2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)最新文献_第2页

Dynamic Economic-Denial-of-Sustainability (EDoS) Detection in SDN-based Cloud 基于sdn的云中的动态经济可持续性拒绝检测

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144972

Phuc Trinh Dinh, Minho Park

{"title":"Dynamic Economic-Denial-of-Sustainability (EDoS) Detection in SDN-based Cloud","authors":"Phuc Trinh Dinh, Minho Park","doi":"10.1109/FMEC49853.2020.9144972","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144972","url":null,"abstract":"In Cloud Computing, a new type of attack, called Economic Denial of Sustainability (EDoS) attack, exploits the pay-per-use model to scale up the resource usage over time to the extent that the cloud user has to pay for the unexpected usage charge. To prevent EDoS attacks, we propose an efficient solution in the SDN-based cloud computing environment. In this paper, we first apply an unsupervised learning approach called Long Short-Term Memory (LSTM), which is a multivariate time series anomaly detection, to detect EDoS attacks. Its key idea is to try to predict values of the resource usage of a cloud consumer (CPU load, memory usage and etc). Furthermore, unlike other existing proposals using a predefined threshold to classify the anomalies which generate high rate errors, in this work, we utilize a dynamic error threshold which delivers much better performance. Through practical experiments, the proposed EDoS attack defender is proven to outperform existing mechanisms for EDoS attack detection. Furthermore, it also outperforms some of the machine-learning-based methods, which we conducted the experiment ourselves. The comprehensive experiments conducted with various EDoS attack levels prove that the proposed mechanism is an effective, innovative approach to defense EDoS attacks in the SDN-based cloud.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123871689","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: 8

Latency-Aware Industrial Fog Application Orchestration with Kubernetes 使用Kubernetes实现延迟感知工业雾应用编排

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144934

R. Eidenbenz, Y. Pignolet, Alain Ryser

{"title":"Latency-Aware Industrial Fog Application Orchestration with Kubernetes","authors":"R. Eidenbenz, Y. Pignolet, Alain Ryser","doi":"10.1109/FMEC49853.2020.9144934","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144934","url":null,"abstract":"The benefit of fog computing to use local devices more efficiently and to reduce the latency and operation cost compared to cloud infrastructure is promising for industrial automation. Many industrial (control) applications have demanding real-time requirements and existing automation networks typically exhibit low-bandwidth links between sensing and computing devices. Fog applications in industrial automation contexts thus require that the amount of data transferred between sensing, computing and actuating devices, as well as latencies of control loops are minimized. To meet these requirements, this paper proposes a fog layer architecture that manages the computation and deployment of latency-aware industrial applications with Kubernetes, the prevalent container orchestration framework. The resulting fog layer dynamically solves the resource allocation optimization problem and then deploys distributed containerized applications to automation system networks. It achieves this in a non-intrusive manner, i.e. without actively modifying Kubernetes. Moreover it does not depend on proprietary protocols and infrastructure and is thus widely applicable and preferable to a vendor-specific solution. We compare the architecture with two alternative approaches that differ in the level of coupling to Kubernetes.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122389905","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: 15

Reinforcement Learning-based Computation Resource Allocation Scheme for 5G Fog-Radio Access Network 基于强化学习的5G雾无线接入网计算资源分配方案

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144787

N. Khumalo, O. Oyerinde, L. Mfupe

引用次数: 4

Towards Security and Privacy for Edge AI in IoT/IoE based Digital Marketing Environments 在基于物联网/物联网的数字营销环境中，边缘人工智能的安全和隐私

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144755

R. Sachdev

{"title":"Towards Security and Privacy for Edge AI in IoT/IoE based Digital Marketing Environments","authors":"R. Sachdev","doi":"10.1109/FMEC49853.2020.9144755","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144755","url":null,"abstract":"Edge Artificial Intelligence (Edge AI) is a crucial aspect of the current and futuristic digital marketing Internet of Things (IoT) / Internet of Everything (IoE) environment. Consumers often provide data to marketers which is used to enhance services and provide a personalized customer experience (CX). However, use, storage and processing of data has been a key concern. Edge computing can enhance security and privacy which has been said to raise the current state of the art in these areas. For example, when certain processing of data can be done local to where requested, security and privacy can be enhanced. However, Edge AI in such an environment can be prone to its own security and privacy considerations, especially in the digital marketing context where personal data is involved. An ongoing challenge is maintaining security in such context and meeting various legal privacy requirements as they themselves continue to evolve, and many of which are not entirely clear from the technical perspective. This paper navigates some key security and privacy issues for Edge AI in IoT/IoE digital marketing environments along with some possible mitigations.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123118693","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: 7

Resource Allocation in Combined Fog-Cloud Scenarios by Using Artificial Intelligence 基于人工智能的雾云组合场景资源配置

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144693

Masoud Abedi, M. Pourkiani

引用次数: 15

A novel approach for high-velocity big geo-data handling using iterative and feature learning algorithms 一种使用迭代和特征学习算法的高速大地理数据处理新方法

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144893

Sana Rekik, Sami Faïz

{"title":"A novel approach for high-velocity big geo-data handling using iterative and feature learning algorithms","authors":"Sana Rekik, Sami Faïz","doi":"10.1109/FMEC49853.2020.9144893","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144893","url":null,"abstract":"Geospatial data were exclusively generated by official agencies. However, following the technological revolution in data collection and production, various sources have emerged for the massive production of geospatial data, resulting the phenomenon of big geo-data. Therefore, dealing with large amounts of these data sets, results in a high velocity as they change very quickly, is a challenging task. Hence, analysis become more complex and computation become prohibitively expensive. As a result, spatial computing technologies become limited in front of these complex data and operations. Accordingly, we aimed to refine complexity with simplicity by replacing traditional geospatial models with referring to the simplest intelligent and minimum resource requirement algorithms that can be applied against these constraints, while ensuring the criteria of performance and scalability. In this work, we focus on the high-velocity of this big geo-data through the use of an iterative approach applied to a feature learning algorithms to decrease the memory consumption and the time complexity of traditional machine learning algorithms. According to our knowledge, although they were widely applied in the 19th century as a solution to overcome the problems of limitation of memory and computing resources. Iterative methods were still not used for the big geo-data analytics and generally for the big data domain. Thus, this approach could be beneficial especially for real time applications such as the anomaly monitoring and detection.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130742922","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

Third Party Session Control at the Network Edge 网络边缘的第三方会话控制

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144764

I. Atanasov, E. Pencheva, D. Velkova, V. Trifonov

引用次数: 1

The Case for Federated Identity Management in 5G Communications 5G通信中的联邦身份管理案例

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144855

Ed Kamya Kiyemba Edris, Mahdi Aiash, J. Loo

{"title":"The Case for Federated Identity Management in 5G Communications","authors":"Ed Kamya Kiyemba Edris, Mahdi Aiash, J. Loo","doi":"10.1109/FMEC49853.2020.9144855","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144855","url":null,"abstract":"The heterogeneous nature of fifth generation mobile network (5G) makes the access and provision of network services very difficult and raises security concerns. With multi-users and multi-operators, Service-Oriented Authentication (SOA) and authorization mechanisms are required to provide quick access and interaction between network services. The users require seamless access to services regardless of the domain, type of connectivity or security mechanism used. Hence a need for Identity and Access Management (IAM) mechanism to complement the improved user experience promised in 5G. Federated Identity Management (FIdM) a feature of IAM, can provide a user with use Single Sign On (SSO) to access services from multiple Service Providers (SP). This addresses security requirements such as authentication, authorization, and user's privacy from the end user perspectives, however 5G networks access lacks such solution. We propose a Network Service Federated Identity (NS-FId) model that address these security requirements and complements the 5G Service-Based Architecture (SBA). We present different scenarios and applications of the proposed model. We also discuss the benefits of identity management in 5G.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648921","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: 7

Towards Accelerating Intrusion Detection Operations at the Edge Network using FPGAs 基于fpga的边缘网络入侵检测提速研究

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144926

Y. Rebahi, Faruk Catal, Nikolay Tcholtchev, Laurenz Maedje, Omar Alkhateeb, Vinoth Kumar Elangovan, Dimitris Apostolakis

{"title":"Towards Accelerating Intrusion Detection Operations at the Edge Network using FPGAs","authors":"Y. Rebahi, Faruk Catal, Nikolay Tcholtchev, Laurenz Maedje, Omar Alkhateeb, Vinoth Kumar Elangovan, Dimitris Apostolakis","doi":"10.1109/FMEC49853.2020.9144926","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144926","url":null,"abstract":"In the current paper, we present our work towards accelerating intrusion detection operations at the edge network using FPGAs. Cloud computing and network function virtualization have led to a new appealing paradigm for service delivery and management. Unfortunately, this paradigm fails to correctly support IoT applications and services that seek better communication platforms. Security as a Service can also be seen as a cloud-based model that needs to be accommodated to fulfill these services requirements. Again, one of the main issues to be addressed in this context is how to improve the performance of such systems or services in order to make them capable of coping with the huge amount of data while remaining reliable. A potential solution is the FPGA based edge computing, which is a powerful combination offering FPGA acceleration capabilities together with edge and fog benefits. Indeed, our work focusses on devising an Intrusion Prevention architecture called FORTISEC (40SEC), that is meant to operate in a completely softwarized as well as in an FPGA mode. Thereby, we present suitable algorithms, design principles and well defined components towards the implementation of accelerated intrusion prevention on the edge. We also present a testbed being utilized for the implementation of 40SEC and its performance testing.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130450356","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

Implementation of an IoT based Pet Care System 基于物联网的宠物护理系统的实施

2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) Pub Date : 2020-04-01 DOI: 10.1109/FMEC49853.2020.9144910

Yixing Chen, M. Elshakankiri

{"title":"Implementation of an IoT based Pet Care System","authors":"Yixing Chen, M. Elshakankiri","doi":"10.1109/FMEC49853.2020.9144910","DOIUrl":"https://doi.org/10.1109/FMEC49853.2020.9144910","url":null,"abstract":"As pet ownership is soaring each year, the demands for a higher quality of pet care products are increasing as well. This has driven the development of the Internet of Things (IoT) technology in this field. Using the technology of IoT, pet owners can remotely track their pet's activity and location, monitor their pet's health condition or even interact with their pets. All these smart pet care products are playing an indispensable role in the pet owner's daily life. In the present project, we apply the IoT technology to implement an integrated system including pet food feeder, water dispenser, and litter box, which are the three most fundamental elements that pet owners will be concerned about when they are busy or away from their pets. The three subsystems are connected to the local network with Arduino Uno boards and Wi-Fi modules. Furthermore, the data collected from each sensor are processed and displayed on a smartphone application. Thus, pet owners through only one single interface, they can obtain all the information regarding pet's food consumption, water consumption, as well as defecation timing, duration, and frequency. Additionally, a controlling function is also enabled in the application for the pet owners to dispense food anytime and anywhere. An overall statistical chart with the mentioned values is presented in the application, updating from time to time. With this pet care system in a smartphone application, we provide pet owners an efficient, convenient and low-cost tool for pet care.","PeriodicalId":110283,"journal":{"name":"2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134310676","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: 13