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17th Annual IEEE international conference on distributed computing in Sensor Systems (IEEE DCOSS)

作者： Araujo Cruz, Antonia Raiane S. Gomes, Rafael L. Fernandez, Marcial P. Fed Inst Ceara IFCE Boa Viagem Brazil State Univ Ceara UECE Fortaleza Ceara Brazil

ISBN: (纸本)9781665439299

the evolution of computational resources allowed the innovation and development of new technologies to improve the accessibility and agility of daily tasks. From these new technologies arose the deployment of IoT Networks. However, most of the IoT devices still don't implement security countermeasures, turn them vulnerable to cyberattacks. One of the most dangerous cyberattacks for IoT networks is the Mirai Botnet, a malware that turns networked consumer devices into a botnet to perform distributed Denial of Service (DDoS) attacks. therefore, it is necessary to provide a security solution to detect cyberattacks on IoT networks. A promising approach to improve the IoT network's detection capacity is the use of Machine Learning (ML) based solutions. this paper presents an intelligent mechanism to detect the Scan, Ack Flooding, Syn Flooding, UDP Flooding, and UDPplain Mirai Botnet attacks on IoT networks using ML techniques, comparing distinct ML approaches (KNN, SVM, and LR). the proposed mechanism was evaluated using a real IoT devices traffic dataset, giving 99% of accuracy to detect Mirai Botnet.

关键词： Internet of things Machine Learning Mirai Botnet

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distributed computing and Artificial Intelligence, Special Sessions, 17th international conference 1st ed. 2021

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丛书名： Advances in intelligent Systems and computing

2021年

作者： Sara Rodríguez González Alfonso González-Briones Arkadiusz Gola George Katranas Michela Ricca Roussanka Loukanova Javier Prieto

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FAST failure detection service for large scale distributed systems

FAST failure detection service for large scale distributed s...

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17th Euromicro international conference on Parallel, distributed and Network-Based Processing, PDP 2009

作者： Michal, Kalewski Anna, Kobusinska Jacek, Kobusínski Institut of Computing Science Poznan University of Technology Poznan Poland

ISBN: (纸本)9780769535449

this paper addresses the problem of building a failure detection service for large scale distributed systems. We describe failure detection service, which merges some novel proposals and satisfies scalability, flexibility and adaptability properties. Afterwards, we present the architecture of such a service, show detailed information about its components and present the simulation results concerning performance. © 2009 IEEE.

关键词： Large-scale systems Scalability Peer to peer computing Detectors Network topology distributed computing Proposals Delay Telecommunication traffic Costs

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intelligent street lamp control system with dynamic light control function 17

Intelligent street lamp control system with dynamic light co...

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17th international Symposium on distributed computing and Applications for Business Engineering and Science (DCABES)

作者： Zeng, Jiahui Ni, Wei Zhang, Runsheng Shi, Liangping Guo, Chang Chen, Yuyan Nanjing Tech Univ Coll Elect Engn & Control Sci Nanjing Jiangsu Peoples R China Huaiyin Inst Technol Coll Automat Huaian Peoples R China

ISBN: (纸本)9781538674451

In order to solve the problem that the traditional street lamps cannot be controlled dynamically according to the specific conditions of the road at night, an intelligent street lamp control system based on speed and sensor detection information is designed to adjust the number of street lamps in front of the vehicle which are turned on in advance, including the illumination level of street lamps. the system combines Radio frequency identification technology to read the tag information of the vehicle through the reader installed on the street lamp and calculate the driving speed and the number of lamps to be turned on. the sensors are installed on the street lamp node to collect the environmental illumination and the vehicle driving information in real time. According to the fuzzy control strategy, the information is analyzed and calculated and the illumination level of the street lamp is adjusted accordingly. MATLAB simulation results show that the system can adjust the illumination level of the lamp quickly according to the result of the sensors, thus reducing the energy consumption of the system.

关键词： Dynamic control Radio frequency identification Vehicle detection Fuzzy control Sensor

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Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Kurama, Onesfole Luukka, Pasi Collan, Mikael Lappeenranta Univ Technol Sch Engn Sci Lappeenranta Finland Lappeenranta Univ Technol Sch Business & Management Lappeenranta Finland

ISBN: (纸本)9781509049172

In this paper, we present a similarity classifier that uses a generalized ordered weighted averaging (GOWA) operator in aggregation. this paper extends earlier research into the ordered weighted averaging (OWA) operator based similarity classifier. Weight-generation for the GOWA operator has been done by using selected regular increasing monotone (RIM) linguistic quantifiers. the proposed new method is tested with four real-world medical data sets and benchmarked against three previously presented similarity classifiers. In general it is found that the performance of the proposed new classifier was good for all data sets tested.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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A distributed Resource Management for VANET using Smart Contract 17

A Distributed Resource Management for VANET using Smart Cont...

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17th IEEE international Wireless Communications and Mobile computing conference (IEEE IWCMC)

作者： Kchaou, Amira Abassi, Ryma Ayed, Samiha El Fatmi, Sihem Guemara Univ Carthage Digital Secur Res Lab Higher Sch Commun Tunis Tunis Tunisia Univ Technol Troyes Troyes France

ISBN: (纸本)9781728186160

Recently, the Vehicular Ad-hoc network (VANET) has progressively gained attention from both industry and research with the rapid development of wireless communication technology and intelligent vehicles. the vehicles exchange messages with other entities but cannot share the resources between them. therefore, security is required in some scenarios including integrity, traceability, confidentiality, notarization of exchanged information as well as access control. In order to provide a secure vehicle communication and access control, we propose an ABAC access control model using smart contract on the blockchain. the use of the blockchain facilitates the sharing of secure messages among vehicles. Moreover, vehicles are able to share the resources with each other exploiting the access control policy on the XACML standard. then, we evaluate the access response time and the storage overhead of the proposal.

关键词： VANET Blockchain smart contract access control ressources ABAC XACML

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Research on the Application of 5G Cloud-network-edge-device Convergence and intelligent Video technology in Smart Grid 17

Research on the Application of 5G Cloud-network-edge-device ...

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17th IEEE international Wireless Communications and Mobile computing conference (IEEE IWCMC)

作者： Ding Peng Xue Yuying Shen Yun Duan Huibin China Telecom Corp Res Inst Dept Serv & Applicat Innovat Beijing Peoples R China

ISBN: (纸本)9781728186160

Smart grid is the development direction of electric power grid transmission, transformation and distribution business. the development of Internet of things technology promotes the process of smart grid. In order to solve the problem of massive data transmission, processing and decision-making brought by the intelligent of the electric power grid, this paper relies on the 5G communication network to build an industrial cloud-edge collaboration architecture based on the cloud native architecture. Aiming at electric power scenarios, deploy visual data set capabilities, high-definition intelligent video analysis basic algorithm libraries and visual cognitive atomic capabilities sets on the cloud-edge collaboration architecture to build an intelligent detection system for transmission and distribution services, which improves the ability, speed of high-definition video analysis, recognition, and increase the accuracy of smart grid detection.

关键词： 5G smart grid cloud-edge collaboration video analysis

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Investigating the Vision Transformer Model for Image Retrieval Tasks 17

Investigating the Vision Transformer Model for Image Retriev...

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17th Annual IEEE international conference on distributed computing in Sensor Systems (IEEE DCOSS)

作者： Gkelios, Socratis Boutalis, Yiannis Chatzichristofis, Savvas A. Democritus Univ Thrace Dept Elect & Comp Engn Xanthi Greece Neapolis Univ Pafos Dept Comp Sci Intelligent Syst Lab Pafos Cyprus

ISBN: (纸本)9781665439299

this paper introduces a plug-and-play descriptor that can be effectively adopted for image retrieval tasks without prior initialization or preparation. the description method utilizes the recently proposed Vision Transformer network while it does not require any training data to adjust parameters. In image retrieval tasks, the use of Handcrafted global and local descriptors has been very successfully replaced, over the last years, by the Convolutional Neural Networks (CNN)-based methods. However, the experimental evaluation conducted in this paper on several benchmarking datasets against 36 state-of-the-art descriptors from the literature demonstrates that a neural network that contains no convolutional layer, such as Vision Transformer, can shape a global descriptor and achieve competitive results. As fine-tuning is not required, the presented methodology's low complexity encourages adoption of the architecture as an image retrieval baseline model, replacing the traditional and well adopted CNN-based approaches and inaugurating a new era in image retrieval approaches.

关键词： Vision Transformer Image Retrieval CBIR

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Exploring Indie Game Development: Team Practices and Social Experiences in A Creativity-Centric technology Community

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COMPUTER SUPPORTED COOPERATIVE WORK-thE JOURNAL OF COLLABORATIVE computing AND WORK PRACTICES 2019年第3-4期28卷 723-748页

作者： Freeman, Guo McNeese, Nathan J. Clemson Univ Sch Comp 100 McAdams Hall Clemson SC 29634 USA

the emergence of various interest-based online communities has led to the popularity of new forms of distributed creative teamwork such as citizen science, crowdsourcing, and open source software development. these new phenomena further complicate the context and content of distributed creative teamwork: what are the characteristics of these new forms of creative teams? And how do they shape people's perceptions and social experiences of distributed creative teams? In this paper, we report our empirical research of the team characteristics and practices in a creativity-centric technology community (i.e., independent [indie] game development) in hopes of exploring these questions. Our findings show that 1) indie game development teams are formed upon shared aspirations and use various strategies to collaborate with friends or online strangers;and their team practices are achieved through a balance between individual creativity and collective vision as well as a collaborative learning for problem solving and self-improvement;and 2) these teams mediate new forms of social interaction and collaborative experiences, featuring a mix of online comradery and weak social ties, and a mix of self-confidence and self-confliction. Using this new dataset and research context, we confirm and extend existing theories of distributed creative teams in CSCW. We also argue that studying these small-scale, self-selected, and interest-based teams can inform the design of collaborative systems to support various creative teams' social needs.

关键词： distributed creative teams Computer-mediated collaboration Indie game development

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Trust-based distributed kalman filter estimation fusion under malicious cyber attacks 21

Trust-based distributed kalman filter estimation fusion unde...

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21st IEEE international conference on High Performance computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Chen, Yanping Ma, Long Xia, Hong Gao, Cong Wang, Zhongmin Yu, Zhong School of Computer Science AND Technology Xi'an University of Posts and Telecommunications Xi'an710121 China Shananxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an University of Posts and Telecommunications Xi'an710121 China School of Communications and Information Engineering Xi'an University of Posts and Telecommunications Xi'an710121 China

ISBN: (纸本)9781728120584

We consider distributed Kalman filter for dynamic state estimation over wireless sensor networks. It is promising but challenging when network is under cyber attacks. Since the information exchange between nodes, the malicious attacks quickly spread across the entire network, which causing large measurement errors and even to the collapse of sensor networks. Aiming at the malicious network attack, a trust-based distributed processing frame is proposed. Which allows neighbor nodes to exchange information, and a series of trusted nodes are found using truth discovery. As a demonstration, distributed Cooperative Localization is considered, and numerical results are provided to evaluate the performance of the proposed approach by considering random, false data injection and replay attacks. © 2019 IEEE.

关键词： Kalman filters

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