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检索条件"任意字段=1st IEEE International Conference on Distributed Computing in Sensor Systems"

共 3334 条记录，以下是1-10 订阅

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1st ieee international conference on Smart Technologies and systems for Next Generation computing, ICstSN 2022

1st IEEE International Conference on Smart Technologies and ...

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1st ieee international conference on Smart Technologies and systems for Next Generation computing, ICstSN 2022

ISBN: (纸本)9781665421119

The proceedings contain 85 papers. The topics discussed include: tipple band s-type antenna with meander line for ism band application;personality prediction of social network users using LstM based sentiment analysis;credit card assent using supervised learning;a survey on machine learning-based facial recognition algorithm;a novel remote sensing based approach to estimate the water quality index using sentinel-2 multispectral data;seasonal sales prediction and visualization for Walmart retail chain using time series and regression analysis: a comparative study;low power enhanced trivium implementation using parallel-pipeline technique;aspect based sentiment analysis for customer reviews;deep neural network based medical image steganography;rotation scheme based power consumption analysis for wireless sensor network;detecting offensive Tamil texts using machine learning and multilingual transformer models;and deep learning method for classifying thyroid nodules using ultrasound images.

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An O(1)-rounds Deterministic distributed Approximation Algorithm for the Traveling Salesman Problem in Congested Clique 20

An O(1)-rounds Deterministic Distributed Approximation Algor...

引用

20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (DCOSS-IoT)

作者： Saikia, Parikshit Natl Inst Technol Silchar Assam India

ISBN: (纸本)9798350369458;9798350369441

We study the Traveling Salesman Problem (TSP) in the Congested Clique Model (CCM) of distributed computing. We present a deterministic distributed algorithm that computes a tour for the TSP using O(1) rounds and O(m) messages for a given undirected weighted complete graph of n nodes and m edges with an approximation factor 2 of the optimal. The TSP has wide applications in logistics, planning, manufacturing and testing microchips, DNA sequencing etc., and we claim that our proposed O(1)-rounds approximation algorithm to the TSP, which is fast and efficient, can also be used to minimize the energy consumption in Wireless sensor Networks.

关键词： Traveling Salesman Problem distributed computing Approximation Congested Clique

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Ensemble-based Cyber Intrusion Detection for Robust Smart City Protection 20

Ensemble-based Cyber Intrusion Detection for Robust Smart Ci...

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20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (DCOSS-IoT)

作者： Alhowaide, Alaa Alsmadi, Izzat Alsinglawi, Belal Mem Univ Newfoundland Fac Sci Comp Sci St John NL Canada Texas A&M Comp Engn & Math Sci San Antonio TX USA Zayed Univ Computat Syst Abu Dhabi U Arab Emirates

ISBN: (纸本)9798350369458;9798350369441

The rapid rise of 5G networks has accelerated the integration of smart cities, marking the emergence of increased intelligence in urban environments, often referred to as Smart Cities. This swift integration has interconnected a wide range of devices and systems, thereby exposing them to potential vulnerabilities. As a result, a smart urban landscape has emerged where valuable and sensitive information is shared without adequate attention to security considerations. Given these challenges, it is essential to implement an effective cloud-based Intrusion Detection System (IDS) for the security of smart cities. This work examines the reliability and robustness of various ensemble learning models, focusing on evaluating the performance and efficiency of an IDS strategy based on machine learning to enhance the security of IoT in smart urban networks. We conducted experimental procedures on three commonly used datasets to achieve the objectives of our study. The results obtained from these procedures are crucial for developing practical IDS solutions that address the ever-changing challenges posed by diverse, smart, cloud-based network traffic systems in smart cities.

关键词： Intrusion Detection systems Machine Learning Internet of Things Network Security Smart Cities

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Temporal Analysis of LoRaWAN Data Packets: Unveiling Patterns for Improving Secure-Oriented IoT Designs 20

Temporal Analysis of LoRaWAN Data Packets: Unveiling Pattern...

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20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (DCOSS-IoT)

作者： Guillen, Edward Uguen, Bernard Moy, Christophe Le Masson, Jerome Univ Rennes CNRS IETR Inst Elect & Technol NumeR UMR 6164 F-35000 Rennes France St Cyr Coetquidan Mil Acad CReC St Cyr F-56380 Guer France

ISBN: (纸本)9798350369458;9798350369441

Like any other Internet of Things (IoT) communication solution, LoRaWAN is vulnerable to profiling attacks such as Denial of Service including reactive jamming or Man in The Middle attacks. These attacks can be challenging to detect and source-locate due to their brief occurrence when attempting to block or simulate a signal. Its deployment requires good accuracy on time predictability. This paper analyzes the temporal behavior of data packets that were captured in a real-world environment with LoRaWAN links over a 16-month period with more than 8 million frames. The aim is to provide tools for analyzing temporal predictability on LoRa data packets to enhance future secure designs. To achieve this, we propose some features and apply them to the dataset. The study reveals slight variations in behavior within the coverage area on a monthly basis, as well as the existence of easily predictable temporal patterns in some device transmissions. Additionally, our findings indicate that designing the LoRaWAN IoT system to transmit at pseudorandom intervals or avoiding static increments in the frame counter could mitigate the risk of time predictability.

关键词： IoT LPWAN Jamming Packet Sniffing LoRaWAN

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Experimental analysis of Wi-Fi-based remote control of UAVs with concurrent mission traffic 20

Experimental analysis of Wi-Fi-based remote control of UAVs ...

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20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (DCOSS-IoT)

作者： Arrabal, Thierry Balaguer, Theotime Lassous, Isabelle Guerin Simonin, Olivier INSA Lyon INRIA CITI Lab Lyon France Univ Lyon UCB Lyon 1 ENS Lyon INRIACNRSLIP UMR 5668 Lyon France

ISBN: (纸本)9798350369458;9798350369441

Communicating UAVs (Unmanned Aerial Vehicles) are promising in terms of applications, but require to address numerous research issues. In this paper, we study the impact of the quality of Wi-Fi communications on the behavior of remotely controlled UAVs. To this end, we design an experimental platform composed of PX4 Vision UAVs, a Motion Capture system, and a tool to generate mission traffic from the ground station. By defining different scenarios and different traffic configurations, we conduct a set of experiments. This allows us to analyze how the presence of mission traffic impacts the stability of the reception of the control traffic, and how, in turn, it impacts the behavior of the UAVs.

关键词： Experimental UAVs wireless networking

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Data Analysis in Wireless sensor Networks with distributed Self Organizing Map 1

Data Analysis in Wireless Sensor Networks with Distributed S...

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1st ieee international conference on Advances in Signal Processing, Power, Communication, and computing, ASPCC 2024

作者： Panwar, Anita Nanda, Satyasai Jagannath Malaviya National Institute of Technology Jaipur Dept. of Electronics and Communication Engineering Rajasthan 302017 India

ISBN: (纸本)9798350355093

distributed clustering algorithms are employed in wireless sensor network (WSN) to improve the local data analysis. This process is carried out collaboratively with the help of nearby neighbours without a central controller. In this paper, distributed clustering is performed with Self Organizing Map (SOM). The SOM is a popular unsupervised neural network model that maps input data to a lower-dimensional grid. On this grid map similar input patterns are placed closer to each other. This process helps in discovering patterns and relationships in the data without prior labeling, thus making proposed distributed Self Organizing Map (DSOM) useful for unknown local data analysis at the WSNs. The proposed algorithm is applied to analyze two real life WSN datasets: Water quality monitoring of Thames river, Weather monitoring dataset of various stations at Canada. Comparative analysis is carried out with distributed Particle Swarm optimization algorithm and distributed K-means algorithm. The proposed DSOM has superior performance, as indicated by Silhouette Index and Quantization Error measurements. © 2024 ieee.

关键词： Particle swarm optimization (PSO)

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Deeply Quantized Neural Networks: Enabling In sensor computing 1

Deeply Quantized Neural Networks: Enabling In Sensor Computi...

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1st international conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart systems, IstEMS 2024

作者： Chandna, Manav Suneja, Saumya Luise, Loris Caruso, Fabio Vito Noronha, Ian Wilfred Dabral, Hem Dutt Singh, Surinder-Pal System Research and Applications STMicroelectronics Greater Noida India System Research and Applications STMicroelectronics Colleoni Italy

ISBN: (纸本)9798350384246

AI on the edge as a paradigm promises unparalleled energy efficiency and data privacy among other benefits. This has resulted in a rising trend of approaches to bring AI computing near or embedded directly inside a sensing element. In this paper, we describe a workflow of executing contemporary deep learning applications along with schemes to overcome the challenges of implementing this class of applications in a resource-constrained computing environment. We demonstrate the performance on a state-of-the-art AI-capable MEMS IMU sensor product from stMicroelectronics called the Intelligent sensor Processing Unit (ISPU) © 2024 ieee.

关键词： Deep learning

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Towards a Prime Directive of SLOs

Towards a Prime Directive of SLOs

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1st ieee international conference on Software Services Engineering (ieee SSE)

作者： Pujol, Victor Casamayor Dustdar, Schahram TU Wien Distributed Syst Grp Vienna Austria

ISBN: (纸本)9798350340754

The promises of the computing continuum paradigm motivate a paradigm change for Internet-distributed computing systems. Unfortunately, we are still far from being able to develop computing continuum systems. We try to move one step forward in the direction of the computing continuum systems by defining design phases for the interconnection of the application with its underlying infrastructure. We assume that SLOs are critical to that endeavor. Hence, we analyze its usage in the scientific literature. Based on the learnings obtained, we define 9 design phases to provide homogeneity and common behaviors in large-scale, heterogeneous, distributed, and complex systems.

关键词： computing continuum systems design phases SLO elasticity strategies

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Application of Network Calculus Models to Heterogeneous streaming Applications

Application of Network Calculus Models to Heterogeneous Stre...

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1st international conference on Smart Energy systems and Artificial Intelligence (SESAI)

作者： Faber, Clayton J. Chamberlain, Roger D. SimpleRose St Louis MO 63101 USA Washington Univ Dept Comp Sci & Engn St Louis MO 63110 USA

ISBN: (纸本)9798350364613;9798350364606

Network calculus has seen extensive use in the performance modeling of communications systems. Here, we apply network calculus techniques to the modeling of streaming data applications running on heterogeneous computing platforms. We quantitatively compare the performance predictions from network calculus with predictions from a discrete-event simulation model and a previously presented queuing theory model.

关键词： performance modeling network calculus streaming data systems

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PULRAS: A Novel PUF-based Lightweight Robust Authentication Scheme 20

PULRAS: A Novel PUF-based Lightweight Robust Authentication ...

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20th Annual international conference on distributed computing in Smart sensor systems and the Internet of Things (DCOSS-IoT)

作者： Yaqub, Zohaib Yigit, Yagmur Maglaras, Leandros Tan, Zhiyan Wooderson, Paul Edinburgh Napier Univ Edinburgh EH10 5DT Midlothian Scotland HORIBA MIRA Watling St Nuneaton CV10 0TU England

ISBN: (纸本)9798350369458;9798350369441

In the rapidly evolving landscape of Intelligent Transportation systems (ITS), Vehicular Ad-hoc Networks (VANETs) play a critical role in enhancing road safety and traffic flow. However, VANETs face significant security and privacy challenges due to their high mobility, dynamic topology, and reliance on open wireless communication. This study addresses the critical question of enhancing the security and privacy of VANET communications amidst the challenges of high mobility, dynamic topology, and the threat of various cyber-attacks. This paper presents a comprehensive solution to enhance the security of VANETs by introducing a novel Physically Unclonable Function (PUF)-based authentication scheme. Our approach leverages the intrinsic security features of PUFs, integrating them with lightweight cryptography to fortify the network against physical acquisition attacks and ensure secure communication over potentially insecure channels. The proposed scheme is meticulously designed to address the unique security and privacy requirements of VANETs, offering a scalable and resilient framework for authenticating and managing the network's entities. Through an extensive evaluation using a realistic experimental setup, our solution demonstrates its efficacy in providing a secure, reliable, and efficient authentication mechanism for VANETs. The scheme balances computational efficiency with advanced security features, making it well-suited for the resource-constrained environment of vehicular networks.

关键词： Vehicular Ad-Hoc Networks Physically Unclonable Functions Lightweight Cryptography Intelligent Transportation systems

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