2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)最新文献_第10页

Use of Facial Expressions to Improve the Social Acceptance of Level 4 and 5 Automated Driving System Equipped Vehicles 使用面部表情来提高4级和5级自动驾驶系统车辆的社会接受度

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911303

A. C. Marceddu, J. Sini, B. Montrucchio, Massimo Violante

{"title":"Use of Facial Expressions to Improve the Social Acceptance of Level 4 and 5 Automated Driving System Equipped Vehicles","authors":"A. C. Marceddu, J. Sini, B. Montrucchio, Massimo Violante","doi":"10.23919/softcom55329.2022.9911303","DOIUrl":"https://doi.org/10.23919/softcom55329.2022.9911303","url":null,"abstract":"According to the World Health Organization (WHO), more than one million people die yearly from car accidents. At the same time, between 20 and 50 million people suffer non-fatal injuries, which can also lead to permanent disabilities. Recently, vehicles equipped with SAE level 3, 4, and 5 Automated Driving System (ADS) have become one of the hottest topics in the automotive industry. In fact, their main expected benefit is that they could significantly reduce the number of road accidents. Their actual success will depend on how people react to their introduction: considering that the absence of the steering wheel and pedals is possible for levels 4 and 5, will people trust these advanced forms of driving automation? In this regard, the authors of this paper have proposed two different ideas. The first, which can be implemented during the proactive phase, consists in calibrating the driving algorithm of the vehicle based on the volunteers' reaction to simulations of common driving situations. The second, which can be implemented during the reactive phase, consists in dynamically adapting the driving style of the vehicle based on the average feeling inside the vehicle. Both of these ideas could help improve social acceptance and facilitate the transition to vehicles equipped with SAE level 4 and 5 ADS.","PeriodicalId":261625,"journal":{"name":"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132807645","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

Review of Least Action Principle in Electromagnetics: Part III: Applications 电磁学最小作用原理综述:第三部分:应用

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911470

D. Poljak

引用次数: 0

Adaptive Weights-based Dynamic Resource Provisioning in Space Division Multiplexed-Elastic Optical Networks (SDM-EONs) 基于自适应权重的空分多路弹性光网络动态资源分配

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911494

Anjali Sharma, Baljinder Singh Heera, Varsha Lohani, Y. N. Singh

{"title":"Adaptive Weights-based Dynamic Resource Provisioning in Space Division Multiplexed-Elastic Optical Networks (SDM-EONs)","authors":"Anjali Sharma, Baljinder Singh Heera, Varsha Lohani, Y. N. Singh","doi":"10.23919/softcom55329.2022.9911494","DOIUrl":"https://doi.org/10.23919/softcom55329.2022.9911494","url":null,"abstract":"One of the core research issues in Space Division Multiplexed-Elastic Optical Networks (SDM-EON) is the Routing, Space, and Spectrum assignment (RSSA) to support maximum possible traffic. Due to the addition of spatial di-mension, additional constraints and design issues crop up for the resource provisioning in SDM-EON. There could be severe fragmentation in the network spectrum along with the crosstalk impairment among cores leading to unavailability of the resources following RSSA constraints. It limits the efficient utilization of the available capacity in SDM-EON. We propose an Adaptive Weights-based Dynamic Resource Assignment (AW-DRA) technique using SDM-EON link cost parameters and their respective weights. Each link periodically adapts the weights, conforming with the link spectral state, using Teaching Learning-based Optimization (TLBO) approach. We compare the performance of the proposed technique with two other benchmark techniques using simulations. The results demonstrate that the proposed AW-DRA technique performs significantly better in connection blocking and spectrum utilization.","PeriodicalId":261625,"journal":{"name":"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116032145","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: 2

Performance of a Wireless OCDMA Network for Baby Bed Monitoring in a Nursery Context 无线OCDMA网络在婴儿床监控中的性能研究

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911342

Amina Bousssebt, S. Sahuguède, A. Julien-Vergonjanne, S. Reynaud

引用次数: 0

Analyses of Recent Advances on Machine Learning-based Trust Management for Mobile IoT Applications 基于机器学习的移动物联网应用信任管理最新进展分析

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911488

Hiba Souissi, Michaël Mahamat, Ghada Jaber, Hicham Lakhlef, A. Bouabdallah

{"title":"Analyses of Recent Advances on Machine Learning-based Trust Management for Mobile IoT Applications","authors":"Hiba Souissi, Michaël Mahamat, Ghada Jaber, Hicham Lakhlef, A. Bouabdallah","doi":"10.23919/softcom55329.2022.9911488","DOIUrl":"https://doi.org/10.23919/softcom55329.2022.9911488","url":null,"abstract":"The Internet of Things (IoT) has attracted attention by projecting the vision of a global infrastructure on a network of physical objects, enabling connectivity at any time and place to anything and not just for anyone. IoT has grown significantly in a wide variety of applications, including health, smart cities, smart vehicles, etc. In this context, an important part of these applications requires the mobility of terminals that move frequently and change locations, which makes the network vulnerable to multiple attacks. To ensure the security of these networks, several requirements must be taken into consideration, such as privacy, authentication, and trust among users. A certain amount of research has been made to solve the various security-related problems. Machine learning (ML) has an essential role in creating a smarter and more secure IoT, as it has shown remarkable results in different domains. Hence, our survey focuses on classifying and evaluating the existing trust-based security solutions using ML schemes in mobile IoT environments.","PeriodicalId":261625,"journal":{"name":"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121953292","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

An Efficient Federated Identity Management Protocol For Heterogeneous Fog computing Architecture 异构雾计算体系结构中一种高效的联邦身份管理协议

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911414

Youcef Imine, A. Gallais, Y. Challal

{"title":"An Efficient Federated Identity Management Protocol For Heterogeneous Fog computing Architecture","authors":"Youcef Imine, A. Gallais, Y. Challal","doi":"10.23919/softcom55329.2022.9911414","DOIUrl":"https://doi.org/10.23919/softcom55329.2022.9911414","url":null,"abstract":"With the emergence of new data externalization ar-chitectures, as fog computing, having access to external computing services will become much easier. Yet, these new architectures bring ahead many security concerns. Secure federated identity management (FidM) is a promising approach that facilitate fast and secure access to computing services. However, existing security mechanisms applied in the current FidM protocols does not efficiently support cross-collaboration in heterogeneous fog computing architecture where we have multiple security domains. In this paper, we propose a novel federated identity management protocol for secure identity mapping in heterogeneous fog computing architecture. Our protocol allows to create a federation among multiple heterogeneous security domains. Each domain is controlled by an autonomous authority that manages a set of service providers (fog nodes). The federation context is created in a completely decentralized manner. As a result, none of the authorities forming the federation will be in control of that context. Based on secure cryptographic token approach, our scheme allows any service provider to authenticate and map any end-user identity in the system. Regardless of where the token comes from, a service provider always uses the same key to verify the validity of that token. Moreover, the mapping process is fast and locally executed by the service provider. Finally, we present an evaluation of the performance of each phase in our protocol.","PeriodicalId":261625,"journal":{"name":"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127688361","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

An Impact of the Encoding Bitrate on the Quality of Streamed Video Presented on Screens of Different Resolutions 编码比特率对不同分辨率屏幕上呈现的流媒体视频质量的影响

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911338

J. Klink, S. Brachmański

引用次数: 0

Predicting Vulnerabilities in Web Applications Based on Website Security Model 基于网站安全模型的Web应用程序漏洞预测

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911436

Ivan Kovačević, M. Marović, S. Groš, Marin Vukovic

{"title":"Predicting Vulnerabilities in Web Applications Based on Website Security Model","authors":"Ivan Kovačević, M. Marović, S. Groš, Marin Vukovic","doi":"10.23919/softcom55329.2022.9911436","DOIUrl":"https://doi.org/10.23919/softcom55329.2022.9911436","url":null,"abstract":"Web sites and services are probably the most used digital channels today, from ordinary web-sites to cloud services that enable many aspects of our digital lives. Due to the popularity of the web, it is also a very common target of cyber attacks that typically focus either on web application itself or on the underlying server infrastructure. Regarding the highest level of the stack - the web application - there are many available frameworks and content management systems (CMS) for rapid web development, from the ones more oriented to developers (e.g. Spring, Django) to the ones that focus on end users (e.g. Wordpress, Joomla). Typical problem with using a framework or a CMS is the need for constant care of its security, which is done by regular patching of the systems. When going a bit lower towards the web server, one can observe the security related features that might or might not be implemented on the server, such as header security (e.g. cookie related flags, force of encryption etc.). The state of all the mentioned parameters can well be obtained by web crawlers that can browse the web and collect specific information about web applications, sites and servers that run them. In this paper, we propose a model for estimating the possibility of web compromise based on the historical crawler collected data. Due to large amounts of data that can be gathered from the web sites and, especially, indication of compromise of particular web sites, we can determine what factors might lead to a compromise in near future. In this sense, we propose a method for analyzing web site data with respect to known compromises from historical data. We build a model that describes a web site's security state and use the method for estimating how secure the modeled web is and how likely it would become a victim of compromise.","PeriodicalId":261625,"journal":{"name":"2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125394557","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: 3

Identifying Low-Resource Languages in Speech Recordings through Deep Learning 通过深度学习识别语音记录中的低资源语言

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI: 10.23919/softcom55329.2022.9911376

Kleona Binjaku, Joan Janku, E. Meçe

引用次数: 0

Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach 通过贝叶斯网络建模评估规则:一个实用的方法

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-07 DOI: 10.48550/arXiv.2209.05467

F. Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci

引用次数: 1