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An Analysis of Edge computing with Multi Access in 5-G technology 3

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

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3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

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

ISBN: (纸本)9798350399264

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. © 2023 IEEE.

关键词： Mobile edge computing

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Improving LoRa Low-Power Wide-Area Networks with Double Deep-Q Learning-Based Resource Allocation 3

Improving LoRa Low-Power Wide-Area Networks with Double Deep...

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3rd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Madhavan, Sowmya Al-Fatlawy, Ramy Riad Irfan, Md. Mujahid Neeraj, Kumar Dineshkumar, R. Nitte Meenakshi Institute Of Technology Dept.of Ece Bengaluru India College Of Technical Engineering The Islamic University Department Of Computers Techniques Engineering Najaf Iraq Sr University Department Of Electrical And Electronics Engineering Warangal India Anurag University Ece Department Hyderabad India Saveetha School Of Engineering Saveetha Institute Of Medical And Technical Sciences Saveetha University Department Of Electronics And Communication Engineering Chennai India

ISBN: (纸本)9798350318609

The internet of Things (IoT) has the potential to revolutionize the way we work by incorporating essential end devices (ED) into connected all smart devices. Low-power wide-area networks (LPWANs) determine the maximum number of end devices (EDs) supported by the network and distribute data through these EDs. However, the delay and action of space are inefficient. However, implementing and training a Double Deep Q Learning (DDQL) network can be computationally intensive and involve a significant amount of data transmission, posing a risk to network security. While DDQL can optimize resource allocation based on the network, the proposed technique is essential for significantly improving actions and reducing the risk of transmitted data in LoRaWAN. It supports EDs while ensuring lower power consumption, thereby increasing network capacity. Although the proposed DDQL technique exhibits high performance compared to existing methods such as Hybrid Adaptive Data Rate (HADR), Low-Power Multi-Armed Bandit (LP-MAB) and non-destructive adaptive data rate (ND-ADR, it achieves outstanding results. The outcomes include an Energy Consumption of 0.02J, Packet Delivery Ratio (PDR) of 0.56 and a Packet Loss Ratio (PLR) of 0.72, surpassing existing methods in the context of IoT. © 2024 IEEE.

关键词： internet of things

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distributed Denial of Services (DDoS) Botnet Attack Prevention in internet of Things (IoT) Devices Using AI 3

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

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3rd international conference on Smart Generation computing, Communication and Networking, SMART GENCON 2023

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

ISBN: (纸本)9798350319125

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. © 2023 IEEE.

关键词： ACK and PUSH-ACK Botnet Atack distributed Denial of Services (DDoS) internet of Things (IoT) Intrusion Detection System Machine Learning

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An Intensive Technical Analysis of Home Automation using IOT with Node MCU 3

An Intensive Technical Analysis of Home Automation using IOT...

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3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Singh, Aman Kumar Chaudhary, Aditya Verma, Abhishek Alwan, Adil Abbas Allwi Ftaiet, Adnan Mohammed, Aymen Galgotia College of Engineering and Technology India National University of Science and Technology Collage of Engineering Dhi Qar Iraq Al-Farahidi University Medical Laboratory Techniques Department Baghdad Iraq

ISBN: (纸本)9798350399264

Home automation has become an ever-increasing number of well-known lately. It targets assisting individuals with dealing with home appliances openly and constructing an autonomous climate in the home. The internet of Things (IoT) with remote control is an innovation that computerized basic home administrations and choices overall over the Web utilizing PCs or cell phones. Associating home apparatus electrical gadgets with the web or distributed storage can bring about home automation. The internet of Things (IoT) is an augmentation of the webserver to give correspondence, association, and inter' networking between different gadgets or physical objects also known as "Things''. Node-MCU is the most important component of this system and it can proceed as a miniature web server it goes probably as a mark of cooperation for the extensive variety of hardware modules. To control lights, fans, and other home machines which are associated with the handoff framework, the framework offers exchanging functionalities. This task expects to carry out a voice control home computerization framework utilizing a framework that is executed utilizing common domestic devices. © 2023 IEEE.

关键词： internet of things

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Enhanced Alert Generation System with Attacker IP for DoS Attacks 3

Enhanced Alert Generation System with Attacker IP for DoS At...

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3rd international conference on Automation, computing and Renewable Systems, ICACRS 2024

作者： Tamilkodi, R. Rani, P. Saroja Deepthi, L. Ganga Jagannadh, M. Puri Kumar, K. Venkata Pavan Teja, T. Ravi Godavari Global University A.P Rajahmundry India Godavari Institute of Engineering & Technology A.P Rajahmundry India Godavari Institute of Engineering &Technology A.P Rajahmundry India

ISBN: (纸本)9798331532420

The denial of service (DoS) attack carries a significant risk to network security as they can cause major disruptions and financial losses by flooding a network with excessive data. Different approaches can be utilized to carry out these attacks from basic flooding to more complex, distributed methods, and they can target multiple network layers, taking advantage of vulnerabilities to maximize damage. Complex attacks may be difficult for standard detection techniques, which depend on fixed limits, to identify since attackers frequently alter how they overcome fixed defences. Additionally, these techniques may produce false positives, which would result in useless alerts and resource usage. To overcome these obstacles, we have created an improved DoS detection system that uses Pyshark for in-depth packet analysis to keep track of network traffic in real-time. To provide essential data for an immediate reaction, the system observes the attacker's IP address and dynamically modifies its thresholds in response to traffic patterns. Real-time notifications via email containing the attacker's IP address and packet count are provided in the context of a threat detection, allowing for immediate reaction. This method strengthens network security by providing a more effective and rapid protection responses to attacks known as denial-of-service (DoS). © 2024 IEEE.

关键词： internet protocols

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Research on Service Scanning Supervision technology Based on Improved Association Algorithm 3

Research on Service Scanning Supervision Technology Based on...

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3rd IEEE international conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024

作者： Shang, Qingqing Liu, Chao Li, Jiwei Ren, Liwei Zhang, Xinyi Jia, Zhen Jiang, Yuchen Liu, Haitao State Grid Information & Telecommunication Branch Beijing China State Grid Zhejiang Electric Power Co. Ltd. Lishui Power Supply Company Zhejiang Lishui China

ISBN: (纸本)9798350380989

The scale of data in the internet environment is becoming increasingly large and complex. Its heterogeneous, dynamic and distributed information characteristics have caused the existing business scanning and monitoring models to be unable to meet its application needs. This project proposes an improved iterative algorithm based on multiple servers. By introducing the idea of local operation of memory nodes, a service scanning and monitoring model that can support concurrency is constructed. A cluster analysis method based on genetic algorithm based on cluster analysis is proposed. It is then synthesized to correlate the largest set of recurring items to achieve data association, extend the iterative service scanning supervision algorithm, and obtain user-interested implicit patterns from server logs. At the same time, personalized service purposes are achieved by recommending implicit interest collections to users. Simulation results show that this method can effectively improve the performance of business search monitoring, and has the characteristics of enhancement as the data size increases. © 2024 IEEE.

关键词： iterative algorithm local computing parallel algorithm Web data association

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High Capacity Multiresonant Chipless RFID Sensor Tag For IoT Applications 3

High Capacity Multiresonant Chipless RFID Sensor Tag For IoT...

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3rd international conference on Communication, computing and Digital Systems, C-CODE 2023

作者： Jabeen, Iqra Amin, Yasar Tenhunen, Hannu University of Engg and Technology Dept.of Telecommunication Engg Taxila Pakistan University of Turku Dept.of Information Technology Turku Finland

ISBN: (纸本)9798350332391

A novel, high-density, miniature and compact chip- less RFID sensor tag is presented in this article. The proposed work comprises fourteen nested quatrefoil-shaped slot resonators for ID coding with the additional feature of printability and sensitivity. The geometrical configuration consists of several quatrefoil slots of various sizes distributed in a concentric *** unique feature of the presented tag is exhibiting a humidity sensing feature with the deployment of silver nano-ink particle as a radiator by keeping the high code density of 21.8 bits/cm2 in comparison with existing reported works. A bit coding sequence is observed in the frequency spectra from 5 GHz-24 GHz while maintaining a compact size of 8 mm× 8 mm. Further, the performance of the proposed tag is evaluated for numerous substrates, including Rogers RT/Duroid/5880, Taconic (TLX-8), F4BM and Kapton HN, allowing it to be employed in a variety of environments. Additionally, the realized tag structure possesses angular stability at various polarization angles up to 900. This particular tag is deemed to be a suitable choice for future product identification and internet of Things (IoT) systems. © 2023 IEEE.

关键词： internet of things

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A Comparative Study on Cloud and Edgeb computing: A Survey on Current Research Activities and Applications 3

A Comparative Study on Cloud and Edgeb Computing: A Survey o...

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3rd IEEE international Maghreb Meeting of the conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2023

作者： Barakat, Mohammed Saeed, Rashid A. Edam, Salaheldin School of Electronics Engineering Khartoum Sudan Department of Computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif21944 Saudi Arabia

ISBN: (纸本)9798350319897

Cloud computing and edge computing are distinct architectures that process data. Cloud computing is a centralized model of computing where data is stored and processed in a remote server, while edge computing is a distributed model of computing where data is stored and processed at the network's edge. Both models have advantages and disadvantages, making them suitable for different types of applications. This article comprehensively reviews cloud and edge computing technologies, their differences, and their applications. Cloud computing has become a popular technology for storing and processing large amounts of data, while edge computing is gaining popularity due to its ability to process data closer to the source. The article discusses the advantages and disadvantages of both technologies and their potential applications in various industries, such as healthcare, transportation, and manufacturing. The article also highlights some challenges associated with implementing these technologies, including security concerns and the need for reliable connectivity. Overall, this review provides valuable insights into the current state of cloud and edge computing technologies and their potential impact on various industries. Additionally, this article will explore the potential benefits of combining both technologies for various applications © 2023 IEEE.

关键词： internet of things

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QOS Performance Analysis of DDOS Attack on IoT-Based MANET 1

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3rd international conference on Smart computing and Cyber Security—Strategic Foresight, Security Challenges and Innovation, SMARTCYBER 2023

作者： Sharma, Rohit Arya, Rajeev Wireless Sensor Networks Lab Department of Electronics and Communication Engineering National Institute of Technology Patna Bihar800005 India

ISBN: (数字)9789819705733

ISBN: (纸本)9789819705726

The internet of Things (IoT) is a growing technology that allows data to be exchanged with other devices over the internet or via wireless networks. Cyber-attacks may cause malicious intrusions into IoT systems due to changes and developments in the IoT environment. A growing challenge IoT networks must address is distributed denial-of-service (DDoS) attacks. In IoT applications, DDoS attacks take advantage of the limited resources available in IoT devices, including storage limitations and network capacity. An AODV routing protocol with a DDOS attack is evaluated in this research paper in IOT-based Mobile ad-hoc networks. A simulation was conducted using network simulator 3 (NS3), and the results reveal that packet delivery ratios decrease with increased data transmission delay. DDOS Bot nodes decrease IOT-MANET’s performance significantly by increasing average packet loss, average bandwidth requirements, and average throughput loss. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： internet of things

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The Model of Distance Learning Resource Library for Literature Teaching Based on Cloud computing 3rd

The Model of Distance Learning Resource Library for Literatu...

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3rd EAI international conference on Application of Big Data, Blockchain, and internet of Things for Education Informatization, BigIoT-EDU 2023

作者： Zhang, Wentong Ding, Miao Lijiang Culture and Tourism College Yunnan674199 China Yunnan College of Business Management Yunnan650106 China

ISBN: (纸本)9783031631382

With the continuous development and maturity of internet technology, many traditional industries are gradually being influenced or even subverted by the internet. As a traditional humanities, literature teaching has also begun to try to complete the modernization transformation with the help of cloud computing technology. The remote literature teaching resource library model based on cloud computing was born for this purpose. This model utilizes cloud computing technology to centrally store literature teaching resources distributed in different locations in the cloud, achieving resource sharing and disclosure. At the same time, the advantages of cloud technology also allow students to access these resources anytime and anywhere through the network, without being limited by time and space. Teachers can also upload and manage courseware in the cloud, achieving real-time updates and maintenance of classroom information. The emergence of a cloud computing based remote literature teaching resource library model has provided new ideas and approaches for the modernization transformation of literature education. It fully leverages the advantages of cloud computing technology, freeing students and teachers from traditional time and space constraints, and promoting the improvement of the quality and efficiency of literature teaching. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Cloud computing

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