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 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 Reliable Internet of Things: Challenges and Future Trends

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2377
Author(s):  
Mohammad Zubair Khan ◽  
Omar H. Alhazmi ◽  
Muhammad Awais Javed ◽  
Hamza Ghandorh ◽  
Khalid S. Aloufi
Keyword(s):  
Internet Of Things ◽  
Data Transmission ◽  
Data Analytics ◽  
Machine Learning Techniques ◽  
Future Directions ◽  
Learning Techniques ◽  
Increase Productivity ◽  
Vital Component ◽  
Security And Reliability ◽  
The Internet Of Things

The Internet of Things (IoT) is a vital component of many future industries. By intelligent integration of sensors, wireless communications, computing techniques, and data analytics, IoT can increase productivity and efficiency of industries. Reliability of data transmission is key to realize several applications offered by IoT. In this paper, we present an overview of future IoT applications, and their major communication requirements. We provide a brief survey of recent work in four major areas of reliable IoT including resource allocation, latency management, security, and reliability metrics. Finally, we highlight some of the important challenges for reliable IoT related to machine learning techniques, 6G communications and blockchain based security that need further investigation and discuss related future directions.

scholarly journals Dependable and Secure Voting Mechanism in Edge Computing

2019 ◽  
Vol 11 (12) ◽  
pp. 262
Author(s):  
Pedro A.R.S. Costa ◽  
Marko Beko
Keyword(s):  
Middle Layer ◽  
Edge Computing ◽  
Cloud Environment ◽  
Computing Paradigm ◽  
Edge Network ◽  
And Storage ◽  
The Internet Of Things ◽  
Multi Cloud ◽  
Voting Mechanism ◽  
Open Issues

Edge computing is a distributed computing paradigm that encompasses data computing and storage and is performed close to the user, efficiently guaranteeing faster response time. This paradigm plays a pivotal role in the world of the Internet of Things (IoT). Moreover, the concept of the distributed edge cloud raises several interesting open issues, e.g., failure recovery and security. In this paper, we propose a system composed of edge nodes and multiple cloud instances, as well as a voting mechanism. The multi-cloud environment aims to perform centralized computations, and edge nodes behave as a middle layer between edge devices and the cloud. Moreover, we present a voting mechanism that leverages the edge network to validate the performed computation that occurred in the centralized environment.

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.

scholarly journals An Efficient Cryptosystem for Video Surveillance in the Internet of Things Environment

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Rafik Hamza ◽  
Alzubair Hassan ◽  
Teng Huang ◽  
Lishan Ke ◽  
Hongyang Yan
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Surveillance Systems ◽  
Surveillance Video ◽  
Automatic Summarization ◽  
Significant Information ◽  
Real Time Processing ◽  
Transmission Cost ◽  
And Storage ◽  
The Internet Of Things

Surveillance systems paradigm envisions the pervasive interconnection and cooperation of interactive devices over the Internet infrastructure. Nevertheless, dissemination and processing of surveillance video amid the Internet of Things (IoT) applications become a susceptible issue due to the large volume and the significant information of these data. Moreover, surveillance devices on IoT have very limited resources such as memory and storage. The actual security methods are not quite appropriate for surveillance IoT systems. Thus, a particular cryptosystem technique is required for surveillance data security. In this paper, we propose an efficient cryptosystem to secure IoT-based surveillance systems. The proposed cryptosystem framework contains three parts. First, a lightweight automatic summarization technique based on a fast histogram-clustering approach is used to extract the keyframes from the surveillance video. Then, we employ a discrete cosine transform (DCT) technique to compress the extracted data size. Finally, the proposed framework performs an efficient image encryption algorithm by employing a discrete fractional random transform (DFRT). The testing results and analysis confirm the features of the proposed cryptosystem on surveillance systems. The proposed framework is fast and ensures secure and efficient real-time processing by minimizing the transmission cost and storage.

scholarly journals A Security Transmission and Storage Solution about Sensing Image for Blockchain in the Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 916 ◽  
Author(s):  
Yunfa Li ◽  
Yifei Tu ◽  
Jiawa Lu ◽  
Yunchao Wang
Keyword(s):  
Internet Of Things ◽  
High Reliability ◽  
Rapid Development ◽  
Security Requirements ◽  
The Internet ◽  
Image Information ◽  
Security Issues ◽  
And Storage ◽  
The Internet Of Things ◽  
Storage Solution

With the rapid development of the Internet of Things (IoT), the number of IoT devices has increased exponentially. Therefore, we have put forward higher security requirements for the management, transmission, and storage of massive IoT data. However, during the transmission process of IoT data, security issues, such as data theft and forgery, are prone to occur. In addition, most existing data storage solutions are centralized, i.e., data are stored and maintained by a centralized server. Once the server is maliciously attacked, the security of IoT data will be greatly threatened. In view of the above-mentioned security issues, a security transmission and storage solution is proposed about sensing image for blockchain in the IoT. Firstly, this solution intelligently senses user image information, and divides these sensed data into intelligent blocks. Secondly, different blocks of data are encrypted and transmitted securely through intelligent encryption algorithms. Finally, signature verification and storage are performed through an intelligent verification algorithm. Compared with the traditional IoT data transmission and centralized storage solution, our solution combines the IoT with the blockchain, making use of the advantages of blockchain decentralization, high reliability, and low cost to transfer and store users image information securely. Security analysis proves that the solution can resist theft attacks and ensure the security of user image information during transmission and storage.

scholarly journals A novel approach for IoT tasks offloading in edge-cloud environments

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jaber Almutairi ◽  
Mohammad Aldossary
Keyword(s):  
Service Time ◽  
Edge Computing ◽  
Cloud System ◽  
Novel Approach ◽  
Delay Sensitivity ◽  
Cloud Environments ◽  
Application Characteristics ◽  
Iot Devices ◽  
Computational Resources ◽  
And Storage

AbstractRecently, the number of Internet of Things (IoT) devices connected to the Internet has increased dramatically as well as the data produced by these devices. This would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud Computing. Although Edge Computing is a promising enabler for latency-sensitive related issues, its deployment produces new challenges. Besides, different service architectures and offloading strategies have a different impact on the service time performance of IoT applications. Therefore, this paper presents a novel approach for task offloading in an Edge-Cloud system in order to minimize the overall service time for latency-sensitive applications. This approach adopts fuzzy logic algorithms, considering application characteristics (e.g., CPU demand, network demand and delay sensitivity) as well as resource utilization and resource heterogeneity. A number of simulation experiments are conducted to evaluate the proposed approach with other related approaches, where it was found to improve the overall service time for latency-sensitive applications and utilize the edge-cloud resources effectively. Also, the results show that different offloading decisions within the Edge-Cloud system can lead to various service time due to the computational resources and communications types.

scholarly journals Transparent CoAP Services to IoT Endpoints through ICN Operator Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1339 ◽  
Author(s):  
Hasan Islam ◽  
Dmitrij Lagutin ◽  
Antti Ylä-Jääski ◽  
Nikos Fotiou ◽  
Andrei Gurtov
Keyword(s):  
Storage Capacity ◽  
Communication Overhead ◽  
Full Potential ◽  
Core Network ◽  
Computation Complexity ◽  
State Management ◽  
Iot Devices ◽  
Novel Applications ◽  
And Storage ◽  
The Internet Of Things

The Constrained Application Protocol (CoAP) is a specialized web transfer protocol which is intended to be used for constrained networks and devices. CoAP and its extensions (e.g., CoAP observe and group communication) provide the potential for developing novel applications in the Internet-of-Things (IoT). However, a full-fledged CoAP-based application may require significant computing capability, power, and storage capacity in IoT devices. To address these challenges, we present the design, implementation, and experimentation with the CoAP handler which provides transparent CoAP services through the ICN core network. In addition, we demonstrate how the CoAP traffic over an ICN network can unleash the full potential of the CoAP, shifting both overhead and complexity from the (constrained) endpoints to the ICN network. The experiments prove that the CoAP Handler helps to decrease the required computation complexity, communication overhead, and state management of the CoAP server.

scholarly journals Survey on Prominent RFID Authentication Protocols for Passive Tags

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3584 ◽  
Author(s):  
Rania Baashirah ◽  
Abdelshakour Abuzneid
Keyword(s):  
Radio Frequency Identification ◽  
Large Scale ◽  
Security Requirements ◽  
The Internet ◽  
Authentication Protocols ◽  
Reliable System ◽  
Passive Tags ◽  
Frequency Identification ◽  
Rfid Authentication Protocols ◽  
The Internet Of Things

Radio Frequency Identification (RFID) is one of the leading technologies in the Internet of Things (IoT) to create an efficient and reliable system to securely identify objects in many environments such as business, health, and manufacturing areas. Recent RFID authentication protocols have been proposed to satisfy the security features of RFID communication. In this article, we identify and review some of the most recent and enhanced authentication protocols that mainly focus on the authentication between a reader and a tag. However, the scope of this survey includes only passive tags protocols, due to the large scale of the RFID framework. We examined some of the recent RFID protocols in term of security requirements, computation, and attack resistance. We conclude that only five protocols resist all of the major attacks, while only one protocol satisfies all of the security requirements of the RFID system.

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