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检索条件"任意字段=IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

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Beyond Basic Trust: Envisioning the Future of NextGen Networked systems and Digital Signatures 5

Beyond Basic Trust: Envisioning the Future of NextGen Networ...

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5th ieee international conference on Trust, Privacy and Security in Intelligent systems and applications (TPS-ISA)

作者： Yavuz, Attila A. Sedghighadikolaei, Kiarash Darzi, Saleh Nouma, Saif E. Univ S Florida Comp Sci & Engn Tampa FL 33620 USA

ISBN: (纸本)9798350323856

Authentication and integrity are foundational security services for trustworthy systems and the prerequisite of privacy preservation. At the heart of these services lies digital signatures, widely deployed in real-life applications and supported by various standards. Yet, newly emerging next-generation (NextG) networked systems are vastly distributed, include many resource-limited components, and demand advanced features such as privacy, anonymity, and post-quantum (PQ) security. However, the current signature standards and specialized signatures only meet some of these important requirements in isolation. Hence, there is a significant gap in the state-of-theart in identifying the needs of emerging networked systems and synergizing them with the features of advanced signatures. In this work, we strive to mitigate this gap by uniting burgeoning ubiquitous systems with advancements in digital signatures and then envisioning the trust via signatures with extended features for NextG networked systems. We investigate the current signature standardizations and advanced constructions for their potentials and drawbacks in three essential aspects of NextG networks - decentralized, privacy-preserving, and resource-constraint settings. We first analyze threshold cryptography efforts proffered by NIST, both from secure multi-party computation and custom design constructions, with applications on distributed systems like blockchains, federated cloud, and NextG Public Key Infrastructures (PKIs) in mind. We then investigate the intersections of distributed signatures and privacy-preservation techniques for privacy-sensitive NextG applications (e.g., medical, cryptocurrency). We also focus on research gaps for resource and time-limited systems and identify suitable signatures to remedy this gap for security-critical applications (e.g., vehicular networks, smart grids). Finally, we discuss potential directions for these ubiquitous NextG systems and advanced signatures in the PQ era.

关键词： Next generation networks digital signatures distributed systems post-quantum cryptography authentication

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Navigating Exascale Operational Data Analytics: From Inundation to Insight

Navigating Exascale Operational Data Analytics: From Inundat...

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2024 Workshops of the international conference for High Performance computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Shin, Woong Osborne, Tim Karimi, Ahmad Maroof Palumbo, Rachel May, Alex Lester, Corwin Hines, Jesse Sattar, Naw Safrin Huk, Leah Simmerman, Scott Brewer, Wesley Miller, Jeffrey Adamson, Ryan Kuchar, Olga Prout, Ryan Wang, Feiyi Atchley, Scott Oral, Sarp Oak Ridge National Laboratory Oak RidgeTN United States

ISBN: (纸本)9798350355543

In this paper, we address the challenges in achieving sustainable data-driven efficiency by providing a detailed exploration of the end-to-end operational data analytics (ODA) framework that evolved through two generations of supercomputer systems at the Oak Ridge Leadership computing Facility (OLCF). This framework addresses large data streams ingested from heavily instrumented HPC environment that accumulates multi-terabytes per day. We outline the multifaceted data life cycle across HPC procurement, operations, and research & development, identifying key obstacles and design decisions that shape effective strategies in building and supporting data pipelines end-to-end. By sharing key insights and lessons learned from our experience, we offer recommendations for the HPC community on enabling sustainable operational data analytics and beyond. Our contributions aim to bridge the gap between potential and real benefits of operational data, guiding future efforts towards integrated and sustainable operational intelligence in high-performance computing environments. © 2024 ieee.

关键词： Data Analytics Data Governance HPC Post-Exascale Challenges Machine Learning applications Monitoring Operational Data Analytics Telemetry Visual Analytics

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real-time Multi-Human Parsing on embedded Devices

Real-Time Multi-Human Parsing on Embedded Devices

引用

international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Rockson Agyeman Bernhard Rinner Institute of Networked and Embedded Systems University of Klagenfurt Klagenfurt am Wörthersee Austria

Multi-human parsing algorithms have significant potential for real-time surveillance applications. By accurately segmenting humans and their body parts, such algorithms help to understand and better differentiate multiple human subjects in video frames. However, deploying such algorithms on resource-constrained embedded devices such as smart cameras presents challenges due to memory constraints and limited computational power. Therefore, this work investigates the limitations of existing multi-human parsing algorithms and proposes MHParsNet, a lightweight yet accurate model for human parsing on embedded devices. Compared to benchmark algorithms, MHParsNet performs competitive segmentation while requiring only 125 MB of memory. We deployed MHParsNet on a smart camera prototype using the Jetson Nano embedded board and achieved an average inference of 6 frames per second. These results demonstrate the effectiveness of MHParsNet and its suitability for real-time applications on resource-constrained embedded devices.

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real-time Web Application Firewall Monitoring uses the OWASP CRS Framework 9

Real-time Web Application Firewall Monitoring uses the OWASP...

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9th international conference on Informatics and computing, ICIC 2024

作者： Darmawan, Irfan Nuridwan, Afan Rahmatulloh, Alam Gunawan, Rohmat Rizal, Randi Telkom University Department of Information Systems Bandung Indonesia Universitas Siliwangi Department of Informatics Tasikmalaya Indonesia Siliwangi University Department of Informatics Tasikmalaya Indonesia

ISBN: (纸本)9798331517601

Security of communication between users and web applications is critical due to the confidential nature of the data involved. This research implements a Web Application Firewall (WAF) using ModSecurity, enhanced with ModSecurity Log Collector (mloge), to improve application-layer security. The primary contribution of this study is the development of an integrated real-time monitoring system that streamlines the process for security administrators by allowing them to easily monitor and respond to security events as they occur. Through penetration testing with SQL Injection, Cross-Site Scripting (XSS), Unlimited File Uploads, Remote File Inclusions, and Denial of Service (DoS) attacks, the WAF's effectiveness was evaluated. The system successfully blocked these attacks while logging each event in detail. The real-time monitoring system provided instant alerts and detailed reports, enabling administrators to track and respond to intrusion attempts with greater efficiency. This research distinguishes itself by integrating a real-time monitoring solution that not only visualizes WAF logs but also provides a complete record of attack patterns and vulnerabilities. This advancement significantly enhances the ability of administrators to detect, analyze, and mitigate security threats in real-time, offering a practical solution for strengthening web application security management. © 2024 ieee.

关键词： mLogc ModSecurity CRS Monitoring OWASP Web Application Firewall

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Serverless Machine Learning Platform: A Case for real-time Crisis Detection over Social Media 2

Serverless Machine Learning Platform: A Case for Real-Time C...

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2nd international conference on Computer Science, Engineering and applications, ICCSEA 2022

作者： Jambi, Sahar King Abdulaziz University Faculty of Computing and Information Technology Department of Information Systems Jeddah Saudi Arabia

ISBN: (数字)9781665458344

ISBN: (纸本)9781665458344

Serverless computing is an emerging execution model in the cloud in which all required infrastructure and resources are fully managed by cloud providers. The promising features of serverless technology have created a new research focus on building the next generation serverless machine learning. In this paper, we propose a serverless machine learning platform for serving models in real-time by leveraging Google serverless cloud services. We evaluate the proposed platform by serving an NLP model built for crisis detection over Twitter platform. Our experimental results substantiate that serverless machine learning provides lightweight and cost effective cloud services for building highly scalable applications for real-time ML model predictions. © 2022 ieee.

关键词： Machine learning

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applications, Insights and Implications of Digital Twins in Smart City Management 12

Applications, Insights and Implications of Digital Twins in ...

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12th international conference on Smart Grid (ICSmartGrid)

作者： Ersan, Mustafa Irmak, Erdal Colak, Alperen Mustafa Gazi Univ Grad Sch Nat & Appl Sci Dept Elect & Elect Engn Ankara Turkiye Gazi Univ Fac Technol Dept Elect & Elect Engn Ankara Turkiye Toshiba Mitsubishi Elect Ind Syst Corp Ind & Energy Syst Div Tokyo Japan

ISBN: (纸本)9798350361612;9798350361629

Digital twins (DTs) represent a transformative paradigm in urban management, leveraging computer modelling and real-time data integration to create virtual replicas of physical entities and systems. This paper explores their multifaceted applications, emphasizing efficiency, sustainability, and resilience. Synthesizing insights from diverse disciplines, it delineates the process of building digital twins and underscores their role in predictive maintenance, optimized performance, and data-driven decision-making. Using a smart city example, the paper illustrates how digital twins facilitate proactive interventions, resource optimization, and informed decision-making in domains such as traffic management, energy optimization, and public safety. It highlights the significance of digital twins in fostering collaboration, innovation, and resilience, empowering cities to address complex challenges and create inclusive, sustainable environments. In conclusion, digital twins emerge as indispensable tools in realizing the vision of smart, connected, and adaptive cities, poised to navigate the complexities of the contemporary urban landscape and pave the way for a sustainable future.

关键词： Digital Twin Smart City Urban Management

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*** Framework for Automated Code Scaling and Execution on Multiple Distributed Machines 18

*** Framework for Automated Code Scaling and Execution on Mu...

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18th ieee international conference on Computer Science and Information Technologies, CSIT 2023

作者： Chaplia, Oleh Klym, Halyna Lviv Polytechnic National University Department of Specialized Computer Systems Lviv Ukraine

ISBN: (纸本)9798350360462

Microservices is an architectural approach in software development where the complex solution is created from small, independently deployable services that communicate through defined APIs. Microservices find applications in many domains, including banking, finance, healthcare, e-commerce, government, military, logistics, and gaming. Microservice architecture provides general principles of how the solution containing small services should *** research proposes a *** framework for automated code sharing between services and execution in the environment of a distributed system. The proposed framework built on top of *** contains a tiny code base and mechanisms for sharing the user-developed code among many instances of the microservices inside one *** was selected for this framework because it is a tiny framework and library for building server applications. Also, it can be run on embedded devices, cell phones, or any device with a small OS. © 2023 ieee.

关键词： Cloud computing architecture

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QUEST: Quality-informed Multi-agent Dispatching System for Optimal Mobile Crowdsensing

QUEST: Quality-informed Multi-agent Dispatching System for O...

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ieee conference on Computer Communications (ieee INFOCOM)

作者： Li, Zuxin Man, Fanhang Chen, Xuecheng Xu, Susu Dang, Fan Zhang, Xiao-Ping Chen, Xinlei Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China Tsinghua Univ Global Innovat Exchange Beijing Peoples R China Johns Hopkins Univ Dept Civil & Syst Engn Baltimore MD USA Pengcheng Lablatory Shenzhen Peoples R China RISC V Int Open Source Lab Shenzhen Peoples R China

ISBN: (纸本)9798350383515;9798350383508

We address the challenges in achieving optimal Quality of Information (QoI) for non-dedicated vehicular Mobile Crowdsensing (MCS) systems, by utilizing vehicles not originally designed for sensing purposes to provide real-time data while moving around the city. These challenges include the coupled sensing coverage and sensing reliability, as well as the uncertainty and time-varying vehicle status. To tackle these issues, we propose QUEST, a QUality-informed multi-agEnt diSpaTching system, that ensures high sensing coverage and sensing reliability in non-dedicated vehicular MCS. QUEST optimizes QoI by introducing a novel metric called ASQ (aggregated sensing quality), which considers both sensing coverage and sensing reliability jointly. Additionally, we design a mutual-aided truth discovery dispatching method to estimate sensing reliability and improve ASQ under uncertain vehicle statuses. real-world data from our deployed MCS system in a metropolis is used for evaluation, demonstrating that QUEST achieves up to 26% higher ASQ improvement, leading to a reduction of reconstruction map errors by 32-65% for different reconstruction algorithms.

关键词： Internet of Things Mobile sensing and applications Mobile Crowdsensing Data Quality

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Design and Signal Quality Assessment of a Novel Low-Cost Wireless EMG Sensor 14

Design and Signal Quality Assessment of a Novel Low-Cost Wir...

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14th ieee international conference on Cyber Technology in Automation, Control, and Intelligent systems, CYBER 2024

作者： Ling, Ziqin Chen, Jiangcheng Li, Yaonan Xi, Ning University of Hong Kong Department of Industrial and Manufacturing Systems Engineering Hong Kong Shenzhen Academy of Robotics Shenzhen China

ISBN: (纸本)9798331506056

Electromyography (EMG) sensors have been widely used for assessing muscle activation state and human-robot interaction (HRI). However, available commercial EMG sensors are expensive and inconvenient for real-time applications. The aim of this study is to design and validate a novel low-cost wireless EMG sensor. Specifically, the wireless EMG sensor is equipped with an analog-front-end (AFE), radio frequency (RF) module, and controller area network (CAN) bus, which achieves wireless data transmission and provides an interface for real-time HRI. The evaluation of the designed system was done by a series of exercises performed by volunteers. Raw signal., mean absolute value (MAV), zero crossings (ZC), slope sign changes (SSC), waveform length (WL), and median frequency (MDF) are used for comparing wireless EMG sensors and commercial sensors. In addition, Spearman's correlation (SC), and intra-class cross-correlation (ICC) are used as two validation indicators. The result shows that the SC and ICC between the raw signals of the two types of sensors are 0.6156 and 0.7780, respectively. The SC of MAV, ZC, SSC, WL, and MDF are 0.9708, 0.6740, 0.8023, 0.9663, and 0.9476, respectively. The ICC of MAV, ZC, SSC, WL, and MDF are 0.9670, 0.7340, 0.7910, 0.9540., and 0.8230, respectively. The results indicate a good agreement between the two systems and confirm the reliability of the wireless EMG sensor's design. The wireless EMG sensor can be further applied to real-time HRI and muscle fatigue assessment. © 2024 ieee.

关键词： Human robot interaction

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Leveraging Latent Temporal Features for Robust Fault Detection and Isolation in Hexacopter UAVs 10

Leveraging Latent Temporal Features for Robust Fault Detecti...

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10th international conference on Automation, Robotics, and applications, ICARA 2024

作者： Sehgal, Shivaan Maniar, Aakash Kandath, Harikumar Gangadharan, Deepak IIIT-Hyderabad Robotics Research Center Hyderabad India IIIT-Hyderabad Computer Systems Group Hyderabad India

ISBN: (纸本)9798350394245

This paper introduces a novel approach for fault detection and localization in a motor of a Hexacopter UAV. The proposed two-stage architecture leverages Long Short-Term Memory (LSTM) [1] networks for latent temporal feature extraction and Random Forest [2] for localization. By combining them, we see improved fault detection and isolation performance. Our evaluations show the robustness of this approach in varying noise levels and real-world-like environments. Analysis of computational efficiency in rapid detection shows that the model identified faults within 2-5 time steps of the flight. Finally, we show that the proposed method surpasses classical statistical models and deep learning techniques in terms of overall accuracy (96.78 %). © 2024 ieee.

关键词： Long short-term memory

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