scholarly journals Clustering Based Physical-Layer Authentication in Edge Computing Systems with Asymmetric Resources

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1926 ◽  
Author(s):  
Yi Chen ◽  
Hong Wen ◽  
Jinsong Wu ◽  
Huanhuan Song ◽  
Aidong Xu ◽  
...  
Keyword(s):  
User Authentication ◽  
Computing System ◽  
Physical Layer ◽  
Edge Computing ◽  
Small Integer ◽  
Channel State ◽  
Computing Systems ◽  
Notable Increase ◽  
Intelligent Devices ◽  
Secure Authentication

In this paper, we propose a clustering based physical-layer authentication scheme (CPAS) to overcome the drawback of traditional cipher-based authentication schemes that suffer from heavy costs and are limited by energy-constrained intelligent devices. CPAS is a novel cross-layer secure authentication approach for edge computing system with asymmetric resources. The CPAS scheme combines clustering and lightweight symmetric cipher with physical-layer channel state information to provide two-way authentication between terminals and edge devices. By taking advantage of temporal and spatial uniqueness in physical layer channel responses, the non-cryptographic physical layer authentication techniques can achieve fast authentication. The lightweight symmetric cipher initiates user authentication at the start of a session to establish the trust connection. Based on theoretical analysis, the CPAS scheme is secure and simple, but there is no trusted party, while it can also resist small integer attacks, replay attacks, and spoofing attacks. Besides, experimental results show that the proposed scheme can boost the total success rate of access authentication and decrease the data frame loss rate, without notable increase in authentication latencies.

scholarly journals Microservice Security Agent Based On API Gateway in Edge Computing

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4905 ◽  
Author(s):  
Rongxu Xu ◽  
Wenquan Jin ◽  
Dohyeun Kim
Keyword(s):  
Data Storage ◽  
User Authentication ◽  
Edge Computing ◽  
Security And Privacy ◽  
Agent Based ◽  
Computing Platform ◽  
Authentication Mechanism ◽  
Computing Paradigm ◽  
Security Agent ◽  
Secure Authentication

Internet of Things (IoT) devices are embedded with software, electronics, and sensors, and feature connectivity with constrained resources. They require the edge computing paradigm, with modular characteristics relying on microservices, to provide an extensible and lightweight computing framework at the edge of the network. Edge computing can relieve the burden of centralized cloud computing by performing certain operations, such as data storage and task computation, at the edge of the network. Despite the benefits of edge computing, it can lead to many challenges in terms of security and privacy issues. Thus, services that protect privacy and secure data are essential functions in edge computing. For example, the end user’s ownership and privacy information and control are separated, which can easily lead to data leakage, unauthorized data manipulation, and other data security concerns. Thus, the confidentiality and integrity of the data cannot be guaranteed and, so, more secure authentication and access mechanisms are required to ensure that the microservices are exposed only to authorized users. In this paper, we propose a microservice security agent to integrate the edge computing platform with the API gateway technology for presenting a secure authentication mechanism. The aim of this platform is to afford edge computing clients a practical application which provides user authentication and allows JSON Web Token (JWT)-based secure access to the services of edge computing. To integrate the edge computing platform with the API gateway, we implement a microservice security agent based on the open-source Kong in the EdgeX Foundry framework. Also to provide an easy-to-use approach with Kong, we implement REST APIs for generating new consumers, registering services, configuring access controls. Finally, the usability of the proposed approach is demonstrated by evaluating the round trip time (RTT). The results demonstrate the efficiency of the system and its suitability for real-world applications.

scholarly journals EdgeAvatar: An Edge Computing System for Building Virtual Beings

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 229
Author(s):  
Neftali Watkinson ◽  
Fedor Zaitsev ◽  
Aniket Shivam ◽  
Michael Demirev ◽  
Mike Heddes ◽  
...  
Keyword(s):  
Language Processing ◽  
Computing System ◽  
Physical World ◽  
Edge Computing ◽  
Conversational Agents ◽  
Computing Systems ◽  
Historical Figures ◽  
Specialized Hardware ◽  
Speech And Language Processing ◽  
Venice Biennale

Dialogue systems, also known as conversational agents, are computing systems that use algorithms for speech and language processing to engage in conversation with humans or other conversation-capable systems. A chatbot is a conversational agent that has, as its primary goal, to maximize the length of the conversation without any specific targeted task. When a chatbot is embellished with an artistic approach that is meant to evoke an emotional response, then it is called a virtual being. On the other hand, conversational agents that interact with the physical world require the use of specialized hardware to sense and process captured information. In this article we describe EdgeAvatar, a system based on Edge Computing principles for the creation of virtual beings. The objective of the EdgeAvatar system is to provide a streamlined and modular framework for virtual being applications that are to be deployed in public settings. We also present two implementations that use EdgeAvatar and are inspired by historical figures to interact with visitors of the Venice Biennale 2019. EdgeAvatar can adapt to fit different approaches for AI powered conversations.

scholarly journals An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8264
Author(s):  
Seung-Yeon Kim ◽  
Yi-Kang Kim
Keyword(s):  
Energy Efficient ◽  
Stochastic Game ◽  
Computing System ◽  
Edge Computing ◽  
Task Completion ◽  
Computing Systems ◽  
Best Response ◽  
Aerial Vehicle ◽  
Complete Computation ◽  
The Individual

An edge computing system is a distributed computing framework that provides execution resources such as computation and storage for applications involving networking close to the end nodes. An unmanned aerial vehicle (UAV)-aided edge computing system can provide a flexible configuration for mobile ground nodes (MGN). However, edge computing systems still require higher guaranteed reliability for computational task completion and more efficient energy management before their widespread usage. To solve these problems, we propose an energy efficient UAV-based edge computing system with energy harvesting capability. In this system, the MGN makes requests for computing service from multiple UAVs, and geographically proximate UAVs determine whether or not to conduct the data processing in a distributed manner. To minimize the energy consumption of UAVs while maintaining a guaranteed level of reliability for task completion, we propose a stochastic game model with constraints for our proposed system. We apply a best response algorithm to obtain a multi-policy constrained Nash equilibrium. The results show that our system can achieve an improved life cycle compared to the individual computing scheme while maintaining a sufficient successful complete computation probability.

scholarly journals Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry

Life ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 310
Author(s):  
Shih-Chia Chang ◽  
Ming-Tsang Lu ◽  
Tzu-Hui Pan ◽  
Chiao-Shan Chen
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Multiple Criteria Decision Making ◽  
Cloud Service ◽  
Computing System ◽  
Healthcare Industry ◽  
Computing Systems ◽  
Factors Affecting ◽  
Cloud Computing System ◽  
Health Cloud

Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.

Blockchain-based mobile edge computing system

2021 ◽  
Vol 561 ◽  
pp. 70-80
Author(s):  
Guangshun Li ◽  
Xinrong Ren ◽  
Junhua Wu ◽  
Wanting Ji ◽  
Haili Yu ◽  
...  
Keyword(s):  
Computing System ◽  
Edge Computing ◽  
Mobile Edge Computing

scholarly journals Energy-aware Resource Management for Federated Learning in Multi-access Edge Computing Systems

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Chit Wutyee Zaw ◽  
Shashi Raj Pandey ◽  
Kitae Kim ◽  
Choong Seon Hong
Keyword(s):  
Resource Management ◽  
Edge Computing ◽  
Energy Aware ◽  
Computing Systems ◽  
Multi Access
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