Gustavo Vitral Arbex, Kétly Gonçalves Machado, M. N. Lima, D. Batista, R. Hirata
{"title":"IoT DDoS Detection Based on Stream Learning","authors":"Gustavo Vitral Arbex, Kétly Gonçalves Machado, M. N. Lima, D. Batista, R. Hirata","doi":"10.1109/NoF52522.2021.9609940","DOIUrl":"https://doi.org/10.1109/NoF52522.2021.9609940","url":null,"abstract":"The Internet of Things (IoT) represents a new reality, as smart devices spread quickly and a higher number of applications arises. This attracts the attention of not only legitimate users but also attackers aiming to jeopardize the entire IoT infrastructure. Intrusion detection mechanisms are paramount in this networking environment as its first line of defense. Hence, this work proposes a Network Intrusion Detection System (NIDS) that deals with the Distributed Denial of Service (DDoS) attack, one of the most critical attacks that occur through IoT. The proposed NIDS uses stream learning to detect DDoS attacks in the IoT network and is designed to be deployed in a fog infrastructure. The detection model, built on Hoeffding Anytime Tree (HATT) algorithm, achieved a 99% accuracy and a 99% recall.","PeriodicalId":314720,"journal":{"name":"2021 12th International Conference on Network of the Future (NoF)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125128847","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}
Saquib Amjad, Amir Varasteh, N. Deric, C. M. Machuca
{"title":"Delay-Aware Dynamic Hypervisor Placement and Reconfiguration in Virtualized SDN","authors":"Saquib Amjad, Amir Varasteh, N. Deric, C. M. Machuca","doi":"10.1109/NoF52522.2021.9609929","DOIUrl":"https://doi.org/10.1109/NoF52522.2021.9609929","url":null,"abstract":"Software defined networking (SDN) provides different functionality and resource sharing capabilities with the aid of virtualization. In virtualized SDN, multiple SDN tenants can bring their controllers and different functions in the same physical substrate. The SDN hypervisor provides the link between the physical network substrate and its SDN tenants. Distributed hypervisor architecture can handle scalability, virtualization, and reassignment better than a centralized hypervisor architecture. However, distributed hypervisors may require synchronization and load balancing. Due to the dynamic control plane traffic, some network elements may suffer from increase in delay. Controller placement problem (CPP) and hypervisor placement problem (HPP) have tackled the static placement and mapping strategies.In this paper, we design a dynamic hypervisor assignment and reconfiguration with load balancing using integer linear programming. The proposed model focuses on optimizing multiple objectives: control plane latency, processing latency, and load balancing for distributed hypervisors. We provide different heuristics for the model and then perform evaluation on two topologies- Abilene and EU-nobel. The results show the trade off between load balancing and minimizing latency, and comparison of the performance of heuristics and MILP model.","PeriodicalId":314720,"journal":{"name":"2021 12th International Conference on Network of the Future (NoF)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129699698","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}
J. Galán-Jiménez, Marco Polverini, F. Lavacca, Juan Luis Herrera, J. Berrocal
{"title":"On the tradeoff between load balancing and energy-efficiency in hybrid IP/SDN networks","authors":"J. Galán-Jiménez, Marco Polverini, F. Lavacca, Juan Luis Herrera, J. Berrocal","doi":"10.1109/NoF52522.2021.9609876","DOIUrl":"https://doi.org/10.1109/NoF52522.2021.9609876","url":null,"abstract":"The flexibility and programmability provided by the Software-Defined Networking (SDN) paradigm allow network operators to upgrade their legacy IP network infrastructures with the aim of improving their control over the network. However, the full migration from IP to SDN is not straightforward, at least, in the short term. Thus, transitory network infrastructures combining IP and SDN nodes (named hybrid IP/SDN networks) are required to coexist, while the correct coordination between paradigms is crucial to maintain the required Quality of Service. In this paper, two optimization problems that are normally solved separately due to their opposite nature: i) traffic load balancing and ii) the reduction of network power consumption, are jointly considered. In particular, an heuristic named Hybrid Spreading Load Algorithm (HSLA), is proposed to jointly minimize the Maximum Link Utilization (MLU) and the network power consumption during the transition from IP to SDN networks. Simulations over topologies of different size considering diverse selection methods for the replacement of the nodes reveal that HSLA outperforms other state-of-the-art approaches that specifically tackle only one objective, either the traffic load balancing or the reduction of the network power consumption.","PeriodicalId":314720,"journal":{"name":"2021 12th International Conference on Network of the Future (NoF)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116766949","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}
H. Ravuri, M. T. Vega, Jeroen van der Hooft, T. Wauters, F. Turck
{"title":"Demonstrator for Experimental Evaluation of Large-Scale Distributed SDN Deployments","authors":"H. Ravuri, M. T. Vega, Jeroen van der Hooft, T. Wauters, F. Turck","doi":"10.1109/NoF52522.2021.9609903","DOIUrl":"https://doi.org/10.1109/NoF52522.2021.9609903","url":null,"abstract":"The software-defined networking (SDN) paradigm has gained widespread popularity due to its ability to ease network management. However, the traditionally used centralized SDN architectures are restricted by scalability issues. To cope with these, several distributed alternatives have been proposed. The performance evaluation of such distributed solutions is limited to simulation-based methodologies, where virtualization technologies are used (e.g., virtual machines (VMs) and containers to distribute the control plane). In this context, large-scale testbeds offer a platform to validate the applicability of an architecture to real-world network conditions. The Virtual Wall is one such large-scale generic experimentation facility for advanced networking research and testing. This work proposes a demonstrator for large-scale distributed SDN deployment using the Virtual Wall. It provides a thorough description of the steps involved to deploy experiments, by evaluating the scalability of a hierarchically distributed control plane.","PeriodicalId":314720,"journal":{"name":"2021 12th International Conference on Network of the Future (NoF)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114921956","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}
{"title":"AppSlice: A system for application-centric design of 5G and edge computing applications","authors":"M. Sankaradass, Kunal Rao, S. Chakradhar","doi":"10.1109/NoF52522.2021.9609821","DOIUrl":"https://doi.org/10.1109/NoF52522.2021.9609821","url":null,"abstract":"Applications that use edge computing and 5G to improve response times consume both compute and network resources. However, 5G networks manage only network resources without considering the application’s compute requirements, and container orchestration frameworks manage only compute resources without considering the application’s network requirements. We observe that there is a complex coupling between an application’s compute and network usage, which can be leveraged to improve application performance and resource utilization. We propose a new, declarative abstraction called app slice that jointly considers the application’s compute and network requirements. This abstraction leverages container management systems to manage edge computing resources, and 5G network stacks to manage network resources, while the joint consideration of coupling between compute and network usage is explicitly managed by a new runtime system, which delivers the declarative semantics of the app slice. The runtime system also jointly manages the edge compute and network resource usage automatically across different edge computing environments and 5G networks by using two adaptive algorithms. We implement a complex, real-world, real-time monitoring application using the proposed app slice abstraction, and demonstrate on a private 5G/LTE testbed that the proposed runtime system significantly improves the application performance and resource usage when compared with the case where the coupling between the compute and network resource usage is ignored.","PeriodicalId":314720,"journal":{"name":"2021 12th International Conference on Network of the Future (NoF)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131451032","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}