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Research on Media communication Methods in the Context of Intelligent Algorithms

Research on Media Communication Methods in the Context of In...

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2022 international conference on Mathematics, Modeling, and Computer Science, MMCS 2022

作者： Zhang, Yu Guangxi University Guangxi China

ISBN: (纸本)9781510664593

After news communication enters the era of big data, algorithms recommendation, cloud computing, big data analysis and other technologies have been widely used in the field of media communication, media communication forms have changed in essence under the context of new intelligent algorithms. According to the analysis of the current situation of news and information dissemination in recent years, intelligent algorithm recommendation makes information dissemination and individual reading become more intelligent, and gradually changes the traditional dissemination mode of people seeking information. However, the abuse of technology also leads to issues such as content homogeneity, algorithm discrimination and big data killer, which directly threaten the Internet environment and information security, and may even cause negative impacts on society and economy in serious cases. Therefore, on the basis of understanding the development status of new media communication under the background of big data algorithm, this paper proposes corresponding communication methods according to the generation and dissemination mode of news in the context of intelligent algorithm, so as to provide required information for system users. © 2023 SPIE.

关键词： Big data

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An IoT-based Optimization scheme on task scheduling for minimizing energy in cloud computing 8

An IoT-based Optimization scheme on task scheduling for mini...

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8th international conference on Advanced computing and communication Systems, ICACCS 2022

作者： Ravi Kumar, D. N. S Kumar, K. Praveen Raju, K. Goutham Gowsalya, S. Balraj, Lavina Kumar Srivastava, Ajeet School of Electrical & Electronics Engineering Sathyabama Institute of Science & Technology Chennai119 India Kakatiya Institute of Technology and Science Department of Information Technology Warangal India St. Joseph College of Engineering Sriperumbudur India Harcourt Butler Technical University Kanpur India

ISBN: (纸本)9781665408165

Energy conservation is an important concern in virtualized cloud computing systems since it can have numerous benefits, including lower operating costs, enhancing scheme efficacy, and saving the atmosphere. At the same time, implementing a task allocation technique that is low on energy provides an option for achieving these ends. However, the cloud computing method's problem with work scheduling is more complex than that of the ordinary distributed system. Virtual machine (VM) instances use in the bulk of prior scheduling methods, which have long startup times and necessitate the usage of all available system resources. It's also difficult to match cloud resources with user requests to keep energy consumption to a minimum and maximize performance. Using a Honey Badger algorithm (HBA) in a heterogeneous virtualized cloud, this study provides a task scheduling approach that reduces energy consumption. This paper's main goal is to discover which cloud scheduling key is most significant. First, a group of decision-makers must decide on the criteria for review. An optimization technique is then used to give weights for each criterion and then measure the best solution. Finally, the cloudSim toolkit's assessment measures, such as makespan, energy consumption, and resource utilization, are used to compare the performance of the novel and existing algorithms. © 2022 IEEE.

关键词： cloud computing

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Power grid key data mining based on edge computing 2

Power grid key data mining based on edge computing

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2nd international conference on cloud computing and Mechatronic engineering, I3CME 2022

作者： Wang, Yuedong Wang, Wei Sun, Yao Niu, Mingzhu Shi, Cheng State Grid Dalian Electric Power Supply Company Liaoning Dalian116001 China

ISBN: (纸本)9781510657502

In recent years, with the rapid development of smart grid, the situation of user privacy disclosure and communication channel congestion has also intensified. The integration of edge computing and smart grid makes full use of the storage and computing power of cloud computing, while absorbing the real-time and distributed characteristics of edge computing, which solves the problem of communication channel congestion to a certain extent. The edge computing architecture itself still has many security risks, and privacy disclosure is unavoidable. The main research content of this paper is how to realize privacy-preserving and efficient data transmission in smart grid in the edge computing environment with limited computing resources and insecurity. The proposed smart grid data aggregation scheme can effectively protect the privacy of users from being violated, and has low computational and communication overhead. At the same time, it is convenient for service providers to analyze the data and further improve the security and reliability of the smart grid. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Data mining

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A multi-user task offloading strategy in edge computing based on Lyapunov optimization 3

A multi-user task offloading strategy in edge computing base...

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3rd international conference on Computer communication and Network Security, CCNS 2022

作者： Shuxu, Zhao Junwei, Xia School of Electronic and Information Engineering Lanzhou Jiaotong University Gansu Lanzhou730070 China

ISBN: (纸本)9781510660113

Based on three tier heterogeneous network, we examine the problem of energy consumption optimization with latency constraints, establishing a hierarchical computing model with multiple layers under heterogeneous network, each layer representing its individual computing model. An offloading strategy will be optimized to reduce energy consumption while ensuring latency constraints. Lyapunov optimization theory will be utilized along with a heuristic algorithm called Coral Reef Optimization (CRO) to analyze the current workload and available computing capacity of edge and cloud servers, making an efficient compute offloading choice reduces the energy used by cloud servers while still adhering to latency restrictions.. Simulation result shows that compared to cloud-only and edge-ward strategies, the proposed strategy shows improvements in term of energy reduction as well as execution time. © 2022 SPIE.

关键词： Edge computing

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A quantum computing simulator scheme using MPI technology on cloud platform

A quantum computing simulator scheme using MPI technology on...

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IEEE international conference on Electrical engineering, Big Data and Algorithms (EEBDA)

作者： Huang, Zhiguo Qian, Ling Cai, Dunbo China Mobile Suzhou Software Technol Co Ltd Suzhou 215163 Peoples R China

ISBN: (纸本)9781665416061

With the deeply studied of quantum computing by research fellows, the computational complexity and time complexity of quantum algorithms gradually increase. The quantum computing simulator provides an effective platform for the development and verification of quantum algorithms. However, the running time and memory overhead during calculation will increase exponentially with the number of qubits. Therefore, the difficulty of high-speed quantum computing on classical computers will gradually increase. At present, a single node has been unable to meet the resource requirements of the algorithm in the quantum computing process, and it is necessary to expand the memory resources in the multi-node computing cluster. Message passing interface has high performance inter-process communication capabilities, which can balance the data transmission between different hosts. Quantum computing tasks can be distributed on several servers to work together to solve the same problem. Therefore, this paper designs an advanced scheme of deploying quantum computing programs on cloud computing platform to support message exchanging between servers using message passing interface to accelerate quantum computing.

关键词： quantum computing message passing interface quantum simulator compute acceleration

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Near-Source Attack for Isolated Networks with Covert Channel Transmission 10

Near-Source Attack for Isolated Networks with Covert Channel...

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10th IEEE international conference on Cyber Security and cloud computing and 9th IEEE international conference on Edge computing and Scalable cloud, CScloud-EdgeCom 2023

作者： Ruan, Zhiqiang Yang, Yuchen Chen, Lejia Minjiang University College of Computer and Control Engineering Fuzhou China

ISBN: (纸本)9798350312461

This paper investigates a new attack method called "near-source attack". It leverages the broadcast frames of the 802.11 protocol to establish a hidden tunnel and bypass physical isolation networks or air-gapped networks. We first analyze and implement a common technology known as Ghost Tunnel, which allows the attacker to control the target host and transmit information without being detected. However, this method suffers from frame loss, repeated frame, and attack transparency. We then propose an improved solution to deliver malicious programs to the target host using a modified BadUSB hardware device. Once the attackers successfully get in the isolated networks, they can bypass security protection devices and exploit vulnerabilities of communication protocols, so that they can remote control of target devices and hidden data transmission. We further conducted experiments to verify the feasibility and effectiveness of this attack scheme. The results indicate that the attack logic is capable of inducing the target host to engage in covert communication. Finally, we give some defense measures for such attacks. © 2023 IEEE.

关键词： Remote control

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RI Learning Approach for Improved Workload and Resource Allocation in cloud computing 2

RI Learning Approach for Improved Workload and Resource Allo...

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2nd IEEE international conference on Advanced Technologies in Intelligent Control, Environment, computing and communication engineering, ICATIECE 2022

作者： Ojha, Sunita Navneet Vishnoi, I. Jaipur National University Department of Engineering and Technology Jaipur India Teerthanker Mahaveer University Department of Computing Science and IT Moradabad India

ISBN: (纸本)9781665493963

Resource Allocation (RA) in cloud computing is the process of allocating available resources to required cloud applications across a network connection. If resources aren't distributed efficiently, essential services will suffer. Utilizing the Credal C-Means (CCM) technique, we group virtual machines across all data centres. We keep two entities, including a load monitor and a migrator, to keep the weight of each CSP steady. Here, a load monitor calculates an approximate data centre workload, and a migrator transfers live virtual machines. In this case, the Hybrid Copy method is used to relocate running virtual machines. We are able to do both internal and external live VM migration across CSPs. We use the cloudsim tool to demonstrate the efficacy of our strategy in a federation setting. cloudsim's simulation findings are positive across the board, but especially in regards to communication cost. © 2022 IEEE.

关键词： Virtual machine

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Internet of Things Assisted Blockchain based Secured cloud Data Maintenance Scheme

Internet of Things Assisted Blockchain based Secured Cloud D...

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2022 IEEE international conference on Advances in computing, communication and Applied Informatics, ACCAI 2022

作者： Ali, Ahmed Mudassar Bapu, B R Tapas Partheeban, N. Nagaraju, V. Kumar, N. Jagadish S.A. Engineering College Department of Information Technology Chennai India S.A. Engineering College Department of ECE Chennai India School of Computing Science and Engineering Galgotias University Greater Noida Delhi India Saveetha School of Engineering SIMATS Department of CSE Chennai India Velammal Institute of Technology Department of IT Chennai India

ISBN: (纸本)9781665495295

The term 'Internet-of-Things (IoT)' has received a loT of interest nowadays. Blockchain has previously been employed in IoT as a reliable, robust and decentralized way. Furthermore, the present blockchain technology has a number of shortcomings that preclude it from serving as a general IoT infrastructure. The networks in the Internet of Things are severely resource constrained, particularly in terms of processing and communication capabilities. Regrettably, they are required by the Blockchain in order to achieve research objectives and disseminate blocks. We present a novel mining and cloud handling methodologies in this study to address the aforementioned challenge in the Blockchain assisted IoT, which is called as 'Deep Precise Networking Model (DPNM)'. To be more precise, miners function as data mining drivers for IoT terminals, outsource processing duties to deliver effective cloud enabled servers and flexibly allocate networking connections. Additionally, in addition to improve efficiency, the access control determination challenge, computational resource allocation algorithm and communication resource allocation issue are combined into a single optimization method. We next offer a competing back-propagation learning technique for resolving this issue and the subsequent section thoroughly justifies the efficacy of our proposed technique DPNM. © 2022 IEEE.

关键词： Internet of things

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Certain Investigation of Various Attacks and Vulnerabilites in IoT and cloud Environment 6

Certain Investigation of Various Attacks and Vulnerabilites ...

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6th international conference on I-SMAC (IoT in Social, Mobile, Analytics and cloud), I-SMAC 2022

作者： Sarmila, K.B. Manisekaran, S.V. Sri Eshwaar College of Engineering Department of Computer Science and Engineering Coimbatore India Anna University Regional Campus Coimbatore Department of Information Technology India

ISBN: (数字)9781665469418

ISBN: (纸本)9781665469418

Extensive development in networking and data communication among IoT devices has involved cloud computing in IoT environments to handle the ongoing data processing demands. The accelerated growth and integration of IoT and cloud computing led to parallel expansion in the requirement of security and privacy of data at various levels of communication. Through communication with each other, these technologies aim at simplifying human life but are more vulnerable to different types of attacks. This paper focuses on building a knowledge base on various attacks on the IoT environment and highlights the importance of implementing data protection methodologies. Awareness of various threats is the initial step in providing sufficient protection to data. This paper recognizes research directions and challenges to integrate possible techniques and protective solutions to overcome malicious attacks in IoT and cloud. © 2022 IEEE.

关键词： Authentication

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To design and develop LoRa-based system for remote safety monitoring 10

To design and develop LoRa-based system for remote safety mo...

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10th international conference on Emerging Trends in engineering and Technology - Signal and Information Processing, ICETET-SIP-22 2022

作者： Ingle, Shweta Salankar, Suresh Prasad, Shyam Department of Electronics and Telecommunication Engineering Nagpur India Tecxtra Technologies Pvt. Ltd. Tecxtra Technologies Pvt. Ltd. Nagpur India

ISBN: (纸本)9781665467414

Hazardous area, such as coal mines are below the earth surface. Below certain level there are dangerous and flammable gases. Unavailability of any mobile Network makes such area black spot for communication. In this paper, describe the using of LoRa that provide an wireless network upto certain range in this range using an another LoRa thatreceive and again retransmit the same data resulting in doubling the range of communication. Adding Lora repeaters multiply the range of communication. In such way routing sensor data till area where GPRS Packets are available and then upload the data to cloud. This can turn any black spot for communication reach to cloud storage. © 2022 IEEE.

关键词： Hazardous areas cloud computing Gases Wireless networks Information processing Routing Repeaters

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