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2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)最新文献

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Demonstration of Wireless Multi-Path Communication to Improve Reliability 提高可靠性的无线多路径通信演示
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454765
Christopher Lehmann, Yijun Zhu, Andreas Ingo Grohmann, F. Fitzek
{"title":"Demonstration of Wireless Multi-Path Communication to Improve Reliability","authors":"Christopher Lehmann, Yijun Zhu, Andreas Ingo Grohmann, F. Fitzek","doi":"10.1109/CCNC51664.2024.10454765","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454765","url":null,"abstract":"The demonstrator described in this work shows wireless multi-path communication to enable Ultra Reliable Low Latency Communication (URLLC) for mobile industrial applications in demanding scenarios, that implement closed-loop control systems in a cloud-native manner. We show mobile vehicles that are coordinated precisely through an intersection, controlled by a central entity located in an edge cloud. In order to ensure seamless operation, the connection to the controller needs to be ultra-reliable and with low latency, otherwise the mobile vehicles may crash. To enable this we use a WiFi network as well as a Non Public Network (NPN) of the 5th Generation of cellular mobile communications (5G) network in parallel to increase robustness against delays and losses on each individual link. The audience can experience the benefits of multi-path communication by interacting with the demonstration.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"112 2","pages":"1118-1119"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Game Theory for Privacy-Preserving Cybersecurity Information Exchange Framework 保护隐私的网络安全信息交换框架博弈论
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454694
Ignacio Astaburuaga, Shamik Sengupta
{"title":"Game Theory for Privacy-Preserving Cybersecurity Information Exchange Framework","authors":"Ignacio Astaburuaga, Shamik Sengupta","doi":"10.1109/CCNC51664.2024.10454694","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454694","url":null,"abstract":"Analyzing the intricate dynamics of cyber threat information (CTI) sharing platforms promotes strategic data exchange, fortifying organizations with the collective strength needed to mitigate cyber threats effectively. This research aims to quantitatively assess the utility of joining a cyber threat intelligence platform. More specifically, this paper attempts to apply the principles of game theory to cyber threat intelligence platforms to uncover how the game develops over time and examine whether it is beneficial for an organization to join in the first place. The source code for the implementation discussed in this paper is available at https://gitlab.com/ignaciochg/ccnc24-game-theory-cybex.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"111 4","pages":"730-735"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enabling a Scalable and Adaptive Cloud Infrastructure for Virtual Users in the Social Internet of Things 为社交物联网中的虚拟用户提供可扩展的自适应云基础设施
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454717
Silvia Corpino, M. Anedda, M. Fadda, D. Giusto, R. Girau
{"title":"Enabling a Scalable and Adaptive Cloud Infrastructure for Virtual Users in the Social Internet of Things","authors":"Silvia Corpino, M. Anedda, M. Fadda, D. Giusto, R. Girau","doi":"10.1109/CCNC51664.2024.10454717","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454717","url":null,"abstract":"The Internet of Things (IoT) is a global network of intelligent interconnected objects, enabling remote recognition, detection, and control. Through virtualization, these devices exchange knowledge in the Cloud, bridging physical and virtual worlds. However, the rapid growth in connected objects and data production necessitates innovative system designs. While virtualization offers scalability and flexibility, it proves insufficient alone. Recent studies recommend integrating social network concepts into IoT, forming the Social Internet of Things (SIoT). SIoT, mirroring human social networks, enhances smart devices with relational capabilities, addressing challenges in managing the surge in connected devices. This paper introduces the “Virtual User” concept-an autonomous entity streamlining user-device interactions in the digital realm. The research proposes, elucidates, and evaluates a Cloud infrastructure integrating the Virtual User into the SIoT paradigm. This novel approach offers a modular, extendable, and secure communication platform, marking the first Cloud solution tailored for the Virtual User concept, leveraging SIoT virtualization through containerization and automated service setup processes.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"15 1","pages":"376-379"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
BERT-Based Prediction Model of Management Sales Forecast Error Using Japanese Firms' Earnings Meeting Transcripts 基于 BERT 的管理层销售预测误差预测模型--利用日本公司的收益会议记录
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454661
Siya Bao, Yiqun Jin
{"title":"BERT-Based Prediction Model of Management Sales Forecast Error Using Japanese Firms' Earnings Meeting Transcripts","authors":"Siya Bao, Yiqun Jin","doi":"10.1109/CCNC51664.2024.10454661","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454661","url":null,"abstract":"Earnings meeting transcripts contain valuable information relevant to investment decision-making, and reflect firm's future performance such as sales revenue forecasts. In this paper, we proposed a BERT-based model to predict whether the actual sales beat the forecast using long-text Japanese EM transcripts. According to the experiment results, our proposed method outperforms the five conventional methods with an improvement ≥ 4% in accuracy.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"13 7","pages":"1066-1067"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On TinyML WiFi Fingerprinting-Based Indoor Localization: Comparing RSSI vs. CSI Utilization 基于 TinyML WiFi 指纹的室内定位：比较 RSSI 与 CSI 利用率
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454828
Diego Mendez, Marco Zennaro, Moez Altayeb, Pietro Manzoni
{"title":"On TinyML WiFi Fingerprinting-Based Indoor Localization: Comparing RSSI vs. CSI Utilization","authors":"Diego Mendez, Marco Zennaro, Moez Altayeb, Pietro Manzoni","doi":"10.1109/CCNC51664.2024.10454828","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454828","url":null,"abstract":"As context-aware location-based services (LBS) become increasingly important in many Internet of Things (IoT) verticals, such as logistics or industry 4.0, indoor localization is now an essential feature to be integrated in these solutions. For this purpose, fingerprinting-based solutions arise as a feasible solution, especially when integrating artificial intelligence on the edge, supported by computational and memory-restricted embedded devices, as it does not depend on a cloud-based deployment. In this work, we integrate this new paradigm, known as TinyML, and compare the implementation of a machine learning (ML) model when using only WiFi Received Signal Strength Indicator (RSSI) or WiFi Channel State Information (CSI) data. We tested two different scenarios, a single sample or time series, with different configurations of the trained neural network. Our results show that a CSI data ML model always outperforms an equivalent RSSI approach, with a massive difference in performance for the time-series case.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"64 8","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Revisiting TCP Pacing for Throughput Performance Enhancement Over TDD Band in Private Mobile Networks 重新审视 TCP 步调以提高专用移动网络 TDD 频段的吞吐量性能
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454643
Anan Sawabe, Y. Shinohara, Takanori Iwai
{"title":"Revisiting TCP Pacing for Throughput Performance Enhancement Over TDD Band in Private Mobile Networks","authors":"Anan Sawabe, Y. Shinohara, Takanori Iwai","doi":"10.1109/CCNC51664.2024.10454643","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454643","url":null,"abstract":"Private mobile networks, such as local 5G, have attracted the attention of industry players who expect flexible radio resource allocation by methods such as time-division duplex (TDD) scheduling based on the uplink and downlink traffic demand of their solutions. However, there are two challenges when communicating using TCP congestion control algorithms (CCAs) over the TDD link: TDD-induced ACK-waiting time and misestimating congestion states due to deterministic delay variation caused by TDD scheduling. In this paper, we propose a TDD-aware TCP pacing method for improving TCP throughput by pacing the sending time between two consecutive segments within the ACK-waiting time. We determine the pacing rate on the basis of the TDD-induced delay variation for sending TCP segments within allocated TDD slots while reducing round-trip time (RTT). We evaluate the performance of our method by using a network simulator (ns-3). TCP pacing improves throughput by about 10–70% compared with when there is no pacing, especially for TCP Illinois. We also verify that our TDD-aware pacing improves throughput by about 10% compared to the default pacing rate on the Linux kernel.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"71 7","pages":"863-868"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On the Trade-Off Between Privacy and Information Quality in Location Based Services 论基于位置的服务中隐私与信息质量之间的权衡
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454873
Francesco Apollonio, Luca Bedogni, Giacomo Gori, A. Melis, M. Prandini
{"title":"On the Trade-Off Between Privacy and Information Quality in Location Based Services","authors":"Francesco Apollonio, Luca Bedogni, Giacomo Gori, A. Melis, M. Prandini","doi":"10.1109/CCNC51664.2024.10454873","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454873","url":null,"abstract":"Location based services (LBS) are leveraged in everyday services and applications, as they can provide contextual and relevant information for the user needs. These services require the location of the user to be sent along with other relevant information, to provide the data in return that is relevant to the sent position. Although this opens up exciting scenarios for users, it has also been studied since it encompasses several potential privacy issues, which range from the re-identification of the user to the discovery of habits and routines. In this work, we present a study on the tradeoff between the information quality obtained from an LBS and the location precision sent by the user. Our results indicate that by sending out queries with imprecise location enhances the privacy of the users, while still providing a satisfactory quality of information.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"77 1","pages":"994-997"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic Clustering Page Allocation for Read-Intensive Multimedia Streaming Applications 针对读取密集型多媒体流应用的动态聚类页面分配
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454852
Han Jang, Youngbin Jin, Dongjun Lee, Ben Lee
{"title":"Dynamic Clustering Page Allocation for Read-Intensive Multimedia Streaming Applications","authors":"Han Jang, Youngbin Jin, Dongjun Lee, Ben Lee","doi":"10.1109/CCNC51664.2024.10454852","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454852","url":null,"abstract":"CFDP and PFCD page allocation schemes are commonly adopted for datacenter SSDs. However, they have limitations on improving read performance as their fixed allocation unit of a single page causes the layout of related data to be dispersed. This paper proposes the Dynamic Clustering Page Allocation scheme, which dynamically adjusts the allocation unit by considering the characteristics of application-level I/Os to find an optimal trade-off between the utilization of channel-level parallelism and internal flash-chip features. Our simulation study shows that the DCPA scheme improves throughput for read-intensive applications compared to CFDP/PFCD by a factor of 1.59 – 3.15.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"69 6","pages":"84-89"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Water Wastage Detection in Smart Homes Through IoT and Machine Learning 通过物联网和机器学习检测智能家居中的水浪费情况
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454886
Chiara Brunelli, Gianmarco Pappacoda, Ivan D. Zyrianoff, L. Bononi, M. D. Felice
{"title":"Water Wastage Detection in Smart Homes Through IoT and Machine Learning","authors":"Chiara Brunelli, Gianmarco Pappacoda, Ivan D. Zyrianoff, L. Bononi, M. D. Felice","doi":"10.1109/CCNC51664.2024.10454886","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454886","url":null,"abstract":"Promoting sustainable water usage is a critical imperative across all sectors of society. Households are no exception since a significant portion of water is wasted daily due to inefficient appliances or improper habits. Thus, there is a need for innovative solutions that not only improve water utilization but also raise residents' awareness about this issue. This paper presents a promising solution leveraging the Internet of Things (IoT) and Machine Learning (ML) techniques to detect water wastage stemming from sink usage automatically. We have designed and developed a low-cost prototype equipped with an array of sensors, including a microphone, an ultrasonic sensor, and a PIR, to monitor sink usage. A deep learning model based on Gated Recurrent Units (GRU) has been trained to classify the wastage events. To validate our concept, we have gathered a small dataset relative to nine common daily water usage activities through the IoT prototype. Our preliminary findings demonstrate the feasibility of our solution, with an average accuracy exceeding 90% in detecting wastage events.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"68 10","pages":"372-375"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accessibility of Mobile User Interfaces using Flutter and React Native 使用 Flutter 和 React Native 实现移动用户界面的无障碍性
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) Pub Date : 2024-01-06 DOI: 10.1109/CCNC51664.2024.10454681
Lorenzo Perinello, O. Gaggi
{"title":"Accessibility of Mobile User Interfaces using Flutter and React Native","authors":"Lorenzo Perinello, O. Gaggi","doi":"10.1109/CCNC51664.2024.10454681","DOIUrl":"https://doi.org/10.1109/CCNC51664.2024.10454681","url":null,"abstract":"From the first static webpages to Web 3.0 and ubiquitous devices, technologies enhance and influence our lives today more than ever. Mobile devices, like smartphones, allow users to download millions of applications developed with different programming languages, frameworks, and quality standards. In this context, accessibility is a critical point that needs to be persecuted not only by developers, but even offered as an out-of-the-box feature by mobile technologies so that modern mobile applications can improve the lives of all users. In this paper, we investigate how two frameworks for cross-platform development, Flutter and React Native, address accessibility issues, and we propose some solutions when the official documentation does not.","PeriodicalId":518411,"journal":{"name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","volume":"5 2","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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