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检索条件"任意字段=6th International Conference on Distributed Computing and Internet Technology"

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the Use of LDAP for Query Operation in Trader Service 6

The Use of LDAP for Query Operation in Trader Service

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6th international conference on Futuristic Trends in Networks and computing Technologies, FTNCT 2024

作者： Muchtar, Farkhana Binti Mohd Sidek, Mohd Kufaisal Bin Bin Isnin, Ismail Fauzi Degan, Kiran Sanjay Fattah, Salmah Binti Muhammad Zaly Shah, Muhammad Zafran Bin Fairos Binti Ismail, Nor Anita Binti Ali Shah, Zuraini Faculty of Computing Universiti Teknologi Malaysia Johor Johor Bahru81310 Malaysia Faculty of Computing and Informatics Universiti Malaysia Sabah Jalan UMS Sabah Kota Kinabalu88400 Malaysia Symbiosis International University India

this research investigates the potential of the Lightweight Directory Access Protocol (LDAP) to optimize query operations in the Object Management Group (OMG) trading service, emphasizing the need for swift query responses in distributed systems. By leveraging LDAP's inherent strengths in read-intensive environments, this study proposes a solution to enhance information retrieval and search efficiency. through a comparative analysis involving a trading service configured with LDAP versus one using a conventional database backend, the results highlight superior performance in query response times when utilizing LDAP. the findings underscore the efficacy of LDAP as a backend storage mechanism, particularly in scenarios demanding rapid data access, and suggest its suitability for improving the operational efficiency of trading services in distributed computing contexts. © 2025 the Author(s). Published by Elsevier B.V.

关键词： Cluster computing

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EdgeShield: Hybrid Real-Time Attack Detection in IOTA Tangle via Edge Devices 15

EdgeShield: Hybrid Real-Time Attack Detection in IOTA Tangle...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Arunodhai, V. Susan, Leena P. Kannimoola, Jinesh M. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Applications Amritapuri India

ISBN: (纸本)9798350370249

the internet of things (IoT) revolutionizes technology interaction by enabling seamless connectivity and automation, but it introduces significant security challenges. A distributed ledger technology (DLT) called IOTA Tangle, a utilizing a Directed Acyclic Graph (DAG), enables secure and feeless transactions among IoT devices. Despite its advantages, the IOTA Tangle faces threats such as replay attacks and double spending, which highlight vulnerabilities in distributed ledger technologies. To address these security concerns, we initially developed EdgeGuard, a rule-based system for spam detection within the IOTA ecosystem. However, its reliance on predetermined rulesets limited its adaptability. We have now enhanced our approach with EdgeShield, incorporating a neural network for superior threat *** enhances adaptability over EdgeGuard in threat detection for the IOTA Tangle by integrating machine learning. EdgeShield analyzes network packets to identify threats, leveraging machine learning to adapt to evolving risks. Trained using the MQTTSet dataset, it detects network-based threats such as denial-of-service (DoS) attacks and packet flooding. Tested with simulated IoT data, EdgeShield demonstrates effectiveness across various domains, particularly in healthcare IoT. Its decentralized processing on edge devices like the Raspberry Pi 4 enables immediate network traffic analysis, reducing reliance on centralized servers and improving system resilience. Additionally, real-time alerts empower administrators to proactively secure IoT deployments and maintain transaction integrity within the IOTA Tangle. this paper traces our research evolution from EdgeGuard to EdgeShield, highlighting advancements and demonstrating the enhanced security of IoT transactions on the IOTA Tangle. © 2024 IEEE.

关键词： and Decentralised Security Measures distributed Ledger Edge computing Edge Devices internet of things (IoT) IOTA Tangle Machine Learning Network Packet Analysis Real-Time Security

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Fine-grained Calculation Method of Accepting distributed Generation Capacity in Distribution Network for Virtual Power Plant 6

Fine-grained Calculation Method of Accepting Distributed Gen...

引用

6th IEEE international Electrical and Energy conference, CIEEC 2023

作者： Zhong, Yongjie Ji, Ling Jiang, Yanjun Li, Jingxia Wang, Zidong Wang, Yong Guodian Nanjing Automation Co. Ltd Nanjing211153 China

ISBN: (纸本)9798350346671

the fine-grained calculation method of accepting distributed generation capacity in distribution network for virtual power plant is proposed in this paper. Firstly, a distributed generation capacity model including photovoltaic power generation and wind power generation are established based on the collection of virtual power plant information. Secondly, distribution network power flow model on power grid side, and distributed power generation output model on power supply side including photovoltaic generation model and wind power generation model are established. thirdly, the fine-grained safe operation constraints including power supply side and power grid side are set. then, the optimal coordinated scheduling model of acceptability of new energy distributed generation with adjustable importance factor setting mode is proposed. Finally, output virtual power plant information through optimal coordinated scheduling, and reverse determine the actual photovoltaic and wind power installed capacity selection. the proposed model and method can provide theoretical guidance and reference for the fine modeling of distributed generation capacity accepted by the distribution network of virtual power plant, fine-grained computing application, actual installed capacity selection of distributed generation, multi-mode coordinated scheduling and so on. © 2023 IEEE.

关键词： Virtual Power Plants

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An Efficient DDoS Attacks Detection and Mitigation Approach in SDN-IoT Network 6

An Efficient DDoS Attacks Detection and Mitigation Approach ...

引用

6th international conference on Futuristic Trends in Networks and computing Technologies, FTNCT 2024

作者： Singh, Chandrapal Jain, Ankit Kumar Department of Computer Engineering National Institute of Technology Kurukshetra India

the internet of things (IoT) has revolutionized modern life by introducing advanced solutions and enhancing processing power. However, managing IoT networks can be challenging due to the multitude of devices and communication protocols involved. Software-Defined Networking (SDN) offers a potential solution by simplifying network management, providing network abstraction, facilitating network development, and potentially addressing the complexities of IoT networks. Despite the numerous benefits, it is important to note that IoT systems still face significant security concerns. this study uses entropy as a metric on the SDN controller in an IoT network to assess the homogeneity of network traffic. And on the SDN controller network log data is present so to filter network traffic, the technique additionally incorporates machine learning (ML) classifiers. We tested the suggested methodology's effectiveness using real-world network traffic information. SDN-IoT networks and ML are used to improve the process of detection and mitigation. the proposed method has a detection rate between 98% and 100%, demonstrating its exceptional performance. Compared to existing methods, our approach not only detects distributed Denial of Service (DDoS) attacks with remarkable accuracy, but also enables early detection while maintaining a remarkable false-positive rate. this combination of high precision and early detection enables us to effectively identify and mitigate DDoS attacks, thereby enhancing security and minimizing the potential harm caused by malicious activities. © 2025 the Author(s). Published by Elsevier B.V.

关键词： internet of things

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A Review on Smart Secure Collaborative Framework Learning for Consequent computing 14

A Review on Smart Secure Collaborative Framework Learning fo...

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14th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2023

作者： Shukla, Priti Rawat, Manoj Kumar SAGE University CSE Indore India

Blockchain technology plays supreme role in current era technology, where is uses contemporary technology and distributed system in transaction. the main Component of blockchain is crypto-currency which implement various transaction. the concept of industry 4.0 is used to convert Morden factories to work on latest technology among many technology blockchain is one of them technology which we can implement industry 4.0 to develop certainty, agreement, security and decentralization for different fields which provide a secure transaction various security aspects are design and used A blockchain is a distributed network that works as a digital ledger with the help of blockchain a Secure transaction can be performed without any third party involvement. through internet we have massive amount of digital data and information, In blockchain various consensus algorithm are used to perform task and to simplify the transaction process. Various consensus algorithms are used to provide smart transaction, security and trust in decentralized network. © Grenze Scientific Society, 2023.

关键词： Blockchain

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Intent-Driven distributed Applications Management Over Compute and Network Resources in the computing Continuum 19

Intent-Driven Distributed Applications Management Over Compu...

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19th Annual international conference on distributed computing in Smart Systems and the internet of things, DCOSS-IoT 2023

作者： Zafeiropoulos, Anastasios Fotopoulou, Eleni Vassilakis, Constantinos Tzanettis, Ioannis Lombardo, Chiara Carrega, Alesssandro Bruschi, Roberto National Technical University of Athens Institute of Communication and Computer Systems Athens Greece School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Cnit S2N National Laboratory Genoa Italy

ISBN: (纸本)9798350346497

Intent-driven orchestration enables organizations to achieve greater automation, integration, and intelligence of their compute and network resources by defining their objectives and policies in a more abstract and holistic way, while letting the orchestration system handle the coordination, optimization, and adaptation of the resources in response to changing needs and conditions. the trend for the development of intent-driven orchestration mechanisms has been growing in recent years as the deployment of distributed applications in the computing continuum has become more complex and diverse. In this manuscript we detail a novel approach for the management of distributed applications in the computing continuum. A hierarchical decision making scheme is proposed where an entity in a specific level of the hierarchy has the responsibility for the management of the overall application or a part of it, without having the control of all the management actions. the control is distributed across various entities that have to collaborate towards some joint objectives. Both compute and network resources management is considered that may be provided by the same or different infrastructure providers. © 2023 IEEE.

关键词： Decision making

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Cryptography and Adversarial Analysis for Cloud Data Security 5

Cryptography and Adversarial Analysis for Cloud Data Securit...

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5th international conference on Innovative Trends in Information technology (ICITIIT)

作者： Manjula, S. Valarmathi, K. Sudha, M. Swarna Ramco Inst Technol Dept Comp Sci & Engn Rajapalayam 626117 Tamil Nadu India PSR Engn Coll Dept Elect & Commun Engn Sivakasi 626140 Tamil Nadu India

ISBN: (纸本)9798350386813;9798350386820

Cloud computing, a novel paradigm for distributed data processing, has emerged as a transformative technology enabling the storage and retrieval of data over the internet. the prevalence of Software-as-a-Service has revolutionized work dynamics, fostering a culture of secure remote access across diverse devices. Within the realm of Cloud Storage, the imperative for effective security and privacy measures is underscored. this research proposes a robust data security framework employing the Cryptography Splitting Algorithm. User files undergo encryption, increasing security levels from 25 to 75 are securely stored with a cloud service provider. the Cloud Manager empowers users by enhancing security, managing tracking mechanisms, and safeguarding metadata, thus fortifying data confidentiality and flexibility in utilization. Leveraging the Cryptography Splitting technique ensures secure data storage, concurrently enhancing both security and privacy for user data. Furthermore, the proposed methodology undergoes rigorous scrutiny in an adversary setup, incorporating neural network analysis to evaluate the resilience of data security measures. this analysis reveals the encryption scheme protects communication by maintaining a low A-B loss around 0.1 while reducing Eve's ability to intercept messages from 0.7 to 0.2. this research contributes a comprehensive approach to securely managing data in the dynamic landscape of cloud computing.

关键词： Cloud computing AES Encryption and Decryption Algorithm Cryptography splitting and merging Technique

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Application of Cloud computing and Speech Recognition technology in University Golf Smart Guidance 6

Application of Cloud Computing and Speech Recognition Techno...

引用

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

作者： Zhu, Sanqiang Nanjing Institute of Visual Arts Jiangsu Nanjing210000 China

ISBN: (纸本)9781665410281

Golf teaching plays a key role in promoting the development of golf and promoting the development of students' physical and mental health. therefore, it is of great significance for undergraduate colleges to develop golf teaching activities, and curriculum design is an important content and necessary prerequisite for the development of golf teaching. Based on cloud computing and speech recognition, this article briefly introduces the development and curriculum design of golf teaching, and analyzes the existing problems and effective strategies of golf teaching curriculum design in current undergraduate colleges. the results show that distributed cloud computing makes golf smart the efficiency of guidance increased by 7.6%. © 2022 IEEE.

关键词： Cloud computing

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Research on Intelligent Scheduling Algorithm Based on Cloud computing 15

Research on Intelligent Scheduling Algorithm Based on Cloud ...

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15th international conference on Computer Research and Development, ICCRD 2023

作者： Yan, Xiaofeng Zhao, Jie Han, Jianchao Chongqing Medical and Pharmaceutical College Chongqing China

ISBN: (纸本)9781665487504

With the rapid development of the information age, computer technology and network technology are more and more mature, and the application of internet technology is more and more extensive. On the basis of the gradual development and maturity of distributed computing, parallel computing and grid computing, cloud computing based on big data came into being. the core idea of cloud computing is to connect a large number of computing resources, storage resources and service resources through the network to form a resource pool, and then conduct unified scheduling and management of resources according to user needs. this paper mainly studies the resource scheduling method based on neural network and genetic algorithm to dynamically provide data centric computing service system for users, and maximize the reliability, customization and security of the services provided. © 2023 IEEE.

关键词： Genetic algorithms

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Exploring Robust DDoS Detection: A Machine Learning Analysis with the CICDDoS2019 Dataset 5

Exploring Robust DDoS Detection: A Machine Learning Analysis...

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5th IEEE India Council international Subsections conference, INDISCON 2024

作者： Saluja, Kamal Bagchi, Susama Solanki, Vikas Khan, Muhammad Numan Ali Dhamija, Esha Debnath, Sanjoy Kumar Chitkara University Institite of Engineering and Technology Chitkara University Punjab India University of Technology and Applied Sciences College of Computing and Information Sciences Shinas Oman

ISBN: (纸本)9798350376753

the ever-present threat posed by distributed Denial of Service attack is highlighted. the significance of building robust cybersecurity measures that are not just inventive but also flexible. the purpose of this study paper is to investigate the effectiveness of an algorithm based on machine learning in detecting distributed denial of service assault to strengthen the resilience of internet infrastructure. Random forest, decision tree, naïve bayes, and KNN are some of the machine learning techniques that are investigated in this study. the dataset used for this investigation is the CICDDoS 2019 data, Moreover, the research broadened its approach to identify the role of Artificial Intelligence in the Cybersecurity Framework. It does this by providing insight into the relative merits of various algorithms. the study, in its essence, highlights the critical role that adaptive and intelligent defense systems play in decreasing the impact of distributed denial of service assaults (DDoS). this provides a foundation for prepared strategies in the constantly shifting world of cybersecurity. © 2024 IEEE.

关键词： Cybersecurity

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