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Automated DDOS attack detection in software defined networking

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS 2021年 187卷 103108-103108页

作者： Ahuja, Nisha Singal, Gaurav Mukhopadhyay, Debajyoti Kumar, Neeraj Bennett Univ SEAS Dept Comp Sci Engn Greater Noida India Thapar Inst Engn & Technol Patiala Punjab India Asia Univ Dept Comp Sci & Informat Engn Taichung Taiwan King Abdulaziz Univ Jeddah Saudi Arabia Univ Petr & Energy Studies Sch Comp Sci Dehra Dun Uttarakhand India

software-defined networking (SDN) is a networking paradigm that has redefined the term network by making the network devices programmable. SDN helps network engineers to monitor the network expeditely, control the network from a central point, identify malicious traffic and link failure in easy and efficient manner. Besides such flexibility provided by SDN, it is also vulnerable to attacks such as DDoS which can halt the complete network. To mitigate this attack, the paper proposes to classify the benign traffic from DDoS attack traffic by using machine learning technique. The major contribution of this paper is identification of novel features for DDoS attack detections. Novel features are logged into CSV file to create the dataset and machine learning algorithms are trained on the created SDN dataset. Various work which has already been done for DDoS attack detection either used a non-SDN dataset or the research data is not made public. A novel hybrid machine learning model is utilized to perform the classification. Results show that the hybrid model of Support Vector classifier with Random Forest (SVC-RF) classifies the traffic with the highest testing accuracy of 98.8% with a very low false alarm rate.

关键词： Machine learning software-defined-networking DDOS Attack detection Traffic protocol SDN Traffic classification Mininet

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Leveraging software-defined-networking for Energy Optimisation in Mobile-Cloud-Computing

Leveraging Software-Defined-Networking for Energy Optimisati...

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11th International Conference on Future Networks and Communications (FNC) / 13th International Conference on Mobile Systems and Pervasive Computing (MobiSPC)

作者： Benkhelifa, Elhadj Welsh, Thomas Tawalbeh, Loai Jararweh, Yaser Al-Ayyoub, Mahmoud Staffordshire Univ Mobile Fus Appl Res Ctr Stafford Stafford England Univ Umm Al Qura Al Awali Mecca Saudi Arabia Jordan Univ Sci & Technol Irbid Jordan

Both mobile and cloud computing are two areas which are rapidly expanding in terms of use case and functionality. Whilst mobile computing enables a variety of feature rich functionality for users in a non-fixed location, cloud computing is revolutionising the way in which computing resources are being provisioned, used and optimised for both service providers and end users. These two fields are being combined in order to provide greater functionality for mobile devices by off loading resources to the cloud. However, the advantages of this only hold true if the device resources are truly optimised. This paper examines the effect of network simulation on understanding methods for optimising device life and suggests a number of ways in which software-defined-networking (SDN) may be leveraged in order to determine the exact nature of optimisations available through this combination. (C) 2016 Published by Elsevier B.V.

关键词： Mobile-Cloud-Computing software-defined-networking Energy Simulation

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Leveraging software-defined-networking for Energy Optimisation in Mobile-Cloud-Computing

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Procedia Computer Science 2016年 94卷 479-484页

作者： Elhadj Benkhelifa Thomas Welsh Loai Tawalbeh Yaser Jararweh Mahmoud Al-Ayyoub Mobile Fusion Applied Research Centre Staffordshire University Beaconside Stafford UK University of Umm Al-Qura KSA Jordan University of Science and Technology Jordan

Both mobile and cloud computing are two areas which are rapidly expanding in terms of use case and functionality. Whilst mobile computing enables a variety of feature rich functionality for users in a non-fixed location, cloud computing is revolu-tionising the way in which computing resources are being provisioned, used and optimised for both service providers and end users. These two fields are being combined in order to provide greater functionality for mobile devices by off loading resources to the cloud. However, the advantages of this only hold true if the device resources are truly optimised. This paper examines the effect of network simulation on understanding methods for optimising device life and suggests a number of ways in which software-defined-networking (SDN) may be leveraged in order to determine the exact nature of optimisations available through this combination.

关键词： Mobile-Cloud-Computing software-defined-networking Energy Simulation

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Wildcard Rules Caching and Cache Replacement Algorithms in software-defined networking

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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2016年第1期13卷 19-29页

作者： Sheu, Jang-Ping Chuo, Yen-Cheng Natl Tsing Hua Univ Dept Comp Sci Hsinchu 30013 Taiwan

In software-defined networking, flow tables of OpenFlow switches are implemented by ternary content addressable memory (TCAM). Although TCAM can process input packets in high speed, it is a scarce and expensive resource providing only a few thousands of rule entries on a network switch. Rules caching is a technique to solve the TCAM capacity problem. However, the rule dependency problem is a challenging issue for wildcard rules caching where packets can mismatch rules. In this paper, we use a cover-set approach to solve the rule dependency problem and cache important rules to TCAM. We also propose a rule cache replacement algorithm considering the temporal and spatial traffic localities. Simulation results show that our algorithms have better cache hit ratio than previous works.

关键词： software-defined-networking TCAM rule dependency problem wildcard rules caching algorithm cache replacement algorithm

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Reactive Logic in software-defined networking: Measuring Flow-Table Requirements 10

Reactive Logic in Software-Defined Networking: Measuring Flo...

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10th International Wireless Communications & Mobile Computing Conference (IWCMC)

作者： Dusi, Maurizio Bifulco, Roberto Gringolit, Francesco Schneider, Fabian NEC Labs Europe Heidelberg Germany Univ Brescia CNIT I-25121 Brescia Italy

ISBN: (纸本)9781479909599

The capability of a network is ultimately bounded by limitations of the devices that compose it. In this paper we argue that software-defined networking (SDN) can increase the importance of certain limitations, such as the size and the flexibility of switches forwarding tables. In particular we focus on the implications of reactive installation of flow entries in the switch fabric: by analyzing traffic traces captured in different scenarios we show the existence of a trade-off between the size of the flow table and the rate of dynamic installation of a missing or expired rule. We leverage on this finding to further show that reactive flow (re-) configuration is a promising mechanism for improving the traffic engineering flexibility with no additional requirement in terms of flow table size. We examine links located in various parts of the network and we consider different flow definitions to evaluate the feasibility of using SDN controllers in both access and core network scenarios.

关键词： Network communications software-defined-networking network measurements

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Deep Learning Empowered Traffic Offloading in Intelligent software defined Cellular V2X Networks

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2020年第11期69卷 13328-13340页

作者： Fan, Bo He, Zhengbing Wu, Yuan He, Jia Chen, Yanyan Jiang, Li Beijing Univ Technol Beijing Key Lab Traff Engn Coll MetropolitanTransportat Beijing 100124 Peoples R China Univ Macau State Key Lab Internet Things Smart City Macau 999078 Peoples R China Univ Macau Dept Comp & Informat Sci Macau 999078 Peoples R China Guangdong Univ Technol Sch Automat Guangdong Key Lab IoT Informat Technol Guangzhou 510006 Peoples R China Guangdong HongKong Macao Joint Lab Smart Discrete Guangzhou 510006 Peoples R China

The ever-increasing and unbalanced traffic load in cellular vehicle-to-everything (C-V2X) networks have increased the network congestion and led to user dissatisfaction. To relieve the network congestion and improve the traffic load balance, in this paper, we propose an intelligent software defined C-V2X network framework to enable flexible and low-complexity traffic offloading by decoupling the network data plane from the control plane. In the data plane, the cellular traffic offloading and the vehicle assisted traffic offloading are jointly performed. In the control plane, deep learning is deployed to reduce the software defined network (SDN) control complexity and improve the traffic offloading efficiency. Under the proposed framework, we investigate the traffic offloading problem, which can be formulated as a multi-objective optimization problem. Specifically, the first objective maximizes the cellular access point (AP) throughput with consideration of the load balance by associating the users with the APs. The second objective maximizes the vehicle throughput with consideration of the vehicle trajectory by associating the delay-insensitive users with the vehicles. The two objectives are coupled by the association between the cellular APs and the vehicles. A deep learning based online-offline approach is proposed to solve the multi-objective optimization problem. The online stage decouples the optimization problem into two sub-problems and utilizes the 'Pareto optimal' to find the solutions. The offline stage utilizes deep learning to learn from the historical optimization information of the online stage and helps predict the optimal solutions with reduced complexity. Numerical results are provided to validate the advantages of our proposed traffic offloading approach via deep learning in C-V2X networks.

关键词： Machine learning Optimization software Computer architecture Complexity theory Quality of service Throughput C-V2X networks deep learning software-defined-networking traffic offloading

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Application-Aware Firewall Mechanism for software defined Networks

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JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT 2020年第3期28卷 605-626页

作者： Nife, Fahad N. Kotulski, Zbigniew Warsaw Univ Technol Software Defined Networking Warsaw Poland Warsaw Univ Technol Fac Elect & Informat Technol Div Cybersecur Warsaw Poland Al Muthanna Univ Muthanna Iraq

software-defined-networking (SDN) has been recently arising as a new technology in the IT industry. It is a network architecture that hopes to provide better solutions to most of the constraints in contemporary networks. SDN is a centralized control architecture for networking in which the control plane is separated from the data plane, the network services are abstracted from the underlying forwarding devices, and the network's intelligence is centralized in a software-based directly-programmed device called a controller. These features of SDN provide more flexible, programmable and innovative network's architecture. However, they may pose new vulnerabilities and may lead to new security problems. In this paper, we propose the application-aware firewall mechanism for SDN, which can be implemented as an extension to the network's controller. In order to provide more control and visibility in applications running over the network, the system is able to detect network applications that may at some point affect network's performance, and it is capable to dynamically enforce constraint rules on applications. The firewall architecture is designed as four cooperating modules: the Main Module, the Filtering Module, the Application Identification Module, and the Security-Enforcement Module. The proposed mechanism checks the network traffic at the network, transport, and application levels, and installs appropriate security instructions down into the network. The proposed solution features were implemented and tested using a Python-based POX controller, and the network topology was built using Mininet emulation tool.

关键词： software-defined-networking Application-Aware Firewall Packet Filtering OpenFlow Protocol

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Network Resource Management in Infrastructure-as-a-Service Clouds

Network Resource Management in Infrastructure-as-a-Service C...

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作者： Heli Amarasinghe University of Ottawa

学位级别：博士

Cloud Infrastructure-as-a-Service (IaaS) is a form of utility computing which has emerged with the recent innovations in the service computing and data communication technolo- gies. Regardless of the fact that IaaS is attractive for application service providers, satisfying user requests while ensuring cloud operational objectives is a complicated task that raises several resource management challenges. Among these challenges, limited controllability over network services delivered to cloud consumers is prominent in single datacenter cloud environments. In addition, the lack of seamless service migration and optimization, poor infrastructure utilization, and unavailability of efficient fault tolerant techniques are noteworthy challenges in geographically distributed datacenter clouds. Initially in this thesis, a datacenter resource management framework is presented to address the challenge of limited controllability over cloud network traffic. The proposed framework integrates network virtualization functionalities offered by software defined networking (SDN) into cloud ecosystem. To provide rich traffic control features to IaaS consumers, control plane virtualization capabilities offered by SDN have been employed. Secondly, a quality of service (QoS) aware seamless service migration and optimization framework has been proposed in the context of geo-distributed datacenters. Focus has been given to a mobile end-user scenario where frequent cloud service migrations are required to mitigate QoS violations. Finally, an SDN-based dynamic fault restoration scheme and a shared backup-based fault protection scheme have been proposed. The fault restoration has been achieved by introducing QoS-aware reactive and shared risk link group-aware proactive path computation algorithms. Shared backup protection has been achieved by optimizing virtual and backup link embedding through a novel integer linear programming approach. The proposed solutions significantly improve bandwidth u

关键词： Cloud Computing Composition Infrastructure-as-a-Service Network virtualization Resource Management software-defined-networking Mobile Clouds Networked cloud infrastructure OpenFlow Protection Restoration Resource allocation Shared backup Survivable virtual network embedding Traffic-engineering

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Impact of SDN on Optical Router Bypass

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JOURNAL OF OPTICAL COMMUNICATIONS AND networking 2018年第4期10卷 332-343页

作者： Ghonaim, Fahad A. Darcie, Thomas E. Ganti, Sudhakar Univ Victoria Elect & Comp Engn Dept Victoria BC V8P 5C2 Canada Univ Victoria Comp Sci Dept Victoria BC V8P 5C2 Canada

Internet traffic is growing rapidly, driven by new applications such as the Internet of things (IoT). To overcome router scaling limitations, router bypass has been introduced. Traditional bypass is based on provisioning fixed-size bypass channels, which was shown to underutilize link capacity. In software defined networking (SDN), router bypass can be requested as a service by the application layer. This study explores the opportunity to bypass routers efficiently without the link underutilization of the traditional bypass. We combine SDN and dynamic layer provisioning to implement dynamic router bypassing and show how this leads to improved efficiency. A simulation built to compare the traditional bypass with the SDN-based bypass showed that SDN-based bypassing enhanced efficiency by 33%. When bypass traffic is increased, we show that the output capacity of a node increases up to 56%, limited by optical capacity rather than router capacity.

关键词： Cross layer communication Green networks Multilayer-switching Optical bypass Optical transport Router bypass software-defined-networking SDN

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An OpenFlow Architecture for Managing Content-Centric-Network (OFAM-CCN) based on popularity caching strategy

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COMPUTER STANDARDS & INTERFACES 2017年 51卷 22-29页

作者： Jmal, Rihab Fourati, Lamia Chaari Natl Sch Engn LETI Lab Sfax Tunisia

software-defined-networking (SDN) and Content-Centric-networking (CCN) are gathering an important consideration from academic world and manufacturing. They are perceived as a big opportunity for future Internet. In order to innovate and optimize network resources, the integration of CCN functionalities with OpenFlow architecture presents an attractive deal. However, there are deployment issues requiring a gradual approach to achieve these goals. The current specifications implementing CCN over OpenFlow have not been inspected sufficiently, although the conceptual design was investigated. This paper introduces OFAM-CCN, a new OpenFlow Architecture for Managing CCN to improve this process through new modifications based on Popularity Caching Strategy taking into account caching as a fundamental principle of CCN.

关键词： software-defined-networking Content-Centric networking OpenFlow Caching Popularity

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