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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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Enhancing IoT Security through IOTA-Based Identity Management and Machine Learning 6th

Enhancing IoT Security Through IOTA-Based Identity Managemen...

引用

6th international Congress on Blockchain and Applications, BLOCKCHAIN 2024

作者： Alsolami, Reem Mostafa Monowar, Muhammad Attiah, Afraa Cherif, Asma Department of Information Technology Faculty of Computing and Information Technology King Abdulaziz University Jeddah21589 Saudi Arabia Center of Excellence in Smart Environment Research King Abdulaziz University Jeddah21589 Saudi Arabia

ISBN: (纸本)9783031819278

the internet of things (IoT) is a vast network of diverse devices that has expanded into various aspects of our daily lives. However, its growth comes with increased security challenges, particularly in developing efficient identity management systems. General-purpose identity management solutions are impractical due to IoT limitations related to centralized architecture, resource constraints, and impersonation susceptibility. these limitations raise the need for an IoT-specific identity management scheme. Research has shown excellent efforts employing distributed Ledger Technologies (DLT), Fog computing, and Machine Learning techniques. Blockchain, as a type of DLT, has taken a vast interest in current IoT security research. However, while it mitigates the centralization issue in IoT, it has multiple limitations. As an alternative, IOTA is proposed as an IoT-specific DLT to overcome these challenges. In this work, we propose a conceptual framework for an identity management scheme that utilizes IOTA technology for the secure, distributed storage of IoT device identities. Alongside IOTA, we integrate Fog computing to mitigate the resource limitations in IoT devices and employ Machine Learning to provide continuous authentication on connected IoT devices. through this scheme, we aim to achieve decentralization, scalability, efficiency, and security of the IoT. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： distributed ledger

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A Risk Assessment Study: Encircling Docker Container Assets on IaaS Cloud computing Topology 6

A Risk Assessment Study: Encircling Docker Container Assets ...

引用

6th conference on Cloud and internet of things (CIoT)

作者： Hersyah, Mohammad Hafiz Hossain, Md Delwar Taenaka, Yuzo Kadobayashi, Youki Nara Inst Sci & Technol Div Informat Sci Nara Japan

ISBN: (纸本)9798350396690

the articulate utilization of docker container assets in Cloud computing is one strategic pivotal aspect of the underlying rationale for customers to conjecture on their ventures. It can be standardized under the organization's viewpoints toward its purposes and objectives, given the facilities provided by a cloud service provider. IaaS (Infrastructure-as-a-Service) topology offers many opportunities, including serverless capability in a docker container through software abstraction, and magnifying customization. Techniques such as intensifying the quality of streamlined services, and uplifts productivity, become sufficient evidence of underlying equal responsibilities between provider and customer, which need to be evaluated its risks periodically to improve the resilience of containerized objects. this study contributes alternate insight concerning risk assessment methodology in a docker container environment to mitigate the risk rating and propose risk treatment recommendations for cloud providers and customers. To grasp unified security perception in analyzing assets, threats, and vulnerabilities, harnessing several methods and international standards such as the Analytical Hierarchy process, Partial Dependency, ISO 27K Family, MITRE ATT&CK, EBIOS Risk Manager, and NIST 800-30. the experiment uses a real-world threat group from MITRE ATT&CK called TeamTNT.

关键词： Risk Assessment docker container Cloud computing Infrastructure-as-a-Service

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BESTDiNER: Blockchain-Enabled System for Tackling distributed Networking and Extracting Rainbow-tables 6

BESTDiNER: Blockchain-Enabled System for Tackling Distribute...

引用

6th international conference on Blockchain computing and Applications, BCCA 2024

作者： Tokunaga, Junpei Ebara, Hiroyuki Kansai University Osaka Japan

ISBN: (纸本)9798350351538

Proof-of-Work (PoW) quickly became one of the most well-known algorithms as the consensus-building method powering the blockchain. However, consensus-building algorithms based on PoW have the issue of wasting a substantial amount of power on hash computation. Many algorithms proposed as alternatives to PoW aim to improve power efficiency, addressing the key issue with PoW. the proposed method, BESTDiNER (Blockchain-Enabled System for Tackling distributed Networking and Extracting Rainbow-tables), creates a rainbow table instead of relying on conventional blockchain’s repeated hash calculations. Rainbow tables and Bitcoin share the characteristic of repeated hash calculations in a brute-force manner. Leveraging this feature, BESTDiNER modifies the original Bitcoin protocol so that mining results in the creation of a rainbow-table. the BESTDiNER protocol use two types of parameters for mining difficulty adjustment. Adjustable parameters are traditional bitcoin-style difficulty adjustment method and width of rainbow table. Experiments using real computers were conducted to estimate computation time based on the number of hash calculations. Additional approximate were also conducted using parameters obtained from the real-computer experiments. the results of the two-stage experiment analyze the characteristics of rainbow-table creation through mining. © 2024 IEEE.

关键词： Blockchain

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Practical research of IoT technology in the safety management of special equipment 6

Practical research of IoT technology in the safety managemen...

引用

6th international conference on Intelligent computing, Communication, and Devices, ICCD 2023

作者： Li, Zerang China University of Geosciences Wuhan China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

Special equipment safety is an important part of the public safety system, which is related to the healthy development of the economy and society and the well-being of people's lives. In recent years, with the rapid growth in the type and number of special equipment, special equipment safety management faces new situations and problems, the traditional inspection and testing model is facing a bottleneck in development, and the internet of things technology applied to the inspection and testing system of special equipment, to enhance the level of safety management of equipment has an important role. this paper is based on the current situation of special equipment safety and inspection, the application of internet of things technology in the special equipment inspection and testing system to study, in order to enhance the level of special equipment inspection and testing technology, to promote the safety management of special equipment to provide a reference. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： internet of things

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Decentralized Energy Using IoT and Cloud computing for Enhancing Grid Resilience through Microgrid Integration 6

Decentralized Energy Using IoT and Cloud Computing for Enhan...

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6th international conference on Energy, Power and Environment, ICEPE 2024

作者： Solainayagi, P. Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350379297

Climate change, cyberattacks, and renewable energy integration threaten the contemporary electrical system. this paper proposes integrating decentralized energy production, the internet of things (IoT), microgrids, and cloud computing to improve grid resilience. Solar panels, wind turbines, and small power plants can reduce the grid's need for centralized electricity. Microgrids may function independently or alongside the main grid during outages or crises. the IoT allows real-time energy asset and grid infrastructure monitoring, control, and optimization. IoT sensors, smart meters, and actuators gather and analyze data for proactive maintenance, problem detection, and load control. Cloud computing powers this resilient grid ecosystem with scalable, cost-effective data storage, processing, and analytics. Cloud solutions enable predictive maintenance, demand response, and grid optimization by processing massive volumes of IoT data. Using decentralized energy production, IoT, and cloud computing, grid operators may improve resilience. First, they identify and react to grid abnormalities in real time, limiting downtime and cascading failures. Second, they may optimize energy output and reduce carbon emissions by integrating renewable energy sources better. third, sophisticated cybersecurity and predictive threat analysis may improve grid security. © 2024 IEEE.

关键词： Windmill

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A Visualization Platform for the Influence of the internet and Big Data on Social Governance Research and Practice

A Visualization Platform for the Influence of the Internet a...

引用

6th international conference on Intelligent computing and Control Systems, ICICCS 2022

作者： Gao, Feng Hubei University of Police Department of Investigation Wuhan 430034 China

ISBN: (纸本)9781665410359

this article studies the influence of the internet and big data on social governance research and practice. With the continuous development and application of big data technology, big data can also be developed and utilized as an important starting point for modern social governance. the article discusses the characteristics and impact of the big data era and its role in modern social governance, and then designs the visualization platform from the aspects of social research methods, social governance thinking, social ecological changes, and social governance models. © 2022 IEEE.

关键词： Big data

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Factors affecting college students' deep learning in the internet environment: an empirical study 6

Factors affecting college students' deep learning in the int...

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6th international conference on Intelligent computing, Communication, and Devices, ICCD 2023

作者： Bo, Xiao Guangdong University of Science and Technology Guangdong Dongguan523330 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

At present, internet technology is profoundly affecting various domestic industries, not only promoting industry innovation, but also changing various fields of economy and society. Educational services are no exception. they have also been influenced by internet technology, and a new talent training model has been built on this basis. However, the current students' learning is still at a superficial stage, and their cognition is difficult to apply to practical problems, because a large amount of knowledge in the internet environment is fragmented. therefore, cultivating students' in-depth learning abilities, such as in-depth understanding of complex concepts, processing knowledge information, and constructing cognitive systems, is the real purpose of internet + education. this paper will build a factor model that affects students' deep learning based on the collected information, and focus on solving the practical problems encountered by students in their learning as the main research direction, and explore the influencing factors of college students' deep learning in the internet + environment. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Students

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Emerging Technologies for V2X Communication and Vehicular Edge computing in the 6G era: Challenges and Opportunities for Sustainable IoV 19

Emerging Technologies for V2X Communication and Vehicular Ed...

引用

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

作者： Georgiades, Michael Poullas, Marios S. Neapolis University of Pafos ISLab Department of Computer Science Pafos Cyprus Imperial College London Department of Mathematics London United Kingdom University College London Cell and Developmental Biology London United Kingdom

ISBN: (纸本)9798350346497

this paper presents a comprehensive review of emerging technologies in V2X communication and Vehicular Edge computing (VEC) for sustainable internet of Vehicles (IoV) in the 6G era. the paper employs the PRISMA method to systematically identify, screen, select, synthesize, and report relevant literature. the objective is to identify and discuss key technologies, assess challenges and opportunities, analyze potential impacts on energy efficiency and environmental sustainability, and provide recommendations for future research directions. Challenges analysed include both technical and non-technical challenges and oppportunities include both societal benefits as well as industry opportunities. Finally and based on these findings, future research directions are proposed for striving towards sustainable IoV. © 2023 IEEE.

关键词： Edge computing

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Scenario-based synthetic traffic generation for web applications using workload patterns 24

Scenario-based synthetic traffic generation for web applicat...

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6th Asia Pacific Information technology conference (APIT)

作者： Khurram, Sana Sabau, Alex R. Lichter, Horst Tanachutiwat, Sansiri King Mongkuts Univ Technol North Bangkok Sirindhorn Int Thai German Grad Sch Engn Bangkok Thailand Rhein Westfal TH Aachen Res Grp Software Construct Aachen Germany

ISBN: (纸本)9798400716218

Due to the growing number of internet users, Web applications face increasing challenges in providing constant availability, resilience to software failures, and rapid responses to user requests. therefore, performance testing of web applications and monitoring them during high traffic are essential activities to evaluate the behavior of a system and ensure user satisfaction even during periods of high demand. However, the effectiveness of performance tests depends on the modeled user behavior in the tests. the closer the scenarios modeled in performance tests correspond to actual user behavior, the more valuable are the insights into the quality of the system that result from the performance tests performed. this paper presents a novel approach to traffic generation that leverages the concepts of workload patterns from cloud computing to model different scenarios of user interaction with a web application. the traffic generation can be used to test the performance and observe the behavior of web applications under real conditions of specific user interaction scenarios. the concepts are demonstrated in a proof-of-concept implementation and evaluated in a case study. the results of the case study show that the concepts do work as intended and the generated traffic follows the selected workload pattern. As a result, the resource usage of the case study system behaves differently in each scenario of user interaction with the web application.

关键词： Traffic Generation Web Applications Performance Testing Load Testing Software Quality Assurance

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Multi-authority Attribute Encryption Scheme based on Cloud computing Verifiable Outsourcing Decryption 6

Multi-authority Attribute Encryption Scheme based on Cloud C...

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6th international conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2024

作者： Mao, Jingyu Lanzhou Vocational Technical College Lanzhou China

ISBN: (纸本)9781837242672

With the advancement of mobile device technology, network communication has become more common and convenient. However, due to the limitations of mobile terminals in terms of processing power and storage space, the performance is significantly limited, especially when performing complex computing tasks. Cloud computing technology allows users to access the required computing power through the internet by integrating a large number of computing resources. Security issues in this field, especially on access control, have become the focus of public and expert attention. Aiming at the verification requirements in the process of data outsourcing decryption, this paper designs a new multi-authorization attribute encryption scheme that supports outsourcing decryption verification. In the encryption phase, pre-encryption is performed using an offline device, significantly reducing the time required for online encryption. In the decryption phase, complex computing tasks are delegated to a cloud service provider, and a verifiable outsourced decryption method is employed to unravel the ciphertext. Compared with other encryption schemes, this scheme can reduce the computing burden of users, speed up the decryption speed through verifiable outsourcing decryption, and ensure the accuracy of cloud server decryption. © the Institution of Engineering & technology 2024.

关键词： Multi-Authorization Online/Offline Encryption Outsourced Decryption Verifiable

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