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共 396 条记录，以下是101-110 订阅

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distributed Denial of Services (DDoS) Botnet Attack Prevention in internet of Things (IoT) Devices Using AI

Distributed Denial of Services (DDoS) Botnet Attack Preventi...

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Smart Generation computing, Communication and Networking (SMART GENCON), international conference on

作者： Kaushiv Garg Kanwarpartap Singh Gill Rahul Chauhan Devyani Rawat Deepak Banerjee Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Computer Science and Engineering Graphic Era Hill University Dehradun Uttarakhand India

The expeditious adoption of internet of Things (IoT) devices has facilitated the emergence of complex cybersecurity risks, notably distributed Denial of Service (DDoS) botnet assaults, which pose a substantial danger. With the exponential growth of interconnected devices inside the internet of Things (IoT), the task of identifying malicious linkages becomes more challenging. The identification of these hazards has significant importance for intrusion detection systems (IDS), with the use of machine learning (ML) having been a prevailing practice due to the continuous advancement of cyberattacks. In order to effectively combat such dangers, it is essential that machine learning technologies has the capability to observe a diverse range of attack patterns, hence illustrating the intricacies involved in targeting network traffic. Regrettably, a significant portion of the datasets accessible to the machine learning community lack comprehensive representation of well recognized attack patterns. This is particularly true for datasets pertaining to distributed Denial of Service (DDoS) attacks, such as ACK and PUSH-ACK floods. The objective of this project is to address the existing disparity by curating a compilation of assault approaches that are underutilized. This dataset provides IDS developers with the necessary resources to enhance their detection rates. This research work enhances the security of IoT devices against DDoS botnet assaults, hence contributing to the overall safety of the IoT ecosystem.

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An Analysis of Edge computing with Multi Access in 5-G technology

An Analysis of Edge Computing with Multi Access in 5-G Techn...

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Sitaram Gupta Sonia Department of Computer Science Engineering Vivekananda Global University Jaipur India Department of Master of Computer Application Chandigarh School of Business Jhanjeri

The demands of the rapidly expanding internet. However, since most end users have confined storage space and limiting computing power, it lately evolved into a natural issue how to execute computationally complex apps on resource-bound consumers. The emerging fifth generation (5G) corporation can benefit from Mobile Edge computing (MEC) innovation upgrade portable assets by facilitating figure concentrated applications, handling a lot of information prior to sending them to the cloud, finding distributed computing assets inside the radio access organization (RAN) close to versatile clients, and giving setting mindful administrations utilizing RAN information. In reality, the paradigm shift from 4G to 5G is accompanied by the introduction of new technical concepts. We first give a comprehensive introduction of MEC technology and some of its possible applications. The most recent research on MEC integration with upcoming technologies that will be employed in 5G and beyond is then is summarized.

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Data Analysis and Decision Support Effect of Big Data Mining in Energy internet Cyber-Physical Systems 23

Data Analysis and Decision Support Effect of Big Data Mining...

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Proceedings of the 3rd international conference on Electronic Information technology and Smart Agriculture

作者： Kangzhen Zheng Yanyan Ni Hongtao Qi Xu Tang Marketing Service Center State Grid Anhui Electric Power Co. Ltd. China

ISBN: (纸本)9798400716775

The construction of energy internet can realize the massive collection of load-side data, and the local utilization of load-side data through edge computing devices can effectively reduce the pressure of cloud computing and communication system, but the computing and solving ability of edge devices is worse than that of cloud, and too many computing tasks of edge devices may also affect the overall scheduling. Therefore, this paper combines big data mining technology to analyze the data analysis and decision support in the cyber-physical systems of energy internet, and studies the optimal scheduling method of energy internet in cloud edge environment around the multi-energy complementary process and accurate demand response of energy internet. The research results show that the energy internet information model based on information physical fusion takes into account the plug-and-play characteristics of distributed devices in the network, and at the same time reflects the multi-time scale characteristics of energy internet, taking into account the autonomy of specific devices in the network and so on. From the experimental evaluation, it can be seen that big data mining has a good effect on data analysis and decision support in energy internet cyber-physical systems.

关键词： Big Data Mining Cyberphysics Decision Support Energy internet data analysis

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A Comparison of Various Task Scheduling Algorithm Using Cloudsim

A Comparison of Various Task Scheduling Algorithm Using Clou...

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Electrical Power Engineering, Communication and computing technology(ODICON), Odisha international conference on

作者： Padmaja Patel K. Murali Gopal Nimai Charn Patel Binod Kumar Sahu Department of CSE GIET University Gunupur Department of CDS SOA Deemed to be University Bhubaneswer Department of Electrical and Electronics Engineering NIT Sikkim Sikkim India Department of Electrical Engineering Sikhsa ‘O’ Anusandhan University Bhubaneswar India

ISBN: (数字)9798350354379

ISBN: (纸本)9798350354386

The term “cloud computing” refers to a large-scale, cost-effective distributed clustered computing paradigm in which users can access virtualize, platforms, manage scalable storage,computing power, and services as needed, via the internet. Through the use of hardware, systems software, and the internet, it offers applications as a service for data centres, that offer resources as a service. The job scheduling issue is a significant and challenging task in cloud computing. The primary goal of cloud computing service providers is to figure out how to utilise resources in the cloud effectively and earn profit as much as possible. High energy consumption results in significant operational costs, which lower cloud providers' profit margins, as well as high CO 2 emissions, which are unfriendly to the environment. Therefore, to reduce the negative effects of cloud computing on the environment, energy-efficient solutions are required. Because of this, the simulation tools are essential for both evaluating the functioning of the cloud and advancing cloud computing for the advancement of greener IT. The performance of the min-min, max-min, and suffrage scheduling algorithms are examined in this article, and CloudSim is used to provide a green approach for sustainable IT development.

关键词： Cloud computing Power engineering Energy consumption Scheduling algorithms Green products Minimax techniques Air pollution Hardware Energy efficiency System software

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Performance Analysis of Task Scheduling Heuristics in Fog Environment 3rd

Performance Analysis of Task Scheduling Heuristics in Fog En...

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3rd international conference on VLSI, Communication and Signal processing, VCAS 2020

作者： Chandak, Ashish Virendra Ray, Niranjan K. Barik, Rabindra Kumar Kumar, Vinay School of Computer Engineering KIIT University Bhubaneswar India School of Computer Applications KIIT University Bhubaneswar India Department of ECE Motilal Nehru National Institute of Technology Prayagraj Allahabad India

ISBN: (纸本)9789811627606

A traditional computing system is limited in its functionality. Cloud computing provides ubiquitous access to network resources and the internet of Things (IoT) devices growing rapidly. IoT devices can't perform computation on a standalone device. Sometimes, IoT devices require quick computation and in those cases, the long latency between IoT devices and the cloud environment is not desirable. In such cases, fog computing can perform quick computation and can respond. To help the expanding number of IoT gadgets, the present paper discusses the importance of task scheduling in fog computing environment. Task scheduling is an important aspect in the fog environment and optimal task scheduling is proving to be NP-complete problem in the distributed system. In this paper, there are five heuristic calculations are actualized for task scheduling and performance analysis has been carried out based on makespan, flow-time, average execution time, and success execution rate. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fog computing

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Cloud distributed Optimal Control of ESS-PV Residential Inverters

Cloud Distributed Optimal Control of ESS-PV Residential Inve...

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Power Systems and Electrical technology (PSET), IEEE international conference on

作者： Byungchul Kim Eyad H. Abed Department of Electrical and Computer Engineering University of Maryland College Park USA

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

Perfect power flow methods can be employed to choose which inverters will supply and determine their optimal real and reactive power settings based on financial goals. Utilizing advanced semidefinite relaxation make possible to work out with lessen calculation loads. Reflecting on the complex power inculcation originated by strong robustness and the high resilience of ESS-PV inverter, the steady state voltage security area (SSVSA) for inverter is created. The voltage expedition indicator for inverter is suggested to measure the voltage security limit between the security range and operation state. The suggested scheme balances beneficially to large distribution networks.

关键词： Cloud computing Voltage measurement Simulation Energy internet Inverters Robustness Steady-state Security Energy management systems Voltage control

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A Game Theoretic Approach for Modeling Composite Network-Cloud Service

A Game Theoretic Approach for Modeling Composite Network-Clo...

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Sentiment Analysis and Deep Learning (ICSADL), international conference on

作者： J John Shiny Department of Information Technology Velammal College of Engineering and Technology Madurai India

ISBN: (数字)9798350396157

ISBN: (纸本)9798350396164

Traditional way of computing required only stand-alone systems and applications. As time passed on, the amount of computing raised such that form the distributed platform for system and applications. That paved the way for distributed computing. Nowadays we talk about grid and cloud. Cloud computing is a model of computing in which the IT resources required by the end users are provided without any disruption and they are contented. The benefit of using cloud computing is to offer requested services of customer without any delay or interruption. This could be achieved by having good network services. The network which forms the backbone of the connectivity can be virtualized so that it leads to a novel epoch of integrating cloud computing and networking resources using Service Oriented Architecture paradigm. This article describes about a review of different systems that support network virtualization. This study lists out the challenges that are faced while converging cloud and network services. This study also proposes a theoretical model which involves game theory, that helps in realizing this convergence thus laying a foundation for upcoming generation internet. The game theory involves Nash Equilibrium in finding the best Infrastructure provider and Network Service Provider. Also, the best strategy among them is found for the user. Network calculus is extended to involve cloud service along with network services that helps in evaluating the composite service's performance.

关键词： Cloud computing Sentiment analysis Computational modeling Games Standardization Hardware Calculus

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Implementing Blockchain and Smart Encryption for Immutable Purchase and Generates Digital Ownership Certificates

Implementing Blockchain and Smart Encryption for Immutable P...

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Artificial Intelligence For internet of Things (AIIoT), international conference on

作者： Arshdeep Singh Sodhi Sanjana Das Sathyapriya Loganathan Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur Chennai India

ISBN: (数字)9798350372120

ISBN: (纸本)9798350372137

Blockchain functions as a decentralized and distributed ledger technology, ensuring the secure recording and verification of transactions across a network of computers. It tackles trust, transparency, and resistance to tampering in conventional centralized systems by creating a clear and unalterable transaction record, eliminating the necessity for a central authority. Addressing trust-related challenges in transactions, Blockchain eliminates intermediaries, diminishes fraud risks through cryptographic security, and boosts transparency by establishing an immutable shared transaction history. The proposed system, built on a blockchain foundation, aims to securely and efficiently store purchase details by utilizing a duplicated and distributed digital ledger of transaction records across all participant computers in the network. Key features such as immutability, enhanced security through smart contracts and encryption, digital ownership certificates for authenticity verification, and a user-friendly search function contribute to the secure storage of purchase details. This innovative system extends the transformative impact of blockchain to the insurance industry, providing a decentralized alternative to counter centralization, inefficiency, and high costs. The result obtained enabling direct transactions between users and eliminating intermediaries, the system reduces frictional costs and enhances trust and transparency in insurance practices. This groundbreaking approach signifies a shift towards a more secure, efficient, and transparent future for both purchase record management and insurance processes, leveraging the full potential of blockchain technology.

关键词： Computers Resistance Costs Smart contracts Insurance Prototypes Blockchains

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Effective Rights Management to Ensure Seamless Connectivity for the internet of Things

Effective Rights Management to Ensure Seamless Connectivity ...

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Alok Kumar Moharana Daxa Vekariya Department of Health & Allied Science ARKA JAIN University Department of CSE PIET Parul University

In contrast to a simple connectivity of interconnected “anything,” we contend in this article that the distinguishing feature of the “Iot technology” (IoT) is the accessible of “factors” on the wider internet. We note that the majority of claimed “Iot.” apps are really “Ftp servers of Things,” which is a more appropriate description. largely as a result of reasonable worries about the stability of. The open miner of the Web for materials has evolved into the backbone of several study areas in the larger area of the Innertubes “in the vast.” We provide an example of how, throughout one experiment, the potential for exploiting IoT data in what seems like a comparable pattern has been partially confirmed on the grounds that data owners willingly made their data public. On enable for the generalized information mining that takes place on social media at broad to take place in the Iot technology, we contend that disease. two must be offered. The first is a method for classifying the data that is currently accessible, a need that has been met by organizations like HyperCAT. The option is an automated access control service (Home automation), which would control authorizations while enabling personal data to choose ahead of time toward whom they data should always be distributed, for what uses, pursuant to what restrictions, and if any payment should really be associated. We provide some specific recommendations for the shape that a Cloud computing might assume.

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Analysis of the Impact of Interaction Patterns and IoT Protocols on Energy Consumption of IoT Consumer Applications 22nd

Analysis of the Impact of Interaction Patterns and IoT Proto...

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22nd IFIP WG 6.1 international conference on distributed Applications and Interoperable Systems (DAIS) Held as Part of the 17th international Federated conference on distributed computing Techniques (DisCoTec)

作者： Canek, Rodrigo Borges, Pedro Taconet, Chantal Inst Polytech Paris SAMOVAR Telecom SudParis Paris France

ISBN: (纸本)9783031160929;9783031160912

Nowadays, it is estimated that half the connected devices are related to the internet of Things (IoT). The IoT paradigm contributes to the increase of the Information technology energy demand. The energy demand is due on one side to the huge number of IoT devices, and on the other side to the plethora of IoT end user applications consuming data produced by those devices. However, taking into account energy consumption in the development of such applications, consuming data produced by IoT devices is still challenging. There is a lack of knowledge on what are the best practises to develop green IoT applications. The work presented in this paper aims to raise the awareness of application designers concerning the impact of the choice of IoT protocols and interaction patterns on the energy consumption of the applications. For this purpose, we have experimentally analysed the energy consumption of HTTP and MQTT, which are two of the most popular, mature and stable protocols for IoT consumer applications. For the HTTP protocol, we have studied both the publish-subscribe and the request-reply interaction patterns. For MQTT, we have studied the publish-subscribe interaction pattern with the three available Quality of Services. We also examine the impact of message payload on energy consumption. The results show that the publish/subscribe interaction pattern has lower energy consumption (around 92% less) than the synchronous interaction pattern and HTTP consumes 20% more energy than the MQTT protocol for the publish/subscribe interaction pattern. Finally, we show that the payload has a low impact on energy consumption, having a 9% overhead on payloads ranging from 24 to 3120 bytes.

关键词： Energy Consumption Green IT Interaction patterns internet of Things applications IoT Platforms IoT protocols Middleware

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