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检索条件"任意字段=Proceedings of the 15th International Conference on Distributed Computing Systems"

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Blockchain-Assisted Trust Management in Vehicular Ad-Hoc Network 15

Blockchain-Assisted Trust Management in Vehicular Ad-Hoc Net...

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

作者： Banerjee, Suman Kuila, Pratyay Naik, Banavath Balaji National Institute of Technology Department of Computer Science and Engineering Sikkim737139 India National Institute of Technology Department of Computer Science and Engineering Patna800005 India

ISBN: (纸本)9798350370249

Vehicle-to-everything (V2X) communication is crucial in Intelligent Transportation systems (ITSs) for enhancing road safety, traffic efficiency, and convenience. To address the need for trust in V2X communications, a trust management system for Vehicular Ad Hoc Networks (VANETs) using blockchain technology has been proposed. this system calculates dynamic trust scores for vehicles based on direct communication, recommendations from other vehicles, and proximity to roadside units (RSUs). the trust scores are stored in a transparent and tamperproof blockchain, ensuring the immutability and transparency of trust scores. Simulations demonstrate that this blockchain-based trust management system significantly improves the security and reliability of V2X communications. this system is essential for the widespread acceptance of VANETs by fostering a trusted communication environment. © 2024 IEEE.

关键词： and Edge computing Blockchain Trust V2X VANET

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Smart Annotation And Anonymizer 15

Smart Annotation And Anonymizer

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

作者： Reddy, Durga Divya Vishwas, H.N. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of computer science and Engineering Bangalore India

ISBN: (纸本)9798350370249

this paper introduces the Smart Annotation and Anonymization tool, a sophisticated software application developed using PyQT5, aimed at optimizing object detection and recognition processes. the tool seamlessly integrates manual and automated annotation, anonymization, and segmentation techniques for both images and videos. By harnessing advanced deep learning algorithms, the Smart Annotation feature enables users to label images and videos manually or automatically, streamlining the creation of precise datasets for object detection and recognition tasks. the paper emphasizes the tool's prowess in automatically recognizing and tagging objects in images and videos, presenting a significant time-saving advantage. the Anonymizer feature addresses privacy concerns by automatically blurring or obscuring faces and other identifying features in images and videos. this functionality is crucial for upholding the privacy of individuals captured by sensors or cameras, especially in applications such as Automatic Driver Assistance systems (ADAS). Furthermore, the paper underscores the inclusion of Instance and Panoptic Segmentation, dividing pixels in images into regions or contours and assigning a class to each, thereby enhancing object detection and recognition. © 2024 IEEE.

关键词： Anonymity

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TNIC: A Trusted NIC Architecture A hardware-network substrate for building high-performance trustworthy distributed systems 25

TNIC: A Trusted NIC Architecture A hardware-network substrat...

引用

30th international conference on Architectural Support for Programming Languages and Operating systems-ASPLOS

作者： Giantsidi, Dimitra Pritzi, Julian Gust, Felix Katsarakis, Antonios Koshiba, Atsushi Bhatotia, Pramod Univ Edinburgh Edinburgh Midlothian Scotland Tech Univ Munich Munich Germany Huawei Res Edinburgh Midlothian Scotland

ISBN: (纸本)9798400710797

We introduce TNIC, a trusted NIC architecture for building trustworthy distributed systems deployed in heterogeneous, untrusted (Byzantine) cloud environments. TNIC builds a minimal, formally verified, silicon root-of-trust at the network interface level. We strive for three primary design goals: (1) a host CPU-agnostic unified security architecture by providing trustworthy network-level isolation;(2) a minimalistic and verifiable TCB based on a silicon root-of-trust by providing two core properties of transferable authentication and non-equivocation;and (3) a hardware-accelerated trustworthy network stack leveraging SmartNICs. Based on the TNIC architecture and associated network stack, we present a generic set of programming APIs and a recipe for building high-performance, trustworthy, distributed systems for Byzantine settings. We formally verify the safety and security properties of our TNIC while demonstrating its use by building four trustworthy distributed systems. Our evaluation of TNIC shows up to 6x performance improvement compared to CPU-centric TEE systems.

关键词： trusted computing hardware-software co-design

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Evaluation of Cloud Continuum computing Resources: A Mathematical Programming Approach 15

Evaluation of Cloud Continuum Computing Resources: A Mathema...

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15th international conference on Information, Intelligence, systems and Applications, IISA 2024

作者： Koronakos, Gregory Apostolou, Dimitris Verginadis, Yiannis Tsagkaropoulos, Andreas Patiniotakis, Ioannis Mentzas, Gregoris Institute of Communications and Computer Systems Greece University of Piraeus Greece Athens University of Economics and Business Greece

ISBN: (纸本)9798350368833

the proliferation of Internet of things (IoT) and advancements in cloud and fog computing have catalyzed the development of the Cloud Continuum, an enhanced cloud system integrating diverse computational resources and services. this paper introduces the Cloud Fog Service Broker (CFSB) designed to facilitate the evaluation and selection of these resources within the cloud continuum ecosystem. the CFSB employs Multiple-Criteria Decision Making (MCDM) methods that rely on Mathematical Programming to assess resources based on multiple factors. this integration allows for a comprehensive assessment, ranking resources by synthesizing these diverse criteria and incorporating user preferences through weight restrictions in optimization models. the architecture, criteria, evaluation process and an illustrative example of the CFSB's application highlight its role in decision-making for cloud resource selection. © 2024 IEEE.

关键词： Cloud platforms

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Policy-Based Task Allocation at Runtime for a Self-Adaptive Edge computing Infrastructure 15

Policy-Based Task Allocation at Runtime for a Self-Adaptive ...

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IEEE 15th international Symposium on Autonomous Decentralized systems (ISADS)

作者： Betancourt, Victor Pazmino Kirschner, Maximilian Kreutzer, Marius Becker, Juergen FZI Res Ctr Informat Technol Karlsruhe Germany

ISBN: (纸本)9781665464512

Autonomous and distributed Industrial Internet of things (IIoT) systems are increasingly developed and deployed. they have an enormous demand for resilience and availability. At the same time, they are in a constantly changing system environment. the underlying edge computing infrastructure is characterized by ever increasing processing power and connectivity as well as a high degree of decentralization. To reduce downtime and long redesign loops, self-adaptation capabilities are needed. Automatic reallocation of the executed tasks to the compute nodes is a possible self-adaptation measure. However, the reallocation should be compliant with the different demands, constraints and specifications of the design. At the same time, a major challenge is that the allocation decision should be fast enough to be calculated at runtime. this paper therefore proposes an allocation method that uses demands in the form of policies to compute automatic reallocation at runtime. the integration of the allocation method into runtime is enabled by combining constraint programming, step-wise multi-criteria solution approaches, and resource management at multiple levels. the policy-based allocation method is tested and evaluated in the context of a smart factory site for the function offloading of automated guided vehicles (AGVs) and driverless micromobiles. Our results show that the allocation method is capable of recalculating the allocation during runtime in milliseconds while maintaining design conformity. this enables the system to react to changes in the environment, thereby reducing the downtime of decentralized Industrial Internet of things systems and increasing availability.

关键词： Edge computing Task Allocation Self-Adaptive systems distributed systems Industrial Internet of things

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Wireless Network distributed and Cooperative Media Algorithms with QoS Awareness 15

Wireless Network Distributed and Cooperative Media Algorithm...

引用

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

作者： Ranganathaswamy, M.K. Amin, Rahul Dheer, Meenakshi Department of Mechanical Engineering School of Engineering and Technology JAIN Karnataka Bangalore India Department of Journalisim & Mass Communication ARKA JAIN University Jharkhand Jamshedpur India Department of Agriculture Vivekananda Global University Jaipur India

ISBN: (纸本)9798350370249

—QoS-conscious dispensed and cooperative media algorithms for Wi-Fi networks leverage the particular features of a wireless communications platform to allow the transmission of digital media with the progressed pleasant of a carrier (quality of service). the disbursed nature of those algorithms allows the improved quality of service aid by permitting the distribution of media assets throughout a couple of nodes in a Wi-Fi network cooperatively. through the sensor-based Wi-Fi community, statistics may be used to tell aid allocation decisions, taking into consideration an optimized utilization of media resources. Allotted media algorithms also permit advanced media shipping strategies inclusive of multiple descriptions coding (MDC) and network coding (NC), supplying advanced video streaming, voice, and other media applications under numerous network conditions. the disbursed, cooperative media algorithms can further be greater with quality of service awareness, leveraging community facts and temporal statistics to successfully allocate media resources to enable progressed quality of service performance. By leveraging the unique capabilities of wireless networks, an advanced QoS-conscious distributed and cooperative media gadget may be constructed to meet the needs of modern-day rising media applications. ©2024 IEEE.

关键词： Wi-Fi

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distributed Yang Model Dependency Installation Solution 15

Distributed Yang Model Dependency Installation Solution

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

作者： Bipin, B. Nokia Networks Cns Ece Solutions Bangalore India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370249

Sysrepo is a YANG(Yet another next Generation)-based configuration and operational state data store for Unix/Linux based applications. Applications will be able to use sysrepo to store their configurations, provided by YANG model. Instead of using normal configuration files, sysrepo will ensure data consistency of the data stored in the datastore and enforce data constraints defined by YANG model. YANG is a data modeling language for the definition of data sent over network management protocols such as the NETCONF and RESTCONF. While installing the YANG models into sysrepo, each YANG model follows a set of preconditions. these preconditions can be like, before installing a YANG model a set of specific yangs has to be there in the system. these dependent YANG models can be the ones which users manually have to install or sometimes it could be the ones which are system defined. While installing these, if the dependent ones are not present in sysrepo, then installation process fails. Here in this paper, a new approach is proposed where in the dependent YANG models will be ordered properly and parallel installation will be done which will fasten up the sysrepo and netopeer processes to startup. © 2024 IEEE.

关键词： Protocols Computational modeling Logic gates Data models Next generation networking

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Five-layer IoT and Fog computing Framework Towards Digital Twinning of Battery Management systems for e-Transportation 4

Five-layer IoT and Fog Computing Framework Towards Digital T...

引用

4th international conference on Smart Grid and Renewable Energy, SGRE 2024

作者： Karnehm, Dominic Samanta, Akash Neve, Antje Williamson, Sheldon University of the Bundeswehr Munich Institute of Intelligent Distributed Systems Neubiberg Germany Ontario Tech University Electrical Computer and Software Engineering Oshawa Canada

ISBN: (纸本)9798350306262

It is needless to mention that the proven capability of cloud computing and digital twin-based monitoring and control systems will play a major role in the implementation of digital twin-based lithium-ion battery management systems (BMS) for e-transportation. In this context, the combination of the Internet of things (IoT) and fog computing emerges as an enabling technology that facilitates bidirectional data communication and processing. this paper proposes a five-layer IoT framework for the implementation of cloud-based battery monitoring and BMS. Additionally, it critically analyzes the existing IoT frameworks applied to BMS and justifies the suitability of the five-layer architecture. Furthermore, the advantages of fog computing, such as low latency, fault tolerance, limitless systems, multiple applications, and shared responsibility, are discussed. the paper also explores four previously proposed computing-enabled architectures: centralized, hybrid, distributed, and hybrid-distributed computing. Moreover, the potential of utilizing hybrid computing architectures, incorporating fog computing as a supplement to cloud computing, is highlighted to address fault, privacy, or latency issues in cloud-based BMS. © 2024 IEEE.

关键词： Battery management systems

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Rainfall Prediction Enhancement Using SMOTE and Machine Learning Algorithms 15

Rainfall Prediction Enhancement Using SMOTE and Machine Lear...

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

作者： Hemanth Kumar, R. Vishnu Prasad, B. Yadav, Himanshu Venugopalan, Manju Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350370249

Rainfall prediction is not an easy task when utilizing conventional approaches. For many stakeholders, including people planning their daily lives, farmers caring their crop, and fishermen who depend on the weather for their livelihood, accurate rainfall forecast is essential. Predicting rainfall more accurately has been a promising use of machine learning (ML) models in recent years. Our proposed framework suggests using classification techniques like Random Forest, K-Nearest Neighbors (KNN) classifier, and Decision Tree to construct and implement an ML model for rainfall prediction. SMOTE, an efficient data-balancing technique is used for balancing the minority and majority classes of the data, as rainfall is not a uniformly distributed event, leading to an imbalanced dataset. With an astounding F1-score of around 0.91, a precision of about 0.89, a recall of about 0.94, and an accuracy of roughly 0.91, the Random Forest classifier outperformed the others. these results demonstrate how machine learning (ML) models could possibly be used in producing accurate and depewhich are effective forndable rainfall forecasts, showing significant improvements over conventional prediction techniques. © 2024 IEEE.

关键词： Prediction models

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15th international conference on Ubiquitous computing and Ambient Intelligence, UCAmI 2023

15th International Conference on Ubiquitous Computing and Am...

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15th international conference on Ubiquitous computing and Ambient Intelligence, UCAmI 2023

ISBN: (纸本)9783031485893

the proceedings contain 88 papers. the special focus in this conference is on Ubiquitous computing and Ambient Intelligence. the topics include: Towards a Digital and Ubiquitous Ecosystem of Mobile Technology-Based Solutions to Facilitate Data Management Based on Sustainable Development Goals;towards Abnormal Behaviour Detection on Elderly People at Home through Smart Plugs and Its Relationship with Activities of Daily Living;a Framework for Managing the Experimental Evaluation of Ambient Assisted Living systems;towards a Virtual Reality Visualization of Hand-Object Interactions to Support Remote Physical therapy;Creating Personalized Verbal Human-Robot Interactions Using LLM with the Robot Mini;Automation of Error Recognition in therapies Executions Based on ECogFun-VR;walkability for Active Aging: Factors and Features for an Adapted Trip Planning;predicting User Adoption and Attrition of Digital Health;a distributed Cognition Approach to Understanding Compensatory Calendaring Cognitive systems of Older Adults with Mild Cognitive Impairment and their Care Partners;A Reinforcement Learning Algorithm for Improving the Generation of Telerehabilitation Activities of ABI Patients;Using Generative AI to Assist with Technology Adoption Assessment;"Why Did You Say that?": Understanding Explainability in Conversational AI systems for Older Adults with Mild Cognitive Impairment (MCI);proposal of a Device for Obstacle Detection Applied to Visually Impaired People;transforming Elderly Care through Ethical and Social Evaluation of Intelligent Activity Recognition systems in Nursing Homes;investigating Motivational Factors Influencing Users’ Consumption of Video Streaming Services: A Human Factor Perspective;translation and Validation of the AttrakDiff User Experience Questionnaire to Spanish;the Mind in Virtual Meetings: Comparing VR and Video Conferencing Environments through Experiential Impact Assessment and EEG Analysis;human-Centered Navigation systems: A Systematic Litera

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