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检索条件"任意字段=2022 International Communication Engineering and Cloud Computing Conference, CECCC 2022"

共 9154 条记录，以下是31-40 订阅

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Securing cloud Application using SHAKE-256 Hash Algorithm & Antiforgery token

Securing Cloud Application using SHAKE-256 Hash Algorithm & ...

引用

2022 international conference on communication, computing and Internet of Things, IC3IoT 2022

作者： Gopinath, Bhagath Latha, B. Sri Sairam Engineering College Department of Computer Science and Engineering Tamilnadu Chennai India

ISBN: (纸本)9781665479950

In present days, all important data are transferred to the cloud environment to reduce infrastructure in physical devices. But cloud attackers can access and steal information from the cloud environment. As a result, it may affect authenticated users and they can't access the application. To overcome the scenario, SHAKE-256 Hash Algorithm & Antiforgery token was proposed to protect the application and safeguard it from hackers. In this paper, SHAKE-256 Hash algorithm and Antiforgery Token were proposed to protect web application and safeguard from hackers. © 2022 IEEE.

关键词： Hash functions

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An Experimental Study of Relay-Assisted LoRa communication Using UAVs for IoT Applications 10

An Experimental Study of Relay-Assisted LoRa Communication U...

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10th IEEE international conference on Electronics, computing and communication Technologies (IEEE CONECCT)

作者： Anagha, M. S. Vishnuprasad, M. Aradhya, Shreyas Kishore, Rajalekshmi Gurugopinath, Sanjeev Edla, Damodar Reddy Natl Inst Engn Dept Elect & Commun Engn Mysuru 570008 India PES Univ Dept Elect & Commun Engn Bengaluru 560085 India Natl Inst Technol Goa Dept Comp Sci Farmagudi Ponda 403401 Goa India

ISBN: (纸本)9798350385939;9798350385922

In this paper, we consider a long range (LoRa)based unmanned aerial vehicle (UAV)-assisted relay, and study its performance in terms of optimal UAV placement and signal strengths. Our test configuration consists of LoRa modules mounted on top of a hexacopter, demonstrating improved mobility and versatility for various uses. We demonstrate that flying a UAV in proximity of either the LoRa transmitter or receiver is optimal in terms of received signal strength indicator (RSSI) metric. Further, our experiments indicate that the presence of a relay significantly enhances the received RSSI, in comparison with non-line-of-sight communications. Our results demonstrate that UAV-based relaying with LoRa increases the range of data transmission, while providing dependable, affordable, and low-power communications which is useful in internet-of-things (IoT) applications using UAVs.

关键词： Hexacopter internet-of-things (IoT) long range (LoRa) received signal strength indicator (RSSI) relaying unmanned aerial vehicles (UAV)

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Survey on cloud computing Security and Scheduling 12

Survey on Cloud Computing Security and Scheduling

引用

12th international conference on Computer communication and Informatics, ICCCI 2022

作者： Kavitha, T. Hemalatha, S. Saravanan, T.M. Singh, Aashu Kumar Alam, Mohamad Imtiyaj Warshi, Shahbaz Kongu Engineering College Department of Computer Applications Erode Perundurai India

ISBN: (纸本)9781665480352

The purpose of this study is to look at cloud computing Security. The term 'cloud computing' refers to a way of delivering services over the internet. As a network service, computing resources are made available. These services are cost-effective, scalable, and self-contained. cloud computing is responsible for the IT industry's rapid growth. Despite its many benefits, it has a number of security concerns that must be addressed. In order to make cloud computing even more secure and trustworthy, some efforts must be made against the model's hazards. All of the risks linked with cloud computing, as well as potential cures, are evaluated in this paper. Various resources like as memory, software, CPU, and network services are offered on-demand via the internet in cloud computing. Because all resources such as hardware, software, and network are used without physically purchasing them, the company's primary investment in the cloud is retained. Many advances are being implemented in the cloud platform to deliver a better experience for cloud users. © 2022 IEEE.

关键词： Scheduling

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Research on SGX-based Network Adversarial Host Log Highly Trusted Collection Method 2

Research on SGX-based Network Adversarial Host Log Highly Tr...

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2022 2nd conference on High Performance computing and communication engineering, HPCCE 2022

作者： Zhang, Yuxiang Kong, Congwang Xian, Ming Zhang, Hongjiang College of Electronic Science and Technology National University of Defense Technology Hunan Changsha410000 China College of Electronics and Information Engineering Ankang University Shaanxi Ankang725000 China

ISBN: (纸本)9781510663374

With the increasingly fierce offensive and defensive confrontation in cyberspace, security threats have spread to the field of network terminal equipment data monitoring and collection, and the problems of network terminal equipment data collection being damaged and tampered with under the offensive and defensive environment are prominent. To this end, this paper proposes an SGX-based network countermeasure host log highly trusted collection method, adopts SGX hardware-level protection technology as the security reinforcement means, and conducts research on log collection methods, transmission methods, and storage methods. In this paper, the SGX-based network countermeasure host log highly trusted collection system is designed with full consideration of the collection strategy for host logs of multi-operating system platforms. At the same time, not only the physical host collection scenario is considered in the scheme design, but also the host log collection task for virtual machines in the cloud platform with the continuous development of cloud computing, which greatly broadens the application scenario of this method and satisfies most of the network scenarios in reality. © 2023 SPIE.

关键词： Digital storage

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Load Balancing in cloud computing based on Ant Colony Optimization and Crow Search Algorithm 27

Load Balancing in Cloud Computing based on Ant Colony Optimi...

引用

27th international conference on Advanced communications Technology, ICACT 2025

作者： Alsheavi, Amar N. Wang, Xingfu Zhao, Wei Hawbani, Ammar Alhusaini, Naji Ahmed, Ibrahim Abdulrab Ismail, A.S. School of Computer Science and Technology University of Science and Technology of China Anhui Hefei230027 China School of Computer Science and Technology Anhui University of Technology Anhui China School of Computer Science Shenyang Aerospace University Shenyang110136 China School of Computer and Information Engineering Chuzhou University Anhui Chuzhou239000 China Computer Department Applied College Najran University Najran66462 Saudi Arabia College of Life Sciences and Oceanography Shenzhen University Shenzhen518060 China Faculty of Science Zagazig University Zagazig44519 Egypt

ISBN: (纸本)9791188428137

With the rapid increase in cloud services and the increasing shift toward them, balancing the cloud load has become a critical research issue. The increasing demand from customers for technology services worldwide is largely due to its direct impact on performance quality. Therefore, to provide better service quality, it is essential to consider reducing response time and cost in load balancing. This paper addresses the load-balancing problem by optimizing response time and computing cost in cloud computing systems. Specifically, we first formulated the load balancing problem in cloud computing mathematically by designing an objective function that optimizes response time and cost, including constraints to ensure task assignment to a single virtual machine (VM) and resource limits are not exceeded. To solve this optimization problem, we proposed a hybrid algorithm, ACOCSA, that combines Ant Colony Optimization (ACO) and Crow Search Algorithm (CSA). We implemented the ACOCSA algorithm, evaluated the response time, cost, and load balancing metrics, and found that our algorithm performed better in terms of response time and computational cost, and showed good fairness among VMs. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Ant colony optimization

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A Comparative Study on cloud computing, Edge computing and Fog computing 1

A Comparative Study on Cloud Computing, Edge Computing and F...

引用

1st international conference on Recent Developments in Electronics and communication Systems, RDECS 2022

作者： Tank, Birju Gandhi, Vaibhav Gujarat Technological University India B H GARDI COLLEGE of ENGINEERIGN & TECHNOLOGY India

ISBN: (纸本)9781643683607

In the recent era, cloud computing has emerged as a high demanding technology. Apart from the cloud computing, edge and fog computing also becoming popular. cloud computing was developed to provide steady and expansible services to end-users as well as industries. The merger of cloud computing with smart devices brings us into a new version of computing. Presently, Edge computing and fog computing techniques are flattering the world after cloud computing, which has all matured with the limitations in cloud. The objective of this study is to examine the current trends and concepts in detail, also, to provide a comparative study for the fog computing, edge computing, and cloud computing. This study includes few features, application, advantages as well as disadvantages, and the contrast between these technologies and how every one of them is effective for different applications. © 2023 The authors and IOS Press.

关键词： Internet of things

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cloud computing Security using Cryptographic Algorithms 6

Cloud Computing Security using Cryptographic Algorithms

引用

6th international conference on computing Methodologies and communication, ICCMC 2022

作者： Shirgaonkar, Mithila Shinde, Ashutosh Sankpal, Pradnya Gutte, Vitthal Dr. Vishwanath Karad MIT World Peace University School of Computer Engineering Technology Pune India

ISBN: (纸本)9781665410281

This paper aims to present the survey of cloud computing security. A cloud computing security is defined so that it can help to clarify cloud security. cloud computing has evolved to become an essential component of both current and future information technologies. This technology was created to be used in conjunction with the internet, and it includes features such as data storage, remote access, and so on. Various cryptographic encryption algorithms are compared in terms of their various key features. The primary goal is to highlight such attacks and provide recommendations for resolving data breaching issues using cryptographic algorithms such as Symmetric Key Cryptographic Algorithms (DES, 3DES, AES), Asymmetric Key Cryptographic Algorithms (RSA, DSA, Diffie-Hellman Algorithm), and Hashing Algorithms (MD5, SHA). So, in the paper cloud security challenges and the cryptographic algorithms used to prevent them are discussed. © 2022 IEEE.

关键词： cloud security

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Comparative Analysis on Collaborative cloud-Edge-End computing Architecture of High-Speed Train 23

Comparative Analysis on Collaborative Cloud-Edge-End Computi...

引用

23rd IEEE international conference on communication Technology, ICCT 2023

作者： Liu, Jinrui Song, Jian Wang, Hongwei Lin, Siyu School of Electronic and Information Engineering Beijing Jiaotong University China Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University China China Railway Information Technology Group Co. Ltd. Beijing100844 China

ISBN: (纸本)9798350325959

In this paper, we propose two collaborative cloud-edge-end computing architectures for the intelligent services of the high-speed train (HST), in which the edge servers are deployed along the railway lines or in the HST, respectively. To minimize the latency of intelligent services, two average latency minimization problems for two architectures are formulated, in which the impacts of train-ground fast-time varying channels are considered. Then, we investigate the optimal bandwidth allocation strategy for parallel transmission of sensor data and design a resource allocation and task offloading algorithm based on differential evolution (RATODE) to realize the resource allocation and task offloading. In simulations, we compare the performance of cloud-edge-end collaborative computing with local computing, edge computing and cloud computing and analyze the reasons for the different performance of two architectures. The simulation results show that the RATODE algorithm can decrease average task latency than other strategies and the lower latency can be achieved when edge servers are deployed in the carriages of HST. The deployment suggestions of edge servers are also given based on the cost and performance of the two architectures. © 2023 IEEE.

关键词： cloud-edge-end Differential Evolution fast time-varying fading channel resource allocation task offloading

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Comparison of Data Processing Performance of Hadoop and Spark Based on Huawei cloud and Serverless 1

引用

2nd international conference on Artificial Intelligence, Robotics, and communication, ICAIRC 2022

作者： Pang, Shize Su, Runqi Tan, Ruochen Beijing University of Post and Telecommunications Beijing100876 China School of Computer Science and Information Engineering Xiamen Institute of Technology Fujian Xiamen361021 China School of Communication University of Miami MiamiFL33124 United States

ISBN: (数字)9789819945542

ISBN: (纸本)9789819945535

The optimal choice between serverless computing and traditional server computing, the current frontier in the machine learning and cloud server industries, has always been controversial. In contrast, serverless computing has better resource utilization but is restricted to a certain range of applications. Therefore, the research on serverless computing is not only the future direction of development, but also an essential practice direction. This paper deployed and built an experimental solution based on Huawei cloud serverless platform, compared and analyzed various data processing algorithms under MapReduce in Huawei cloud serverless platform, summarized their advantages and disadvantages, and found the areas where each algorithm is promising. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： MapReduce

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Data Mining Algorithm Based on cloud computing in Course Teaching Service Platform

Data Mining Algorithm Based on Cloud Computing in Course Tea...

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2022 international Joint conference on Information and communication engineering, JCICE 2022

作者： Duan, Xiaoxue Chongqing Three Gorges Vocational College Information Construction Office Wanzhou404000 China

ISBN: (数字)9781665460675

ISBN: (纸本)9781665460675

With the mighty computing power provided by cloud computing and its distributed computing platform, the combination of cloud computing and data mining has vast advantages and potentials. The use of cloud computing data mining algorithms can help optimize the course teaching system. This article aims to study the application of the course teaching service platform based on cloud computing data mining algorithm. Firstly, it outlines the concepts, and then builds the application framework of data cloud mining in the network teaching platform. Next, make the educational data cloud mining platform development tools and environment, and perform performance tests on the course teaching service platform based on data cloud mining. The experimental results show that the response speed is less than 0.3 seconds, and the performance is all keep it normal. Finally, the data mining cloud application of the English grammar-guided data-driven learning platform is discussed. © 2022 IEEE.

关键词： Data mining

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