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International Conference on Network and Service Management

作者： Katharina O. E. Müller Delia Datsomor Daria Schumm Bruno Rodrigues Burkhard Stiller Department of Informatics IfI Communication Systems Group CSG University of Zurich UZH Switzerland Embedded Sensing Group ESG Institute of Computer Science in Vorarlberg ICV University of St. Gallen HSG Switzerland

ISBN: (数字)9783903176669

ISBN: (纸本)9798331505158

The rise of the Internet-of-Things (IoT) and smart homes has resulted in the increased use of ZigBee as the communication protocol of choice in home networks, giving ample opportunity for network monitoring and user profiling, as a consequence, raising a major privacy concern. Yet, there has been little exploration of the extractable information solely from network packets, particularly Philips Hue *** as, to the authors’ knowledge, there have been no studies examining whether a single network key provides enough generalization to extract data from other unknown ZigBee networks. To address this gap, this paper proposes StealthProfiler, a passive and real-time Proof-of-Concept (PoC) tool designed to identify, classify, and extract devices and events within a Philips Hue *** a result, the tool was successfully used to extract network events from encrypted Zigbee networks, achieving an accuracy of approximately 94% in identifying devices and events within the network without decrypting network traffic.

关键词： Knowledge engineering Privacy Protocols Zigbee Telecommunication traffic Smart homes Real-time systems Object recognition Data mining Monitoring

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Compliance Management of IaC-Based Cloud Deployments During Runtime 23

Compliance Management of IaC-Based Cloud Deployments During ...

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Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing

作者： Ghareeb Falazi Lukas Harzenetter Kálmán Képes Frank Leymann Uwe Breitenbücher Evangelos Ntentos Uwe Zdun Martin Becker Elena Heldwein Institute of Architecture of Application Systems University of Stuttgart Stuttgart Germany Reutlingen University Reutlingen Germany Research Group Software Architecture Faculty of Computer Science University of Vienna Vienna Austria IBM Deutschland Böblingen Germany

ISBN: (纸本)9798400702341

Modern cloud applications increasingly depend on Infrastructure-as-Code (IaC) practices for infrastructure automation to help manage the complexity of deploying large-scale architectures. Additionally, the deployment of cloud applications is commonly subject to compliance rules. Moreover, designing compliant IaC-based cloud deployments is not enough since runtime changes to the infrastructure or the configuration of individual components may introduce compliance violations. Often, the process of checking and fixing such violations is done manually, which is time-consuming and error-prone. Therefore, this work aims to define and implement a method for runtime IaC compliance management that reduces the complexity, effort, and uncertainty of checking and enforcing compliance rules against IaC-based cloud deployments at runtime. To this end, we follow the design-science research methodology to design and implement (i) the Runtime IaC Compliance Management (RICMa) method and (ii) the IaC Compliance Management Framework (IaCMF) that supports the execution of the RICMa method. We prototypically implement IaCMF and evaluate it using a qualitative interview study with industry experts.

关键词： infrastructure-as-code IaC IT compliance cloud compliance compliance management

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Detecting and Resolving Coupling-Related Infrastructure as Code Based architecture Smells in Microservice Deployments

Detecting and Resolving Coupling-Related Infrastructure as C...

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IEEE International Conference on Cloud Computing, CLOUD

作者： Evangelos Ntentos Uwe Zdun Ghareeb Falazi Uwe Breitenbücher Frank Leymann Software Architecture Group University of Vienna Vienna Austria University of Vienna Doctoral School Computer Science Vienna Austria Institute of Architecture of Application Systems University of Stuttgart Stuttgart Germany

The Infrastructure as Code (IaC) concept enables IT infrastructure to be managed as software: resources can be managed, monitored, and provisioned automatically instead of manually by developers or operations teams. Many industries have already embraced this concept widely. However, research on IaC-based deployments, particularly research focusing on loose coupling, often does not offer methods for evaluating architectural conformance, spotting architecture smells, and support for correcting the found smells. Our work strives to provide an automatic method for continuously developing microservice-based systems and the associated infrastructure. We aim to offer an automated architectural refactoring method that checks if IaCbased deployments adhere to patterns and best practices and do not contain potential architectural smells. We provide architects with viable options for enhancing architectural conformance during microservice development. In short, by continuously detecting architectural smells and suggesting possible fixes, we aim to support architecture evolution within the framework of continuous delivery practices. We evaluate our approach using three case studies and variants based on open-source microservice architectures.

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Compiler-aided nd-range parallel-for implementations on CPU in hipSYCL 22

Compiler-aided nd-range parallel-for implementations on CPU ...

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2022 International Workshop on OpenCL, IWOCL 2022

作者： Meyer, Joachim Alpay, Aksel Fröning, Holger Heuveline, Vincent Compiler Design Lab Saarland Informatics Campus Saarland University Germany Computing Systems Group Institute of Computer Engineering Heidelberg University Germany Engineering Mathematics and Computing Lab Interdisciplinary Center for Scientific Computing Heidelberg University Germany

ISBN: (纸本)9781450396585

With heterogeneous programming continuously on the rise, performance portability is still to be improved. SYCL provides the nd-range parallel-for paradigm for writing data-parallel kernels. This model allows barriers for group-local synchronization, similar to CUDA and OpenCL kernels. GPUs provide efficient means to model this, but on CPUs the necessary forward-progress guarantees require the use of many (lightweight) threads in library-only SYCL implementations, rendering the nd-range parallel-for unacceptably inefficient. By adopting two compiler-based approaches solving this, the present work improves the performance of the nd-range parallel-for in hipSYCL for CPUs by up to multiple orders of magnitude on various CPU architectures. The two alternatives are compared with regard to their functional correctness and performance. By upstreaming one of the variants, hipSYCL is the first SYCL implementation to provide a well performing nd-range parallel-for on CPU, without requiring an available OpenCL runtime. © 2022 Owner/Author.

关键词： Program compilers

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Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots

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Internet of Things and Cyber-Physical systems 2024年第1期4卷 19-23页

作者： Gill, Sukhpal Singh Xu, Minxian Patros, Panos Wu, Huaming Kaur, Rupinder Kaur, Kamalpreet Fuller, Stephanie Singh, Manmeet Arora, Priyansh Parlikad, Ajith Kumar Stankovski, Vlado Abraham, Ajith Ghosh, Soumya K. Lutfiyya, Hanan Kanhere, Salil S. Bahsoon, Rami Rana, Omer Dustdar, Schahram Sakellariou, Rizos Uhlig, Steve Buyya, Rajkumar School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Raygun Performance Monitoring Wellington New Zealand Center for Applied Mathematics Tianjin University Tianjin China Department of Science Kings Education London United Kingdom Cymax Group Technologies BC Canada QM Academy Queen Mary University of London London United Kingdom Jackson School of Geosciences University of Texas at Austin AustinTX United States Centre for Climate Change Research Indian Institute of Tropical Meteorology Pune India Microsoft Hyderabad India Institute for Manufacturing Department of Engineering University of Cambridge Cambridge United Kingdom Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Machine Intelligence Research Labs AuburnWA United States Faculty of Computing and Data Science FLAME University Maharashtra Pune India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India Department of Computer Science University of Western Ontario London Canada Sydney Australia School of Computer Science University of Birmingham United Kingdom School of Computer Science and Informatics Cardiff University Cardiff United Kingdom Distributed Systems Group Vienna University of Technology Vienna Austria Department of Computer Science University of Manchester Oxford Road Manchester United Kingdom Laboratory School of Computing and Information Systems The University of Melbourne Australia

ChatGPT, an AI-based chatbot, offers coherent and useful replies based on analysis of large volumes of data. In this article, leading academics, scientists, distinguish researchers and engineers discuss the transformative effects of ChatGPT on modern education. This research discusses ChatGPT capabilities and its use in the education sector, identifies potential concerns and challenges. Our preliminary evaluation shows that ChatGPT perform differently in different subject areas including finance, coding, maths, and general public queries. While ChatGPT has the ability to help educators by creating instructional content, offering suggestions and acting as an online educator to learners by answering questions, transforming education through smartphones and IoT gadgets, and promoting group work, there are clear drawbacks in its use, such as the possibility of producing inaccurate or false data and circumventing duplicate content (plagiarism) detectors where originality is essential. The often reported "hallucinations" within GenerativeAI in general, and also relevant for ChatGPT, can render its use of limited benefit where accuracy is essential. What ChatGPT lacks is a stochastic measure to help provide sincere and sensitive communication with its users. Academic regulations and evaluation practices used in educational institutions need to be updated, should ChatGPT be used as a tool in education. To address the transformative effects of ChatGPT on the learning environment, educating teachers and students alike about its capabilities and limitations will be crucial. © 2023 The Authors

关键词： Machine learning

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Image Captioning with Reinforcement Learning 2

Image Captioning with Reinforcement Learning

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2nd IEEE International Conference on computer Vision and Machine Intelligence, CVMI 2023

作者： Verma, Anand Agarwal, Saurabh Arya, K.V. Petrlik, Ivan Esparza, Roberto Rodriguez, Ciro ABV-IIITM Gwalior Department of Information Technology Madhya Pradesh 474015 India ABV-Indian Institute of Information Technology and Management Multimedia and Information Security Research Group Department of Computer Science and Engineering Gwalior474015 India National University Federico Villarreal Faculty of Industrial and Systems Engineering Lima Peru National University Mayor de San Marcos Faculty of Systems Engineering and Informatics Peru

ISBN: (纸本)9798350305142

Image captioning involves generating a natural language description that accurately represents the content and context of an image. To achieve this, image captioning utilises various machine learning techniques and fields, such as computer vision and natural language processing. In the field of image captioning, a lot of advances have been made with encoder-decoder models and reinforcement learning algorithms. However, there are still problems of imbalance between testing and training, as reinforcement learning only handles single comparator metrics such as CIDEr, SPICE, and BLEU and could not perform better in multiple metrics at once. Which is why a lack of diversity can be seen in generated captions. This idea proposes a general technique for collaborative updating that can bridge the gap between evaluation measures and test metrics to produce captions that are more human-like. To increase the precision of image captions, the approach involves using a compiled reward system that considers multiple evaluation metrics to compare the generated sentence with the provided sentences. We will evaluate the model's performance and the reward updating process on standard datasets like MS COCO. © 2023 IEEE.

关键词： Reinforcement learning

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Analyzing the behaviors of pedestrians and cyclists in interactions with autonomous systems using controlled experiments: A literature review

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Transportation Research Part F: Traffic Psychology and Behaviour 2025年 114卷 270-307页

作者： Danya Li Wencan Mao Francisco C. Pereira Yu Xiao Xiang Su Rico Krueger Department of Technology Management and Economics Technical University of Denmark (DTU) Denmark Information Systems Architecture Science Research Division National Institute of Informatics (NII) Japan Department of Information and Communications Engineering Aalto University Finland Department of Computer Science and Department of Agricultural Sciences University of Helsinki Finland

Urban transportation is set to undergo a profound transformation with the advent of autonomous systems such as autonomous vehicles, automated buses, and sidewalk delivery robots. To promote safe, sustainable, and inclusive urban mobility, understanding and predicting the behaviors of pedestrians and cyclists, including their intentions, decisions, and movements, when they interact with autonomous systems becomes crucial. Gaining a thorough understanding of these complex interactions can not only improve the safety, efficiency, and acceptance of autonomous systems but also enhance the design and implementation of these technologies. Through a comprehensive review of the literature spanning the years 2014 to 2023, we identify 99 articles that empirically investigate the interactions of humans and autonomous systems. Based on our overview of progress and challenges within this field, we further identify five research gaps that future research should address to enhance human-autonomous system interactions, including: (1) scaling up experimental scenarios to multi-user and multi-modal setups to better represent real-world challenges, (2) emphasizing safety-critical scenarios that are difficult to achieve in real-world environments by applying virtual reality, (3) incorporating diverse behavioral data from the human perspective to deepen the understanding of vulnerable road user behavior and decisions, (4) embracing continuous and real-time interaction to better predict dynamic future environments, and (5) enhancing the generalization ability to ensure realism and broad applicability. This review article offers valuable insights for the growing human-autonomous system research community, specifically those interested in leveraging controlled experiments to enhance the understanding and prediction of pedestrians' and cyclists' behaviors in future urban environments.

关键词： Human-autonomous system interaction Human behavioral modeling Autonomous vehicles Virtual reality Controlled experiment

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Fairness-Aware Demodulator Allocation in LoRa Multi-Gateway Networks

IEEE Networking Letters

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IEEE Networking Letters 2025年

作者： Guitton, Alexandre Kaneko, Megumi Clermont-Auvergne-INP Universitè Clermont-Auvergne LIMOS CNRS Clermont-Ferrand63000 France National Institute of Informatics Information Systems Architecture Science Research Division Tokyo101-8430 Japan The University of Tokyo Department of Computer Science Tokyo113-8656 Japan

The literature has shown the drastic decrease of the achievable LoRa network throughput, due to the limited number of demodulators that are supported by LoRaWAN gateways. Unlike existing approaches, in this work, we design fairness-aware algorithms under this stringent constraint. By taking the efficient demodulation time ratio as a fairness metric, our algorithms enable to prioritize frames with larger spreading factors, while increasing the total demodulation time thanks to collaboration among gateways. Numerical results demonstrate that our proposed methods largely outperform LoRaWAN baselines, while closely approaching their performance upper bounds. © 2019 IEEE.

关键词： Gateways (computer networks)

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AfriBit: A People-Oriented Wallet Fostering Financial Inclusion in Kibera

AfriBit: A People-Oriented Wallet Fostering Financial Inclus...

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Blockchain, Robotics and AI for Networking Security Conference (BRAINS)

作者： Marco Leder Daria Schumm Bruno Rodrigues Burkhard Stiller Department of Informatics IfI Communication Systems Group CSG University of Zürich UZH Zürich Switzerland Institute of Computer Science in Vorarlberg ICV University St. Gallen HSG Dornbirn Austria

ISBN: (数字)9798350367843

ISBN: (纸本)9798350367850

For many Western countries, access to a functioning banking system is taken for granted. However, many people in developing countries are still excluded from having a bank account for savings and worldwide money transfers. In the region of Kenya, MPesa has established itself as a mobile financial money service. This service provides a possible solution to mitigate some of the issues of financial exclusion and offers the possibility of accessing mobile banking services. This paper presents AfriBit, a wallet that addresses financial exclusion in Kibera, improves the user experience (UX), facilitates cryptocurrencies adaptation, and provides a feasible alternative to MPesa. AfriBit is evaluated based on a 20-person user study, with a group from Kibera and a group from Switzerland. The study involves real-world scenarios to gather qualitative and quantitative data on the new design changes. Our results have shown that the AfriBit wallet makes it easier to understand the application and solve tasks with less effort.

关键词： Banking Developing countries User experience Cryptocurrency

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Demo: Secure Inventorying and Lifecycle Management of IoT Devices with DLT

Demo: Secure Inventorying and Lifecycle Management of IoT De...

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Conference on Local computer Networks (LCN)

作者： Armin R. Veres Daria Schumm Thomas Grübl Katharina O. E. Müller Bruno Rodrigues Burkhard Stiller Department of Informatics IfI Communication Systems Group CSG University of Zürich UZH Zürich Switzerland Institute of Computer Science in Vorarlberg ICV University St.Gallen HSG Dornbirn Austria

ISBN: (数字)9798350388008

ISBN: (纸本)9798350388015

Security management of Internet-of-Things (IoT) infrastructures encompassing the entire lifecycle of products and their continuous certification are fundamental functions to guarantee a high level of security. This paper demonstrates a DLT-based platform enabling secure inventorying and management of IoT devices and sensors distributed across multiple stakeholders. This work makes use of the Hyperledger framework, Decentralized Identifiers (DID), and Manufacturer Usage Description (MUD) files for IoT device inventorying and the identification of critical software updates.

关键词： Multiuser detection Distributed ledger Security management Software computer networks Sensors Internet of Things

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