Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00061
M. Fugini, Jacopo Finocchi, Giulia Trasa
This paper presents an approach to the recognition of human gestures in the context of the “Seamless” project. In the project, data collected by IoT sensors can be navigated through gesture recognition algorithms. The aim of recognizing human gestures in Seamless is to give commands through a wearable control device. The paper outlines the Seamless project and then concentrates on our approach to understand a set of gestures using Machine Learning. The employed model and the results are illustrated.
{"title":"Gesture Recognition using Dynamic Time Warping","authors":"M. Fugini, Jacopo Finocchi, Giulia Trasa","doi":"10.1109/WETICE49692.2020.00061","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00061","url":null,"abstract":"This paper presents an approach to the recognition of human gestures in the context of the “Seamless” project. In the project, data collected by IoT sensors can be navigated through gesture recognition algorithms. The aim of recognizing human gestures in Seamless is to give commands through a wearable control device. The paper outlines the Seamless project and then concentrates on our approach to understand a set of gestures using Machine Learning. The employed model and the results are illustrated.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124402992","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00010
Alejandro Rodríguez-Arias, B. Guijarro-Berdiñas, N. Sánchez-Maroño
Multi-agent systems (MAS) allow facing complex, heterogeneous, distributed problems difficult to solve by only one software agent. Games often provide very adequate problems for the use of MAS. In the field of Games, Unity is one of the most used video game engines and allows the development of intelligent agents in 2D/3D virtual environments. However, although Unity allows working in multi-agent environments it does not provide functionalities to facilitate the development of genuine MAS. One crucial functionality is to allow agents to communicate and understand each other through an agent communication language (ACL). The objective of this work is to supply Unity with this capacity, adding support for the creation, sending and reception of messages. As a result, a communication system and an ACL are provided that facilitate the development of MAS in Unity, allowing to solve problems that require collaborative solutions among agents.
{"title":"A FIPA-ACL based communication utility for Unity","authors":"Alejandro Rodríguez-Arias, B. Guijarro-Berdiñas, N. Sánchez-Maroño","doi":"10.1109/WETICE49692.2020.00010","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00010","url":null,"abstract":"Multi-agent systems (MAS) allow facing complex, heterogeneous, distributed problems difficult to solve by only one software agent. Games often provide very adequate problems for the use of MAS. In the field of Games, Unity is one of the most used video game engines and allows the development of intelligent agents in 2D/3D virtual environments. However, although Unity allows working in multi-agent environments it does not provide functionalities to facilitate the development of genuine MAS. One crucial functionality is to allow agents to communicate and understand each other through an agent communication language (ACL). The objective of this work is to supply Unity with this capacity, adding support for the creation, sending and reception of messages. As a result, a communication system and an ACL are provided that facilitate the development of MAS in Unity, allowing to solve problems that require collaborative solutions among agents.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114417477","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00043
Hamida Belkhiria, Fairouz Fakhfakh, I. Rodriguez
In the world of cyber-physical systems, the emergence of Smart Living Spaces (SLS) trend gives people the opportunity to benefit from new ways of living. Such technological trend that involves several aspects of daily life, allows the residents of the space to better customize and control their environment. SLS emphasizes, mainly, energy conservation, convenience and comfort as well as health care concerns. They are gradually realized in practical applications e.g. household appliances and medical and care systems. The SLS related applications are intended to improve the quality of life for users by ensuring that their needs are met, thereby producing more sustainable use of energy in a given living space. Moreover, the development of SLS technology makes the devices around us “smart”. This has brought lot of challenges, one of which is the access control management. In a SLS, there has to be a robust access control mechanism in place in order to ensure an authorized access to devices. This paper focuses on the use of Role Based Access Control (RBAC) model as an efficient means to prevent unauthorized users from gaining access to devices in a Smart Building. Then, to guarantee that only the approved users can access the devices, a Smart Building Manager (SBM) is required to ask an evaluation engine to evaluate requests. We separate the evaluation as a third party in the smart building in which we propose RBAC with domains that stands our policy model. We implement the policy model for the aim to ensure a fine grained access control to a smart building application while evolving from a mono-user to a multi-user.
在网络物理系统的世界中，智能生活空间(SLS)趋势的出现使人们有机会从新的生活方式中受益。这种技术趋势涉及到日常生活的几个方面，让空间的居民更好地定制和控制他们的环境。SLS主要强调节能、方便、舒适以及健康。它们逐渐在实际应用中实现，例如家用电器和医疗保健系统。SLS相关的应用旨在通过确保满足用户的需求来提高他们的生活质量，从而在给定的生活空间中产生更可持续的能源利用。此外，SLS技术的发展使我们周围的设备变得“智能”。这带来了许多挑战，其中之一就是访问控制管理。在SLS中，必须有一个健壮的访问控制机制，以确保对设备的授权访问。本文重点研究了基于角色的访问控制(RBAC)模型作为一种有效的手段来防止未经授权的用户访问智能楼宇中的设备。然后，为了保证只有通过审批的用户才能访问设备，需要SBM (Smart Building Manager)请求评估引擎对请求进行评估。我们将评估作为智能建筑中的第三方进行分离，在智能建筑中，我们提出RBAC与符合我们策略模型的域。我们实现策略模型的目的是确保对智能建筑应用程序进行细粒度的访问控制，同时从单用户发展到多用户。
{"title":"Resolving Multi-user Conflicts in a Smart Building using RBAC","authors":"Hamida Belkhiria, Fairouz Fakhfakh, I. Rodriguez","doi":"10.1109/WETICE49692.2020.00043","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00043","url":null,"abstract":"In the world of cyber-physical systems, the emergence of Smart Living Spaces (SLS) trend gives people the opportunity to benefit from new ways of living. Such technological trend that involves several aspects of daily life, allows the residents of the space to better customize and control their environment. SLS emphasizes, mainly, energy conservation, convenience and comfort as well as health care concerns. They are gradually realized in practical applications e.g. household appliances and medical and care systems. The SLS related applications are intended to improve the quality of life for users by ensuring that their needs are met, thereby producing more sustainable use of energy in a given living space. Moreover, the development of SLS technology makes the devices around us “smart”. This has brought lot of challenges, one of which is the access control management. In a SLS, there has to be a robust access control mechanism in place in order to ensure an authorized access to devices. This paper focuses on the use of Role Based Access Control (RBAC) model as an efficient means to prevent unauthorized users from gaining access to devices in a Smart Building. Then, to guarantee that only the approved users can access the devices, a Smart Building Manager (SBM) is required to ask an evaluation engine to evaluate requests. We separate the evaluation as a third party in the smart building in which we propose RBAC with domains that stands our policy model. We implement the policy model for the aim to ensure a fine grained access control to a smart building application while evolving from a mono-user to a multi-user.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128315750","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00009
Walid Younes, F. Adreit, Sylvie Trouilhet, J. Arcangeli
Cyber-physical and ambient systems surround the human user with applications that should be tailored as possible to her/his preferences and the current situation. We propose to build them automatically and on the fly by composition of software components present at the time in the environment, but without prior expression of the user’s needs or process specification or composition model. In order to produce knowledge useful for automatic composition in the absence of an initial guideline, we have developed a generic solution based on lifelong online reinforcement learning. It is decentralized within a multi-agent system where agents learn incrementally from user feedback to satisfy her/him. Different use cases have been experimented in which applications, adapted to the user and the situation, are composed and emerge automatically and continuously.
{"title":"Agent-mediated application emergence through reinforcement learning from user feedback","authors":"Walid Younes, F. Adreit, Sylvie Trouilhet, J. Arcangeli","doi":"10.1109/WETICE49692.2020.00009","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00009","url":null,"abstract":"Cyber-physical and ambient systems surround the human user with applications that should be tailored as possible to her/his preferences and the current situation. We propose to build them automatically and on the fly by composition of software components present at the time in the environment, but without prior expression of the user’s needs or process specification or composition model. In order to produce knowledge useful for automatic composition in the absence of an initial guideline, we have developed a generic solution based on lifelong online reinforcement learning. It is decentralized within a multi-agent system where agents learn incrementally from user feedback to satisfy her/him. Different use cases have been experimented in which applications, adapted to the user and the situation, are composed and emerge automatically and continuously.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126437209","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00014
K. Drira, M. Jmaiel, I. Rodriguez, Nesrine Khabou
The goal of this track is to bring together researchers and practitioners both from the Academia and from the Industry working in the areas of the adaptation and reconfiguration of distributed systems. Different investigation topics are involved, such as: CBSE, Web service, cloud applications, mobile applications, Functional and Non-Functional requirements (QoS, performance, resilience), monitoring, diagnosis, decision and execution of adaptation and reconfiguration. Different research areas are covered: concepts, methods, techniques, and tools to design, develop, deploy and manage adaptive and reconfigurable software systems.
{"title":"Adaptive and Reconfigurable Systems and Architectures (AROSA 2020) : Summary Report","authors":"K. Drira, M. Jmaiel, I. Rodriguez, Nesrine Khabou","doi":"10.1109/WETICE49692.2020.00014","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00014","url":null,"abstract":"The goal of this track is to bring together researchers and practitioners both from the Academia and from the Industry working in the areas of the adaptation and reconfiguration of distributed systems. Different investigation topics are involved, such as: CBSE, Web service, cloud applications, mobile applications, Functional and Non-Functional requirements (QoS, performance, resilience), monitoring, diagnosis, decision and execution of adaptation and reconfiguration. Different research areas are covered: concepts, methods, techniques, and tools to design, develop, deploy and manage adaptive and reconfigurable software systems.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127948642","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00036
Fatima Laiche, Asma BEN LETAIFA, T. Aguili
Over the last few years, the evolution of multimedia streaming services has resulted in growth and significant explorations of Quality of Experience (QoE) since the concept of QoE is gaining an enormous research effort, but it is still complex to estimate. This estimation can be influenced by a wide range of quality affecting factors. In this work, we provide standard definitions, we review and survey existing models to classify QoE Influence Factors (IFs). Moreover, we present a classification of the QoE IFs into four groups: system factors, context factors, human factors, and social-behavioral factors. Finally, regarding the QoE IFs, we highlight some relevant studies. We believe that our overview and findings can provide an understanding of the related quality affecting factors and QoE assessment approaches over video communications.
{"title":"QoE Influence Factors (IFs) classification Survey focusing on User Behavior/Engagement metrics","authors":"Fatima Laiche, Asma BEN LETAIFA, T. Aguili","doi":"10.1109/WETICE49692.2020.00036","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00036","url":null,"abstract":"Over the last few years, the evolution of multimedia streaming services has resulted in growth and significant explorations of Quality of Experience (QoE) since the concept of QoE is gaining an enormous research effort, but it is still complex to estimate. This estimation can be influenced by a wide range of quality affecting factors. In this work, we provide standard definitions, we review and survey existing models to classify QoE Influence Factors (IFs). Moreover, we present a classification of the QoE IFs into four groups: system factors, context factors, human factors, and social-behavioral factors. Finally, regarding the QoE IFs, we highlight some relevant studies. We believe that our overview and findings can provide an understanding of the related quality affecting factors and QoE assessment approaches over video communications.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134332974","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00015
Emna Mezghani, Samuel Berlemont, Marc Douet
With the adoption of the Internet of Things (IoT), devices become integrated in our daily lives. These devices are more and more interdependent, either by guaranteeing connectivity, or by providing data for complex services. In an ever-evolving IoT context, continuously managing these connected objects is crucial, to handle vulnerabilities, ensure their well-functioning, and add new services. These features fall under the scope of Device Management (DM). The distribution and scalability of DM platforms become all the more exacerbated as device profiles and deployment use cases get more heterogeneous. Thus, multiple actors are involved in IoT services, with their respective, isolated, DM platforms. However, DM operations, such as reboots and firmware updates, have a direct impact on the state of devices, which requires awareness across DM platforms. In this paper, we address conflicts linked to connectivity dependencies, which may arise during the simultaneous execution of DM operations on interdependent devices. Hence, we propose a coordinator that collects DM operation intentions from isolated DM platforms and detects the relevant dependencies, so as to plan and orchestrate the execution of these operations. An evaluation of this middleware is presented, with perspectives for industrial applications.
{"title":"Autonomic Coordination of IoT Device Management Platforms","authors":"Emna Mezghani, Samuel Berlemont, Marc Douet","doi":"10.1109/WETICE49692.2020.00015","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00015","url":null,"abstract":"With the adoption of the Internet of Things (IoT), devices become integrated in our daily lives. These devices are more and more interdependent, either by guaranteeing connectivity, or by providing data for complex services. In an ever-evolving IoT context, continuously managing these connected objects is crucial, to handle vulnerabilities, ensure their well-functioning, and add new services. These features fall under the scope of Device Management (DM). The distribution and scalability of DM platforms become all the more exacerbated as device profiles and deployment use cases get more heterogeneous. Thus, multiple actors are involved in IoT services, with their respective, isolated, DM platforms. However, DM operations, such as reboots and firmware updates, have a direct impact on the state of devices, which requires awareness across DM platforms. In this paper, we address conflicts linked to connectivity dependencies, which may arise during the simultaneous execution of DM operations on interdependent devices. Hence, we propose a coordinator that collects DM operation intentions from isolated DM platforms and detects the relevant dependencies, so as to plan and orchestrate the execution of these operations. An evaluation of this middleware is presented, with perspectives for industrial applications.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128869188","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00044
K. Katsarou, Chahinez Ounoughi, Amira Mouakher, C. Nicolle
Undoubtedly, the steady increase in the number of elderly people is not to be underestimated. These demographic changes call attention to new challenges regarding adequate aging-in-place strategies. Since the majority of the senior population spend up to 90% of their time indoors, appropriate and comfortable housing represents an important foundation for such strategies. In this respect, different types of data gathered from sensors, connected devices, and Internet of Things (IoT) technologies come to play an important role to support services for the elderly population in indoor environments. One of the aspects of concern is thermal comfort. In this paper, we introduce a new deep learning-based model framework named STCMS, that uses both Long-Short Term Memory (LSTM) and Deep Neural Networks (DNN) architectures, dedicated to predicting thermal comfort for elderly people. Experiments based on the publicly available dataset, show that our proposed models outperform the pioneering approaches of the literature on the agreed assessment metrics, particularly with an accuracy that varies between 80.29% to 88.16% using only internal and external temperatures data. The proposed approach can be used as a smart thermostat solution integrated into smart home ecosystems dedicated to elderly people. Thus, it would contribute simultaneously to improve their well-being and to reduce energy consumption and health costs.
{"title":"STCMS: A Smart Thermal Comfort Monitor For Senior People","authors":"K. Katsarou, Chahinez Ounoughi, Amira Mouakher, C. Nicolle","doi":"10.1109/WETICE49692.2020.00044","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00044","url":null,"abstract":"Undoubtedly, the steady increase in the number of elderly people is not to be underestimated. These demographic changes call attention to new challenges regarding adequate aging-in-place strategies. Since the majority of the senior population spend up to 90% of their time indoors, appropriate and comfortable housing represents an important foundation for such strategies. In this respect, different types of data gathered from sensors, connected devices, and Internet of Things (IoT) technologies come to play an important role to support services for the elderly population in indoor environments. One of the aspects of concern is thermal comfort. In this paper, we introduce a new deep learning-based model framework named STCMS, that uses both Long-Short Term Memory (LSTM) and Deep Neural Networks (DNN) architectures, dedicated to predicting thermal comfort for elderly people. Experiments based on the publicly available dataset, show that our proposed models outperform the pioneering approaches of the literature on the agreed assessment metrics, particularly with an accuracy that varies between 80.29% to 88.16% using only internal and external temperatures data. The proposed approach can be used as a smart thermostat solution integrated into smart home ecosystems dedicated to elderly people. Thus, it would contribute simultaneously to improve their well-being and to reduce energy consumption and health costs.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127411155","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00039
M. Alishahi, Nicola Zannone
Adversarial instances are malicious input designed by attackers to cause a classification model to make a false prediction, e.g. in Spam detection. Effective solutions have been proposed to detect and block adversarial instances in real time. Still, the proposed approaches fail to detect adversarial instances over private input (required by many on-line platforms analyzing sensitive personal data).In this work, we propose a novel framework that applies a statistical test to detect adversarial instances when data under analysis are in private format. The practical feasibility of our approach in terms of computation cost is shown through an experimental evaluation.
{"title":"Privacy Preserving Statistical Detection of Adversarial Instances","authors":"M. Alishahi, Nicola Zannone","doi":"10.1109/WETICE49692.2020.00039","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00039","url":null,"abstract":"Adversarial instances are malicious input designed by attackers to cause a classification model to make a false prediction, e.g. in Spam detection. Effective solutions have been proposed to detect and block adversarial instances in real time. Still, the proposed approaches fail to detect adversarial instances over private input (required by many on-line platforms analyzing sensitive personal data).In this work, we propose a novel framework that applies a statistical test to detect adversarial instances when data under analysis are in private format. The practical feasibility of our approach in terms of computation cost is shown through an experimental evaluation.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115864975","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}
Pub Date : 2020-09-01DOI: 10.1109/WETICE49692.2020.00028
G. Kolaczek, K. Juszczyszyn
The purpose of Complex Networks Monitoring and Security and Fraud Detection for Enterprises - CoNeSec track is two-fold: Firstly, the track offers a forum for scientists and engineers to exchange ideas on novel analytical techniques using network log data. Secondly, the track has a thematic focus on emerging technology for complex network, security and privacy. We seek publications on all theoretical and practical work in areas related to the theme above.
{"title":"Maintaining Security and Quality in Mobile and Network Systems - CoNeSec Track Summary","authors":"G. Kolaczek, K. Juszczyszyn","doi":"10.1109/WETICE49692.2020.00028","DOIUrl":"https://doi.org/10.1109/WETICE49692.2020.00028","url":null,"abstract":"The purpose of Complex Networks Monitoring and Security and Fraud Detection for Enterprises - CoNeSec track is two-fold: Firstly, the track offers a forum for scientists and engineers to exchange ideas on novel analytical techniques using network log data. Secondly, the track has a thematic focus on emerging technology for complex network, security and privacy. We seek publications on all theoretical and practical work in areas related to the theme above.","PeriodicalId":114214,"journal":{"name":"2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131146252","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}
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