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A secure and high-performance multi-controller architecture for software-defined networking

Frontiers of Information Technology & Electronic Engineering 2016年第7期17卷 634-646页

作者： Huan-zhao WANG Peng ZHANG Lei XIONG Xin LIU Cheng-chen HU Department of Computer Science and Technology Xi'an Jiaotong UniversityXi'an 710059China Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory Shijiazhuang 050081China MOE Key Laboratory for Intelligent Networks and Network Security Xi'an Jiaotong UniversityXi'an 710049China

controllers play a critical role in software-defined networking(SDN).However,existing singlecontroller SDN architectures are vulnerable to single-point failures,where a controller's capacity can be saturated by flooded flow *** addition,due to the complicated interactions between applications and controllers,the flow setup latency is relatively *** address the above security and performance issues of current SDN controllers,we propose distributed rule store(DRS),a new multi-controller architecture for *** DRS,the controller caches the flow rules calculated by applications,and distributes these rules to multiple controller *** controller instance holds only a subset of all rules,and periodically checks the consistency of flow rules with each *** from switches are distributed among multiple controllers,in order to mitigate controller capacity saturation *** the same time,when rules at one controller are maliciously modified,they can be detected and recovered in *** implement DRS based on Floodlight and evaluate it with extensive *** results show that DRS can effectively maintain a consistently distributed rule store,and at the same time can achieve a shorter flow setup time and a higher processing throughput,compared with ONOS and Floodlight.

关键词： Software-defined networking(SDN) Security multi-controller Distributed rule store

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An Aware-Scheduling Security Architecture with Priority-Equal multi-controller for SDN

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China Communications 2017年第9期14卷 144-154页

作者： Chao Qi Jiangxing Wu Guozhen Cheng Jianjian Ai Shuo Zhao National Digital Switching System Engineering & Technological R&D Center

Current SDN controllers suffer from a series of potential attacks. For example, malicious flow rules may lead to system disorder by introducing unexpected flow entries. In this paper, we propose Mcad-SA, an aware decision-making security architecture with multiple controllers, which could coordinate heterogeneous controllers internally as a "big" controller. This architecture includes an additional plane, the scheduling plane, which consists of transponder, sensor, decider and scheduler. Meanwhile it achieves the functions of communicating, supervising and scheduling between data and control plane. In this framework, we adopt the vote results from the majority of controllers to determine valid flow rules distributed to switches. Besides, an aware dynamic scheduling(ADS) mechanism is devised in scheduler to intensify security of Mcad-SA further. Combined with perception, ADS takes advantage of heterogeneity and redundancy of controllers to enable the control plane operate in a dynamic, reliable and unsteady state, which results in significant difficulty of probing systems and executing attacks. Simulation results demonstrate the proposed methods indicate better security resilience over traditional architectures as they have lower failure probability when facing attacks.

关键词： multi-controller security architec-ture aware scheduling

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A Dormant multi-controller Model for Software Defined Networking

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China Communications 2014年第3期11卷 45-55页

作者： FU Yonghong BI Jun WU Jianping CHEN Ze WANG Ke LUO Min Institute for Network Sciences and Cyberspace Tsinghua University Beijing 100084 China Department of Computer Science Tsinghua University Beijing 100084 China Tsinghua National Laboratory for Information Science and Technology (TNList) Beijing 100084 China Department of Electronic Engineering Tsinghua University Beijing 100084 China Shannon Lab Huawei Technologies Company Santa Clara 950950 USA

In order to improve the scalability and reliability of Software Defined Networking(SDN),many studies use multiple controllers to constitute logically centralized control plane to provide load balancing and fail *** this paper,we develop a flexible dormant multi-controller model based on the centralized multi-controller *** dormant multi-controller model allows part of controllers to enter the dormant state under light traffic condition for saving system ***,through queueing analysis,various performance measures of the system can be ***,we analyze the real traffic of China Education Network and use the results as the parameters of computer simulation and verify the effects of parameters on the system ***,a total expected cost function is established,and genetic algorithm is employed to find the optimal values of various parameters to minimize system cost for the deployment decision making.

关键词： Software Defined Networking multi-controller queueing theory performanceevaluation

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RMCARTAM For DDoS Attack Mitigation in SDN Using Machine Learning

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Computer Systems Science & Engineering 2023年第6期45卷 3023-3036页

作者： M.Revathi V.V.Ramalingam B.Amutha Department of Computing Technologies SRM Institute of Science and TechnologyKattankulathurChennai603203Tamil NaduIndia

The impact of a Distributed Denial of Service(DDoS)attack on Soft-ware Defined Networks(SDN)is briefly *** approaches to detecting DDoS attacks exist,varying on the feature being considered and the method ***,the methods have a deficiency in the performance of detecting DDoS attacks and mitigating *** improve the performance of SDN,an efficient Real-time multi-Constrained Adaptive Replication and Traffic Approximation Model(RMCARTAM)is sketched in this *** RMCARTAM considers different parameters or constraints in running different controllers responsible for handling incoming *** model is designed with multiple controllers to handle net-work traffic but can turn the controllers according to *** multi-con-straint adaptive replication model monitors different features of network traffic like rate of packet reception,class-based packet reception and target-specific *** to these features,the method estimates the Replication Turn-ing Weight(RTW)based on which triggering controllers are ***,the method applies Traffic Approximation(TA)in the detection of DDoS *** detection of a DDoS attack is performed by approximating the incoming traf-fic to any service and using various features like hop count,payload,service fre-quency,and malformed frequency to compute various support measures on bandwidth access,data support,frequency support,malformed support,route sup-port,and so *** all these support measures,the method computes the value of legitimate weight to conclude the behavior of any source in identifying the mal-icious *** node details are used in the mitigation of DDoS *** method stimulates the network performance by reducing the power factor by switching the controller according to different factors,which also reduces the *** the same way,the proposed model improves the accuracy of detecting DDoS attacks by estimating the features of incoming traffic in

关键词： DDoS SDN traffic approximation adaptive replication multi-controller support measures RTW

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