Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review

[1]  Jiushuang Wang,et al.  IFACNN: efficient DDoS attack detection based on improved firefly algorithm to optimize convolutional neural networks. , 2022, Mathematical biosciences and engineering : MBE.

[2]  Sukhveer Kaur,et al.  A comprehensive survey of DDoS defense solutions in SDN: Taxonomy, research challenges, and future directions , 2021, Comput. Secur..

[3]  Kim-Kwang Raymond Choo,et al.  Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions , 2021, J. Netw. Comput. Appl..

[4]  Debajyoti Mukhopadhyay,et al.  Automated DDOS attack detection in software defined networking , 2021, J. Netw. Comput. Appl..

[5]  Iain B. Collings,et al.  SDN Enabled DDoS Attack Detection and Mitigation for 5G Networks , 2021, J. Commun..

[6]  Eduardo Alchieri,et al.  A systematic review on distributed denial of service attack defense mechanisms in programmable networks , 2021, Int. J. Netw. Manag..

[7]  Zafer Cömert,et al.  Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking , 2021, Electronics.

[8]  Vesal Hakami,et al.  A Statistical Model for Early Detection of DDoS Attacks on Random Targets in SDN , 2021, Wireless Personal Communications.

[9]  Neminath Hubballi,et al.  Application Layer Denial-of-Service Attacks and Defense Mechanisms , 2021, ACM Computing Surveys.

[10]  Kuntal Gaur,et al.  Software Defined Networking: A review on Architecture, Security and Applications , 2021 .

[11]  Mayank Dave,et al.  Detection and Analysis of TCP-SYN DDoS Attack in Software-Defined Networking , 2021, Wireless Personal Communications.

[12]  V. Seethalakshmi,et al.  Improved Network Monitoring Using Software-Defined Networking for DDoS Detection and Mitigation Evaluation , 2021, Wirel. Pers. Commun..

[13]  Deepak Kshirsagar,et al.  A feature reduction based reflected and exploited DDoS attacks detection system , 2021, J. Ambient Intell. Humaniz. Comput..

[14]  Neena Gupta,et al.  Defense mechanisms against DDoS attack based on entropy in SDN-cloud using POX controller , 2021, Telecommun. Syst..

[15]  Danilo Souza Silva,et al.  Machine learning algorithms to detect DDoS attacks in SDN , 2019, Concurr. Comput. Pract. Exp..

[16]  Jagdeep Singh,et al.  Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions , 2020, Comput. Sci. Rev..

[17]  Farsad Zamani Boroujeni,et al.  The DDoS attacks detection through machine learning and statistical methods in SDN , 2020, The Journal of Supercomputing.

[18]  Flavio Esposito,et al.  A Taxonomy of DDoS Attack Mitigation Approaches Featured by SDN Technologies in IoT Scenarios , 2020, Sensors.

[19]  Sinchai Kamolphiwong,et al.  Analysis of Features Dataset for DDoS Detection by using ASVM Method on Software Defined Networking , 2020 .

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

[21]  Hüseyin Polat,et al.  Detecting DDoS Attacks in Software-Defined Networks Through Feature Selection Methods and Machine Learning Models , 2020, Sustainability.

[22]  Muhammad Aamir,et al.  DDoS attack detection with feature engineering and machine learning: the framework and performance evaluation , 2019, International Journal of Information Security.

[23]  Genoveva Vargas-Solar,et al.  Smart Detection: An Online Approach for DoS/DDoS Attack Detection Using Machine Learning , 2019, Secur. Commun. Networks.

[24]  Ali Kashif Bashir,et al.  A novel dynamic framework to detect DDoS in SDN using metaheuristic clustering , 2019, Trans. Emerg. Telecommun. Technol..

[25]  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..

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

[27]  Hisaaki Yamaba,et al.  Use of access characteristics to distinguish legitimate user traffic from DDoS attack traffic , 2019, Artificial Life and Robotics.

[28]  Saiful Adli Ismail,et al.  Review of Recent Detection Methods for HTTP DDoS Attack , 2019, J. Comput. Networks Commun..

[29]  Abhinav Bhandari,et al.  Distributed Denial of Service Attacks: A Threat or Challenge , 2019, New Review of Information Networking.

[30]  Indraneel Sreeram,et al.  HTTP flood attack detection in application layer using machine learning metrics and bio inspired bat algorithm , 2019, Applied Computing and Informatics.

[31]  Mathieu Bouet,et al.  DDoS protection with stateful software‐defined networking , 2018, Int. J. Netw. Manag..

[32]  Paramvir Singh,et al.  User behavior analytics-based classification of application layer HTTP-GET flood attacks , 2018, J. Netw. Comput. Appl..

[33]  Sakir Sezer,et al.  HTTP/2 Tsunami: Investigating HTTP/2 proxy amplification DDoS attacks , 2017, 2017 Seventh International Conference on Emerging Security Technologies (EST).

[34]  Tanmay De,et al.  MLP-GA based algorithm to detect application layer DDoS attack , 2017, J. Inf. Secur. Appl..

[35]  Dhruba Kumar Bhattacharyya,et al.  Real-time DDoS attack detection using FPGA , 2017, Comput. Commun..

[36]  Sunny Behal,et al.  Characterizing DDoS attacks and flash events: Review, research gaps and future directions , 2017, Comput. Sci. Rev..

[37]  Ali A. Ghorbani,et al.  Detecting HTTP-based application layer DoS attacks on web servers in the presence of sampling , 2017, Comput. Networks.

[38]  Sunny Behal,et al.  Detection of DDoS attacks and flash events using novel information theory metrics , 2017, Comput. Networks.

[39]  Paramvir Singh,et al.  Application layer HTTP-GET flood DDoS attacks: Research landscape and challenges , 2017, Comput. Secur..

[40]  Narmeen Zakaria Bawany,et al.  DDoS Attack Detection and Mitigation Using SDN: Methods, Practices, and Solutions , 2017, Arabian Journal for Science and Engineering.

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

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

[43]  Fatih Alagöz,et al.  A distributed filtering mechanism against DDoS attacks: ScoreForCore , 2016, Comput. Networks.

[44]  Amrit Lal Sangal,et al.  Characterizing flash events and distributed denial-of-service attacks: an empirical investigation , 2016, Secur. Commun. Networks.

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

[46]  Yogesh Palanichamy,et al.  Behavior-based detection of application layer distributed denial of service attacks during flash events , 2016 .

[47]  Krishan Kumar,et al.  A comprehensive approach to discriminate DDoS attacks from flash events , 2016, J. Inf. Secur. Appl..

[48]  Richard E. Overill,et al.  Detection of known and unknown DDoS attacks using Artificial Neural Networks , 2016, Neurocomputing.

[49]  Zhiyang Li,et al.  Detecting DDoS attacks against data center with correlation analysis , 2015, Comput. Commun..

[50]  Wanlei Zhou,et al.  Detection and defense of application-layer DDoS attacks in backbone web traffic , 2014, Future Gener. Comput. Syst..

[51]  S. Selvakumar,et al.  Detection of distributed denial of service attacks using an ensemble of adaptive and hybrid neuro-fuzzy systems , 2013, Comput. Commun..

[52]  Weifeng Chen,et al.  Flow level detection and filtering of low-rate DDoS , 2012, Comput. Networks.

[53]  S. Shenker,et al.  Ethane: taking control of the enterprise , 2007, SIGCOMM '07.

[54]  Xinchao Zhang,et al.  A passive DDoS attack detection approach based on abnormal analysis in SDN environment , 2021, Journal of Physics: Conference Series.

[55]  D. G. Narayan,et al.  Distributed Denial of Service (DDoS) Attacks Detection System for OpenStack-based Private Cloud , 2020 .

[56]  Meng Wang,et al.  A dynamic MLP-based DDoS attack detection method using feature selection and feedback , 2020, Comput. Secur..

[57]  Jugal K. Kalita,et al.  An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection , 2015, Pattern Recognit. Lett..

[58]  Aijun An,et al.  Detection of malicious and non-malicious website visitors using unsupervised neural network learning , 2013, Appl. Soft Comput..

[59]  Dong Seong Kim,et al.  Detection of DDoS attacks using optimized traffic matrix , 2012, Comput. Math. Appl..