Towards security automation in Software Defined Networks

[1]  Una-May O'Reilly,et al.  Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network , 2019, 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).

[2]  Subhasri Duttagupta,et al.  VARMAN: Multi-plane security framework for software defined networks , 2019, Comput. Commun..

[3]  K. D. Joshi,et al.  pSMART: A lightweight, privacy-aware service function chain orchestration in multi-domain NFV/SDN , 2020, Comput. Networks.

[4]  Carlos Pignataro,et al.  Service Function Chaining (SFC) Architecture , 2015, RFC.

[5]  Young-Sik Jeong,et al.  DistBlockNet: A Distributed Blockchains-Based Secure SDN Architecture for IoT Networks , 2017, IEEE Communications Magazine.

[6]  Xiaojiang Du,et al.  A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks , 2020, IEEE Internet of Things Journal.

[7]  Gwoboa Horng,et al.  Adversarial Attacks on SDN-Based Deep Learning IDS System , 2018, Lecture Notes in Electrical Engineering.

[8]  Arwa Alrawais,et al.  FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks , 2020, IEEE Internet of Things Journal.

[9]  Mathieu Bouet,et al.  Statesec: Stateful monitoring for DDoS protection in software defined networks , 2017, 2017 IEEE Conference on Network Softwarization (NetSoft).

[10]  Carla Purdy,et al.  Toward an Online Anomaly Intrusion Detection System Based on Deep Learning , 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

[11]  Timo Hämäläinen,et al.  Reinforcement Learning for Attack Mitigation in SDN-enabled Networks , 2020, 2020 6th IEEE Conference on Network Softwarization (NetSoft).

[12]  Ya Xiao,et al.  Discovery method for distributed denial-of-service attack behavior in SDNs using a feature-pattern graph model , 2019, Frontiers of Information Technology & Electronic Engineering.

[13]  Danda B. Rawat,et al.  Fusion of Software Defined Networking, Edge Computing, and Blockchain Technology for Wireless Network Virtualization , 2019, IEEE Communications Magazine.

[14]  Jianping Wu,et al.  Poseidon: Mitigating Volumetric DDoS Attacks with Programmable Switches , 2020, NDSS.

[15]  Juan Felipe Botero,et al.  Security in SDN: A comprehensive survey , 2020, J. Netw. Comput. Appl..

[16]  Joel J. P. C. Rodrigues,et al.  Hybrid Deep-Learning-Based Anomaly Detection Scheme for Suspicious Flow Detection in SDN: A Social Multimedia Perspective , 2019, IEEE Transactions on Multimedia.

[17]  Ángel Martín del Rey,et al.  A New Proposal on the Advanced Persistent Threat: A Survey , 2020, Applied Sciences.

[18]  Yogita Hande,et al.  A Survey on Intrusion Detection System for Software Defined Networks (SDN) , 2020, Int. J. Bus. Data Commun. Netw..

[19]  Jintao Li,et al.  Data-driven software defined network attack detection : State-of-the-art and perspectives , 2020, Inf. Sci..

[20]  Haijun Zhang,et al.  Software Defined 5G and 6G Networks: a Survey , 2019, Mobile Networks and Applications.

[21]  E. Golden Julie,et al.  Detection of DDoS Attack Using SDN in IoT: A Survey , 2019, Intelligent Communication Technologies and Virtual Mobile Networks.

[22]  Mauro Conti,et al.  Security and design requirements for software-defined VANETs , 2020, Comput. Networks.

[23]  David K. Y. Yau,et al.  Realtime DDoS Defense Using COTS SDN Switches via Adaptive Correlation Analysis , 2018, IEEE Transactions on Information Forensics and Security.

[24]  Ahmad Y. Javaid,et al.  A Deep Learning Based DDoS Detection System in Software-Defined Networking (SDN) , 2016, EAI Endorsed Trans. Security Safety.

[25]  Anthony T. Chronopoulos,et al.  Software-Defined Cloud Computing: A Systematic Review on Latest Trends and Developments , 2019, IEEE Access.

[26]  Sailik Sengupta,et al.  A Survey of Moving Target Defenses for Network Security , 2019, IEEE Communications Surveys & Tutorials.

[27]  Jie Cui,et al.  DDoS detection and defense mechanism based on cognitive-inspired computing in SDN , 2019, Future Gener. Comput. Syst..

[28]  Yang Yu,et al.  Fast Detection of Heavy Hitters in Software Defined Networking Using an Adaptive and Learning Method , 2018, ICCCS.

[29]  Matheus P. Novaes,et al.  Fast Defense System Against Attacks in Software Defined Networks , 2018, IEEE Access.

[30]  Adam Doupé,et al.  Challenges and Preparedness of SDN-based Firewalls , 2018, SDN-NFV@CODASPY.

[31]  Hongxin Hu,et al.  CHAOS: an SDN-based Moving Target Defense System , 2017, Secur. Commun. Networks.

[32]  Ehab Al-Shaer,et al.  Agile virtualized infrastructure to proactively defend against cyber attacks , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[33]  Nikos Fotiou,et al.  Enhancing Internet of Things Security using Software-Defined Networking , 2020, J. Syst. Archit..

[34]  Zhixin Sun,et al.  A Detection Method for Anomaly Flow in Software Defined Network , 2018, IEEE Access.

[35]  Raouf Boutaba,et al.  Machine Learning for Cognitive Network Management , 2018, IEEE Communications Magazine.

[36]  Qi Shi,et al.  A Deep Learning Approach to Network Intrusion Detection , 2018, IEEE Transactions on Emerging Topics in Computational Intelligence.

[37]  Wentao Wang,et al.  A HMM-R Approach to Detect L-DDoS Attack Adaptively on SDN Controller , 2018, Future Internet.

[38]  Shashank Srivastava,et al.  Research Trends in Security and DDoS in SDN , 2016, Secur. Commun. Networks.

[39]  Marwa Qaraqe,et al.  Applications of Artificial Intelligence and Machine Learning in the Area of SDN and NFV: A Survey , 2019, 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD).

[40]  Vinay Bhatia,et al.  Distributed Denial Of Service(DDoS) Mitigation in Software Defined Network using Blockchain , 2019, 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).

[41]  Narendran Rajagopalan,et al.  A novel deep learning model for detection of denial of service attacks in HTTP traffic over internet , 2020, Int. J. Ad Hoc Ubiquitous Comput..

[42]  Mariusz Rawski,et al.  Network Topology Mutation as Moving Target Defense for Corporate Networks , 2019 .

[43]  Lisandro Zambenedetti Granville,et al.  Using NFV and Reinforcement Learning for Anomalies Detection and Mitigation in SDN , 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

[44]  Qi Zhao,et al.  A decoy chain deployment method based on SDN and NFV against penetration attack , 2017, PloS one.

[45]  Reza M. Parizi,et al.  P4-to-blockchain: A secure blockchain-enabled packet parser for software defined networking , 2020, Comput. Secur..

[46]  Mahamod Ismail,et al.  A Comprehensive Survey: Benefits, Services, Recent Works, Challenges, Security, and Use Cases for SDN-VANET , 2020, IEEE Access.

[47]  Dijiang Huang,et al.  A Survey on Advanced Persistent Threats: Techniques, Solutions, Challenges, and Research Opportunities , 2019, IEEE Communications Surveys & Tutorials.

[48]  Fatih Alagöz,et al.  Defense Mechanisms against DDoS Attacks in SDN Environment , 2017, IEEE Communications Magazine.

[49]  Yun Tian,et al.  FlowSec: DOS Attack Mitigation Strategy on SDN Controller , 2016, 2016 IEEE International Conference on Networking, Architecture and Storage (NAS).

[50]  Zhiqiang Liu,et al.  Towards Blockchain-Based Software-Defined Networking: Security Challenges and Solutions , 2020, IEICE Trans. Inf. Syst..

[51]  Tarik Taleb,et al.  A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems , 2019, IEEE Communications Surveys & Tutorials.

[52]  Nick McKeown,et al.  OpenFlow: enabling innovation in campus networks , 2008, CCRV.

[53]  Irina Gudkova,et al.  Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain , 2019, J. Sens. Actuator Networks.

[54]  F. Richard Yu,et al.  A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges , 2019, IEEE Communications Surveys & Tutorials.

[55]  Naveen Naik Sapavath,et al.  Performance evaluation of deception system for deceiving cyber adversaries in adaptive virtualized wireless networks , 2019, SEC.

[56]  Mauro Conti,et al.  LineSwitch: Tackling Control Plane Saturation Attacks in Software-Defined Networking , 2017, IEEE/ACM Transactions on Networking.

[57]  Christopher Leckie,et al.  Reinforcement Learning for Autonomous Defence in Software-Defined Networking , 2018, GameSec.

[58]  Ali Ghaffari,et al.  A survey and classification of the security anomaly detection mechanisms in software defined networks , 2020, Cluster Computing.

[59]  Mayank Dave,et al.  Software-defined Networking-based DDoS Defense Mechanisms , 2019, ACM Comput. Surv..

[60]  Partha Pratim Ray,et al.  SDN/NFV architectures for edge-cloud oriented IoT: A systematic review , 2021, Computer Communications.

[61]  Naveen K. Chilamkurti,et al.  Survey on SDN based network intrusion detection system using machine learning approaches , 2018, Peer-to-Peer Networking and Applications.

[62]  Kemal Akkaya,et al.  A moving target defense and network forensics framework for ISP networks using SDN and NFV , 2019, Future Gener. Comput. Syst..

[63]  Taufik Abrão,et al.  Wavelet against random forest for anomaly mitigation in software-defined networking , 2019, Appl. Soft Comput..

[64]  Jin Wei,et al.  Blockchain-Powered Software Defined Network-Enabled Networking Infrastructure for Cloud Management , 2020, 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC).

[65]  Xinchang Zhang,et al.  A Survey of Networking Applications Applying the Software Defined Networking Concept Based on Machine Learning , 2019, IEEE Access.

[66]  Vinod Yegneswaran,et al.  Athena: A Framework for Scalable Anomaly Detection in Software-Defined Networks , 2017, 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

[67]  Sakir Sezer,et al.  A Survey of Security in Software Defined Networks , 2016, IEEE Communications Surveys & Tutorials.

[68]  Ahmed Meddahi,et al.  Footprints: Ensuring Trusted Service Function Chaining in the World of SDN and NFV , 2019, SecureComm.

[69]  Mauro Conti,et al.  MimePot: a Model-based Honeypot for Industrial Control Networks , 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

[70]  Georgios Xilouris,et al.  SHIELD: A novel NFV-based cybersecurity framework , 2017, 2017 IEEE Conference on Network Softwarization (NetSoft).

[71]  Andrew Hines,et al.  5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges , 2019, Comput. Networks.

[72]  Bibhudatta Sahoo,et al.  Toward secure software-defined networks against distributed denial of service attack , 2019, The Journal of Supercomputing.

[73]  Mohamed Azab,et al.  Towards Blockchain-based Multi-controller Managed Switching for Trustworthy SDN Operation , 2019, 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

[74]  Kim-Kwang Raymond Choo,et al.  Security, Privacy, and Anonymity in Computation, Communication, and Storage , 2017, Lecture Notes in Computer Science.

[75]  Basil S. Maglaris,et al.  Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environments , 2014, Comput. Networks.

[76]  Kun Cao,et al.  A Survey of Deployment Solutions and Optimization Strategies for Hybrid SDN Networks , 2019, IEEE Communications Surveys & Tutorials.

[77]  Hui Yang,et al.  PPB: a Path-based Packet Batcher to Accelerate Vector Packet Processor , 2020, 2020 15th International Conference on Computer Science & Education (ICCSE).

[78]  Nathaniel Soule,et al.  Enabling defensive deception in distributed system environments , 2016, 2016 Resilience Week (RWS).

[79]  Mehmet Demirci,et al.  SDN-based cyber defense: A survey , 2021, Future Gener. Comput. Syst..

[80]  Rui Wang,et al.  An Entropy-Based Distributed DDoS Detection Mechanism in Software-Defined Networking , 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

[81]  Amiya Nayak,et al.  An improved network security situation assessment approach in software defined networks , 2019, Peer-to-Peer Netw. Appl..

[82]  Jinshu Su,et al.  OverWatch: A Cross-Plane DDoS Attack Defense Framework with Collaborative Intelligence in SDN , 2018, Secur. Commun. Networks.

[83]  Neeraj Kumar,et al.  A taxonomy of blockchain-enabled softwarization for secure UAV network , 2020, Comput. Commun..

[84]  Sinchai Kamolphiwong,et al.  Advanced Support Vector Machine- (ASVM-) Based Detection for Distributed Denial of Service (DDoS) Attack on Software Defined Networking (SDN) , 2019, J. Comput. Networks Commun..

[85]  Saeed Sharifian,et al.  A modified knowledge-based ant colony algorithm for virtual machine placement and simultaneous routing of NFV in distributed cloud architecture , 2019, The Journal of Supercomputing.

[86]  Shuwen Zhang,et al.  Game Theory Based Dynamic Defense Mechanism for SDN , 2019, ML4CS.

[87]  Taufik Abrao,et al.  A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks , 2017, IEEE Access.

[88]  Joanna Domanska,et al.  Self-Aware Networks That Optimize Security, QoS, and Energy , 2020, Proceedings of the IEEE.

[89]  Taieb Znati,et al.  A Long Short-Term Memory Enabled Framework for DDoS Detection , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

[90]  Leonardo Linguaglossa,et al.  High-speed data plane and network functions virtualization by vectorizing packet processing , 2019, Comput. Networks.

[91]  Akbar Siami Namin,et al.  A Survey on the Moving Target Defense Strategies: An Architectural Perspective , 2019, Journal of Computer Science and Technology.

[92]  Ehab Al-Shaer,et al.  Adversary-aware IP address randomization for proactive agility against sophisticated attackers , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[93]  Mohsen Guizani,et al.  Privacy-Preserving DDoS Attack Detection Using Cross-Domain Traffic in Software Defined Networks , 2018, IEEE Journal on Selected Areas in Communications.

[94]  Majd Latah,et al.  Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview , 2018, IET Networks.

[95]  Vassilios G. Vassilakis,et al.  Ransomware detection and mitigation using software-defined networking: The case of WannaCry , 2019, Comput. Electr. Eng..

[96]  Sandra Scott-Hayward,et al.  Tennison: A Distributed SDN Framework for Scalable Network Security , 2018, IEEE Journal on Selected Areas in Communications.

[97]  Raul Muñoz,et al.  Improving Security in Internet of Things with Software Defined Networking , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[98]  Ehab Al-Shaer,et al.  Formal Approach for Route Agility against Persistent Attackers , 2013, ESORICS.

[99]  Mauro Conti,et al.  Lightweight solutions to counter DDoS attacks in software defined networking , 2019, Wirel. Networks.

[100]  Jianhua Li,et al.  Deep Reinforcement Learning based Smart Mitigation of DDoS Flooding in Software-Defined Networks , 2018, 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[101]  Ali A. Ghorbani,et al.  Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy , 2019, 2019 International Carnahan Conference on Security Technology (ICCST).

[102]  Shridatt Sugrim,et al.  Measuring the Effectiveness of Network Deception , 2018, 2018 IEEE International Conference on Intelligence and Security Informatics (ISI).

[103]  Tooska Dargahi,et al.  A Survey on the Security of Stateful SDN Data Planes , 2017, IEEE Communications Surveys & Tutorials.

[104]  Yu Wang,et al.  CATH: an effective method for detecting denial-of-service attacks in software defined networks , 2017, Science China Information Sciences.

[105]  Shuliang Wang,et al.  Identification and predication of network attack patterns in software-defined networking , 2019, Peer-to-Peer Netw. Appl..

[106]  Talal Alharbi,et al.  Deployment of Blockchain Technology in Software Defined Networks: A Survey , 2020, IEEE Access.

[107]  Timo Hämäläinen,et al.  On Artificial Intelligent Malware Tolerant Networking for IoT , 2018, 2018 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN).

[108]  Rajkumar Buyya,et al.  BlockSDN: Blockchain-as-a-Service for Software Defined Networking in Smart City Applications , 2020, IEEE Network.

[109]  Minho Park,et al.  Distributed-SOM: A novel performance bottleneck handler for large-sized software-defined networks under flooding attacks , 2017, J. Netw. Comput. Appl..

[110]  Raul Poler,et al.  Software defined networking firewall for industry 4.0 manufacturing systems , 2018 .

[111]  Brij B. Gupta,et al.  Distributed denial of service (DDoS) attack mitigation in software defined network (SDN)-based cloud computing environment , 2018, Journal of Ambient Intelligence and Humanized Computing.

[112]  Yitzchak M. Gottlieb,et al.  ACyDS: An adaptive cyber deception system , 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference.

[113]  Fatih Alagöz,et al.  SDNScore: A statistical defense mechanism against DDoS attacks in SDN environment , 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

[114]  Jaime Lloret,et al.  A GRU deep learning system against attacks in software defined networks , 2021, J. Netw. Comput. Appl..

[115]  Mohamed Faten Zhani,et al.  A holistic approach to mitigating DoS attacks in SDN networks , 2018, Int. J. Netw. Manag..

[116]  Yu Wang,et al.  A Survey of Network Virtualization Techniques for Internet of Things Using SDN and NFV , 2020, ACM Comput. Surv..

[117]  A. VishnuPriya,et al.  Reinforcement Learning-Based DoS Mitigation in Software Defined Networks , 2018, Lecture Notes in Electrical Engineering.

[118]  Tarik Taleb,et al.  Virtual security as a service for 5G verticals , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[119]  Jorge E. Camargo,et al.  A Survey on Machine Learning Applications for Software Defined Network Security , 2019, ACNS Workshops.

[120]  George Karabatis,et al.  SDN-GAN: Generative Adversarial Deep NNs for Synthesizing Cyber Attacks on Software Defined Networks , 2019, OTM Workshops.

[121]  Ying Ding,et al.  Blockchain-Based Secure and Trustworthy Internet of Things in SDN-Enabled 5G-VANETs , 2019, IEEE Access.

[122]  Neeraj Kumar,et al.  Blockchain as a Service for Software Defined Networks: A Denial of Service Attack Perspective , 2019, 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).

[123]  Qianbin Chen,et al.  Blockchain-Enabled Software-Defined Industrial Internet of Things With Deep Reinforcement Learning , 2020, IEEE Internet of Things Journal.

[124]  Jorge Crichigno,et al.  An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends , 2021, IEEE Access.

[125]  Abdul Basit,et al.  DDoS Botnet Prevention using Blockchain in Software Defined Internet of Things , 2019, 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST).

[126]  Lei Xu,et al.  FloodGuard: A DoS Attack Prevention Extension in Software-Defined Networks , 2015, 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks.

[127]  Muhammad Imran,et al.  Toward an optimal solution against Denial of Service attacks in Software Defined Networks , 2019, Future Gener. Comput. Syst..

[128]  Srikanth V. Krishnamurthy,et al.  Cyber Deception: Virtual Networks to Defend Insider Reconnaissance , 2016, MIST@CCS.

[129]  Jian Zhu,et al.  SD-Anti-DDoS: Fast and efficient DDoS defense in software-defined networks , 2016, J. Netw. Comput. Appl..

[130]  Wenqing Wu,et al.  Architecting Programmable Data Plane Defenses into the Network with FastFlex , 2019, HotNets.

[131]  João Gama,et al.  A survey on concept drift adaptation , 2014, ACM Comput. Surv..

[132]  Jialong Zhang,et al.  Dressed up: Baiting Attackers through Endpoint Service Projection , 2018, SDN-NFV@CODASPY.

[133]  Nadir Shah,et al.  Hybrid SDN Networks: A Survey of Existing Approaches , 2018, IEEE Communications Surveys & Tutorials.

[134]  Abhinav Bhandari,et al.  New-flow based DDoS attacks in SDN: Taxonomy, rationales, and research challenges , 2020, Comput. Commun..

[135]  Joel J. P. C. Rodrigues,et al.  An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics , 2018, Future Gener. Comput. Syst..

[136]  Fenlin Liu,et al.  SDN-Based Double Hopping Communication against Sniffer Attack , 2016 .

[137]  Li-Der Chou,et al.  SDN/NFV-Based Moving Target DDoS Defense Mechanism , 2018 .

[138]  Raouf Boutaba,et al.  ATMoS: Autonomous Threat Mitigation in SDN using Reinforcement Learning , 2020, NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium.

[139]  Christian Wietfeld,et al.  Network Slicing for Critical Communications in Shared 5G Infrastructures - An Empirical Evaluation , 2018, 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft).

[140]  Mohammed Anbar,et al.  Detection Techniques of Distributed Denial of Service Attacks on Software-Defined Networking Controller–A Review , 2020, IEEE Access.

[141]  Jin Ye,et al.  A DDoS Attack Detection Method Based on SVM in Software Defined Network , 2018, Secur. Commun. Networks.

[142]  Roberto Di Pietro,et al.  FORTRESS: An Efficient and Distributed Firewall for Stateful Data Plane SDN , 2019, Secur. Commun. Networks.

[143]  Otto Carlos Muniz Bandeira Duarte,et al.  Providing a Sliced, Secure, and Isolated Software Infrastructure of Virtual Functions Through Blockchain Technology , 2019, 2019 IEEE 20th International Conference on High Performance Switching and Routing (HPSR).

[144]  Antonio F. Gómez-Skarmeta,et al.  Semantic-Aware Security Orchestration in SDN/NFV-Enabled IoT Systems , 2020, Sensors.

[145]  Amuthan Arjunan,et al.  Fuzzy self organizing maps-based DDoS mitigation mechanism for software defined networking in cloud computing , 2019, J. Ambient Intell. Humaniz. Comput..

[146]  Ahmed Meddahi,et al.  NFV Security Survey: From Use Case Driven Threat Analysis to State-of-the-Art Countermeasures , 2018, IEEE Communications Surveys & Tutorials.

[147]  Marc St-Hilaire,et al.  Early detection of DDoS attacks against SDN controllers , 2015, 2015 International Conference on Computing, Networking and Communications (ICNC).

[148]  Jiang Liu,et al.  A Defense Mechanism of Random Routing Mutation in SDN , 2017, IEICE Trans. Inf. Syst..

[149]  Mounir Ghogho,et al.  DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking , 2020 .

[150]  Xiaolin Li,et al.  Detection and defense of DDoS attack–based on deep learning in OpenFlow‐based SDN , 2018, Int. J. Commun. Syst..

[151]  Tao Wang,et al.  SDNManager: A Safeguard Architecture for SDN DoS Attacks Based on Bandwidth Prediction , 2018, Secur. Commun. Networks.