Computer Networks and Communications最新文献

Analysis of Path Convergence in Chord DHT 和弦 DHT 的路径收敛分析

Computer Networks and Communications Pub Date : 2024-07-25 DOI: 10.37256/cnc.2220244753

Vladimir Rocha, Daniel Czeresnia, Carlo Kleber da Silva Rodrigues

引用次数: 0

Optimizing Cloud Resource Allocation in Federated Environments through Outsourcing Strategies 通过外包策略优化联盟环境中的云资源分配

Computer Networks and Communications Pub Date : 2024-07-08 DOI: 10.37256/cnc.2220244747

Arash Mazidi

引用次数: 0

DeAuth: A Decentralized Authentication and Authorization Scheme for Secure Private Data Sharing DeAuth：用于安全私人数据共享的去中心化认证和授权方案

Computer Networks and Communications Pub Date : 2024-07-05 DOI: 10.37256/cnc.2220244281

Phillipe Austria, Yoohwan Kim, Ju-Yeon Jo

{"title":"DeAuth: A Decentralized Authentication and Authorization Scheme for Secure Private Data Sharing","authors":"Phillipe Austria, Yoohwan Kim, Ju-Yeon Jo","doi":"10.37256/cnc.2220244281","DOIUrl":"https://doi.org/10.37256/cnc.2220244281","url":null,"abstract":"The sharing of private information is a daunting, multifaceted, and expensive undertaking. Furthermore, identity management is an additional challenge that poses significant technological, operational, and legal obstacles. Present solutions and their accompanying infrastructures rely on centralized models that are susceptible to hacking and can hinder data control by the rightful owner. Consequently, blockchain technology has generated interest in the fields of identity and access control. This technology is viewed as a potential solution due to its ability to offer decentralization, transparency, provenance, security, and privacy benefits. Nevertheless, a completely decentralized and private solution that enables data owners to control their private data has yet to be presented. In this research, we introduce DeAuth, a novel decentralized, authentication and authorization scheme for secure private data transfer. DeAuth combines blockchain, smart-contracts, decentralized identity, and distributed peer-to-peer (P2P) storage to give users more control of their private data, and permissioning power to share without centralized services. For this scheme, identity is proven using decentralized identifiers and verifiable credentials, while authorization to share data is performed using the blockchain. A prototype was developed using the Ethereum Blockchain and the InterPlanetary Files System, a P2P file sharing protocol. We evaluated DeAuth through a use-case study and metrics such as security, performance, and cost. Our findings indicate DeAuth to be viable alternative to using centralized services; however, the underlying technologies are still in its infancies and require more testing before it can supplant traditional services.","PeriodicalId":505128,"journal":{"name":"Computer Networks and Communications","volume":" 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676004","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

FaceLite: A Real-Time Light-Weight Facemask Detection Using Deep Learning: A Comprehensive Analysis, Opportunities, and Challenges for Edge Computing FaceLite：使用深度学习的实时轻量面罩检测：边缘计算的全面分析、机遇与挑战

Computer Networks and Communications Pub Date : 2024-05-13 DOI: 10.37256/cnc.2120244439

Anup Kumar Paul

{"title":"FaceLite: A Real-Time Light-Weight Facemask Detection Using Deep Learning: A Comprehensive Analysis, Opportunities, and Challenges for Edge Computing","authors":"Anup Kumar Paul","doi":"10.37256/cnc.2120244439","DOIUrl":"https://doi.org/10.37256/cnc.2120244439","url":null,"abstract":"The edge computing devices running models based on deep learning have drawn a lot of interest as a prominent way of handling various applications based on AI. Due to limited memory and computing resources, it is still difficult to deploy deep learning models on edge devices in a production context with effective inference. This study examines the deployment of a lightweight facemask detection model on edge devices with real-time inference. The proposed framework uses a dual-stage convolutional neural network (CNN) architecture with two main modules that use Caffe-DNN for face detection and a proposed model based on CNN architecture or customized models based on transfer learning (e.g., MobileNet-v2, resNet50, denseNet121, NASNetMobile, Inception-v3, and XceptionNet) for facemask classification. The study does numerous analyses based on the models' performance in terms of accuracy, precision, recall, and F1-score and compares all models with low disk size and good accuracy as the main priorities for memory-constrained edge devices. The proposed CNN model for facemask detection outperforms other state-of-the-art models in terms of accuracy, achieving 99%, 99%, and 99% on the training, validation, and testing, respectively, with the facemask detection ~12K image datasets available on Kaggle. This accuracy is comparable to other transfer learning-based models, and it also achieves the smallest number of total trainable parameters and, thus, the smallest disk size of all models.","PeriodicalId":505128,"journal":{"name":"Computer Networks and Communications","volume":"62 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140984850","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

Channel Precoding for Compute and Forward Relaying in Two Way Relay Network Model 双向中继网络模型中计算与前向中继的信道预编码

Computer Networks and Communications Pub Date : 2024-03-29 DOI: 10.37256/cnc.2120244057

Jeyalakshmi Vijayarajan, S. T. Selvi

引用次数: 1

A Framework for Security Assessment of Android Mobile Banking Applications 安卓移动银行应用安全评估框架

Computer Networks and Communications Pub Date : 2024-03-07 DOI: 10.37256/cnc.2120243929

Loïc D. Tsobdjou, Samuel Pierre, A. Quintero

引用次数: 0

Security and Privacy of Wearable Wireless Sensors in Healthcare: A Systematic Review 医疗保健领域可穿戴无线传感器的安全性和隐私性：系统回顾

Computer Networks and Communications Pub Date : 2024-02-05 DOI: 10.37256/cnc.2120243852

Ranjit Kaur, Seyed Shahrestani, Chun Ruan

{"title":"Security and Privacy of Wearable Wireless Sensors in Healthcare: A Systematic Review","authors":"Ranjit Kaur, Seyed Shahrestani, Chun Ruan","doi":"10.37256/cnc.2120243852","DOIUrl":"https://doi.org/10.37256/cnc.2120243852","url":null,"abstract":"Wearable Wireless Sensor Network (WWSN) devices are widely used in healthcare to monitor health data. However, when WWSN users transmit their data to healthcare professionals or third parties over wireless connections, they face privacy and security vulnerabilities. This paper aims to identify the unsolved privacy and security challenges in wearable sensor devices in healthcare, especially the aspects overlooked by previous research. The main research question is: What are the unsolved privacy and security challenges in wearable sensor devices in healthcare, and what are their implications for users and healthcare professionals? This systematic review employs specific keywords to search for relevant publications on bibliographic databases, including Google Scholar, Scopus, IEEE Xplore, and Web of Science. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) charts helped in screening and summarising the selected papers. The results highlight the critical areas that can make WWSNs vulnerable to security attacks. The findings examine the security and privacy issues of wearable sensor devices in cloud computing, fog computing, the Internet of Things (IoT) and the like. Many studies examine IoT due to its privacy and security challenges, especially regarding handling extensive data, using public channels, deploying advanced technologies, managing sharing policies alongside the growing number of wireless devices, and protecting data from hackers. These challenges seriously threaten the confidentiality, integrity, and availability of health data transmitted by WWSN users to healthcare professionals or third parties in cloud-based environments and IoT and are exacerbated by limited resources. The significant findings thereby focus on unresolved areas in IoT. This paper aims to safeguard against cyber-attacks on healthcare and increase users' adoption rate of WWSN devices.","PeriodicalId":505128,"journal":{"name":"Computer Networks and Communications","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139864557","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

Security and Privacy of Wearable Wireless Sensors in Healthcare: A Systematic Review 医疗保健领域可穿戴无线传感器的安全性和隐私性：系统回顾

Computer Networks and Communications Pub Date : 2024-02-05 DOI: 10.37256/cnc.2120243852

Ranjit Kaur, Seyed Shahrestani, Chun Ruan

{"title":"Security and Privacy of Wearable Wireless Sensors in Healthcare: A Systematic Review","authors":"Ranjit Kaur, Seyed Shahrestani, Chun Ruan","doi":"10.37256/cnc.2120243852","DOIUrl":"https://doi.org/10.37256/cnc.2120243852","url":null,"abstract":"Wearable Wireless Sensor Network (WWSN) devices are widely used in healthcare to monitor health data. However, when WWSN users transmit their data to healthcare professionals or third parties over wireless connections, they face privacy and security vulnerabilities. This paper aims to identify the unsolved privacy and security challenges in wearable sensor devices in healthcare, especially the aspects overlooked by previous research. The main research question is: What are the unsolved privacy and security challenges in wearable sensor devices in healthcare, and what are their implications for users and healthcare professionals? This systematic review employs specific keywords to search for relevant publications on bibliographic databases, including Google Scholar, Scopus, IEEE Xplore, and Web of Science. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) charts helped in screening and summarising the selected papers. The results highlight the critical areas that can make WWSNs vulnerable to security attacks. The findings examine the security and privacy issues of wearable sensor devices in cloud computing, fog computing, the Internet of Things (IoT) and the like. Many studies examine IoT due to its privacy and security challenges, especially regarding handling extensive data, using public channels, deploying advanced technologies, managing sharing policies alongside the growing number of wireless devices, and protecting data from hackers. These challenges seriously threaten the confidentiality, integrity, and availability of health data transmitted by WWSN users to healthcare professionals or third parties in cloud-based environments and IoT and are exacerbated by limited resources. The significant findings thereby focus on unresolved areas in IoT. This paper aims to safeguard against cyber-attacks on healthcare and increase users' adoption rate of WWSN devices.","PeriodicalId":505128,"journal":{"name":"Computer Networks and Communications","volume":"22 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139804745","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

Mechanism for Efficient Media Propagation in Event-Driven Cyber-Physical Systems 事件驱动网络物理系统中的高效媒体传播机制

Computer Networks and Communications Pub Date : 2024-01-26 DOI: 10.37256/cnc.2120243999

Rolando Herrero

引用次数: 0

Channel Model for CM-3 Scenario Over Generalized Distribution Under Various Window Functions 各种窗口函数下广义分布的 CM-3 场景通道模型

Computer Networks and Communications Pub Date : 2024-01-22 DOI: 10.37256/cnc.2120244017

Shekhar Singh, S. P. Singh, L. M

{"title":"Channel Model for CM-3 Scenario Over Generalized Distribution Under Various Window Functions","authors":"Shekhar Singh, S. P. Singh, L. M","doi":"10.37256/cnc.2120244017","DOIUrl":"https://doi.org/10.37256/cnc.2120244017","url":null,"abstract":"In terms of fundamental research and technology development level, Wireless Body Area Network (WBAN) is a well-established paradigm of wireless system. However, like any wireless system, channel modeling of WBAN is one of the most challenging research eras. Also, literature suggests Channel Model-3, termed as CM-3 scenario based on the positioning of the Nano antenna, is one of the most useful deployment scenarios of WBAN. Further, arrival time and the number of arrivals, which plays an important role in the CM-3 scenario of WBAN, are modeled using the Poisson distribution. However, in Poisson distribution the variance and mean are equal and the probability of success is kept fixed. Hence, the versatility of the channel model based Poisson distribution is limited due to limited parameters. On the other hand, Negative Binomial (NB) distribution with extra parameters is a more general distribution. Therefore, this manuscript employs Negative Binomial distribution to present a more general channel model under the CM-3 scenario. In addition, effects of different windowing techniques, such as Bartlett and Gaussian window, on the channel model are analyzed under both, Poisson distribution and Negative Binomial distributions.","PeriodicalId":505128,"journal":{"name":"Computer Networks and Communications","volume":"9 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139609541","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