the data transmission security issue that could result in increased performance in cloud consumption and ubiquity. The purpose of this research is to establish a communication system among IoT nodes in an embedded Cloud and MANET structure. Aiming to create an efficient and secure approach for communication in Cloud-MANET-IoT integrated framework, this approach has been implemented and tested.

scholarly journals Secure Data Transmission Based on Adaptive Chattering-Free Sliding Mode Synchronization of Unified Chaotic Systems

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2658
Author(s):  
Chih-Hsueh Lin ◽  
Chia-Wei Ho ◽  
Guo-Hsin Hu ◽  
Baswanth Sreeramaneni ◽  
Jun-Juh Yan
Keyword(s):  
Data Transmission ◽  
Chaotic Systems ◽  
Sliding Mode ◽  
Adaptive Synchronization ◽  
Secret Message ◽  
Unified Chaotic Systems ◽  
Mode Synchronization ◽  
Secure Data ◽  
Secure Data Transmission ◽  
Chattering Free

This paper is concerned with a novel secure data transmission design based on adaptive synchronization of master and slave unified chaotic systems. First, by introducing an augmented error state, an adaptive continuous sliding mode control (SMC) is derived to guarantee the synchronization of unified chaotic systems. Then, the secret message embedded in the master chaotic system can be transmitted from transmitter to receiver. Different from previous works using discontinuous SMC, the undesired chattering phenomenon can be fully eliminated, and it becomes possible to precisely recover the embedded secret message at the receiver. Last, an example is given to illustrate the success of secure data transmission with the continuous SMC developed in this paper.

Programmable Implementation and Blockchain Security Scheme Based on Edge Computing Firework Model

2021 ◽  
Vol 16 (1) ◽  
pp. 1-22
Author(s):  
Bao Yi Qin ◽  
Zheng Hao ◽  
Zhao Qiang
Keyword(s):  
Data Transmission ◽  
Edge Computing ◽  
Security Requirements ◽  
Maintenance Cost ◽  
Security Scheme ◽  
Transmission Cost ◽  
Heterogeneous Nature ◽  
Security And Reliability ◽  
And Storage ◽  
The Internet Of Things

In cloud computing, since the program runs in cloud, it can be written in programming language and maintained only in the cloud after compilation. Due to the heterogeneous nature of the edge node platform, many tasks are migrated from the cloud to the edge terminal. It is not easy to realize the programming under the edge computing, and the maintenance cost is also high. At the same time, because the programmable is a high-risk activity, it has high security requirements. In order to solve this problem, this paper designs a programmable and blockchain security scheme based on the edge computing firework model, realizes the programming of the internet of things (IoT) gateway firework node under the edge computing, and appreciates the safe transmission and storage of programmable data through the blockchain system. The experimental results show that this scheme not only facilitates the user's programming, enhances the real-time performance, and saves the data transmission cost, but also ensures the security and reliability of the system.

scholarly journals Physical Layer Secure Data Transmission for Mobile Edge Computing: Beamforming and Artificial Noise

2020 ◽  
Vol 1659 ◽  
pp. 012016
Author(s):  
Aidong Xu ◽  
Jie Tang ◽  
Yonggang Zeng ◽  
Li Cheng Li ◽  
Yixin Jiang ◽  
...  
Keyword(s):  
Data Transmission ◽  
Physical Layer ◽  
Edge Computing ◽  
Artificial Noise ◽  
Mobile Edge Computing ◽  
Secure Data ◽  
Secure Data Transmission

Nonlinear observer for synchronization of chaotic systems with application to secure data transmission

2014 ◽  
Vol 223 (8) ◽  
pp. 1541-1548 ◽  
Author(s):  
Ricardo Aguilar-López ◽  
Rafael Martínez-Guerra ◽  
Claudia A. Perez-Pinacho
Keyword(s):  
Data Transmission ◽  
Chaotic Systems ◽  
Nonlinear Observer ◽  
Secure Data ◽  
Secure Data Transmission

scholarly journals Elman-Based Secure Data Transmission Quality Prediction for Complex IoT Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Fagen Yin
Keyword(s):  
Data Transmission ◽  
Information Age ◽  
Quality Prediction ◽  
Complex Environments ◽  
Elman Network ◽  
Secure Data ◽  
Secure Data Transmission ◽  
Transmission Quality ◽  
Prediction Approach ◽  
The Internet Of Things

The information age has brought earth-shaking changes. For interconnection of all things, the data transmission has widely employed the Internet of Things (IoT). The IoT transmission faces complex environments. The secure data transmission is very important for mobile IoT networks. The secure data transmission quality prediction is investigated for mobile IoT networks. The probability of strictly positive secrecy capacity (SPSC) is used to evaluate the secure data transmission quality, and the expressions are first derived. Then, employing Elman network, a secure data transmission quality intelligent prediction approach is proposed. The extensive simulations are run to evaluate the proposed approach. The simulation results show that the Elman-based approach can achieve a higher quality precision than other methods. The Elman-based approach also can achieve a lower time complexity.

scholarly journals Efficient and Secure Data Transmission Approach in Cloud-MANET-IoT Integrated Framework

2020 ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Data Transmission ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
The Internet ◽  
Security Issue ◽  
Integrated Framework ◽  
Secure Data Transmission ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) devices have capabilities to interact and communicate in 5G heterogeneous networks. The IoT devices also have capabilities to form a network with neighborhood devices without a centralized approach. This network is called the mobile ad hoc network (MANET). Through an infrastructure-less system of the Internet of Things environment, the MANET enables IoT nodes to interact with one another. Those IoT nodes could interactively connect, communicate as well as share knowledge between several nodes. The role of cloud throughout this structure would be to store as well as interpret information through IoT nodes. The communication security has also been introduced to be one of the techniques in which trying to solve the data transmission security issue that could result in the performance increase in cloud consumption and ubiquity. Our purpose in this research would be to establish a communication system among IoT nodes in such an embedded Cloud and MANET structure. The main goal of this research is to create an efficient and secure approach for communication in Cloud-MANET-IoT integrated framework. This approach is implemented and tested.

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