Research on Detection and Defense Mechanisms of DoS Attacks Based on BP Neural Network and Game Theory
暂无分享,去创建一个
Feng Lin | Maode Ma | Lu Zhang | Lijun Gao | Yanting Li | M. Ma | Feng Lin | Lijun Gao | Yanting Li | Lu Zhang
[1] Goran Kvascev,et al. Flow-based anomaly intrusion detection system using two neural network stages , 2014, Comput. Sci. Inf. Syst..
[2] Zhu Wang,et al. A research using hybrid RBF/Elman neural networks for intrusion detection system secure model , 2009, Comput. Phys. Commun..
[3] Milos Manic,et al. Toward Explainable Deep Neural Network Based Anomaly Detection , 2018, 2018 11th International Conference on Human System Interaction (HSI).
[4] Wei Wang,et al. A Game Theory Based Collaborative Security Detection Method for Internet of Things Systems , 2018, IEEE Transactions on Information Forensics and Security.
[5] Leon Reznik,et al. Anomaly Detection Based Intrusion Detection , 2006, Third International Conference on Information Technology: New Generations (ITNG'06).
[6] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[7] Yizhong Ma,et al. The intrusion detection method based on game theory in wireless sensor network , 2008, 2008 First IEEE International Conference on Ubi-Media Computing.
[8] Vallipuram Muthukkumarasamy,et al. An Intelligent Intrusion Detection System Based on Neural Network , 2004 .
[9] Andrew H. Sung,et al. Feature Selection for Intrusion Detection with Neural Networks and Support Vector Machines , 2003 .
[10] Aleksey A. Titorenko,et al. Influence of DoS attacks on intrusion detection systems , 2018, 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
[11] Jamal Hussain,et al. A two-stage hybrid classification technique for network intrusion detection system , 2016, Int. J. Comput. Intell. Syst..
[12] K. Raghuveer,et al. Confederation of FCM clustering, ANN and SVM techniques to implement hybrid NIDS using corrected KDD cup 99 dataset , 2014, 2014 International Conference on Communication and Signal Processing.
[13] E OverillRichard,et al. Detection of known and unknown DDoS attacks using Artificial Neural Networks , 2016 .
[14] Richard E. Overill,et al. Detection of known and unknown DDoS attacks using Artificial Neural Networks , 2016, Neurocomputing.
[15] Deepak Kumar Gupta,et al. DoS attack detection technique using back propagation neural network , 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
[16] Boon-Hee Soong,et al. Deception-Based Game Theoretical Approach to Mitigate DoS Attacks , 2016, GameSec.
[17] Jindong Wang,et al. Active defense strategy selection based on static Bayesian game , 2015 .
[18] Syed Taqi Ali,et al. Detecting DDoS attacks in cloud computing using ANN and black hole optimization , 2017, 2017 2nd International Conference on Telecommunication and Networks (TEL-NET).
[19] Cristina Comaniciu,et al. A Bayesian game approach for intrusion detection in wireless ad hoc networks , 2006, GameNets '06.
[20] Meenu Chawla,et al. Analysis of feature selection techniques for denial of service (DoS) attacks , 2018, 2018 4th International Conference on Recent Advances in Information Technology (RAIT).
[21] L. Ibrahim. ANOMALY NETWORK INTRUSION DETECTION SYSTEM BASED ON DISTRIBUTED TIME-DELAY NEURAL NETWORK (DTDNN) , 2010 .
[22] Jianfeng Ma,et al. Dynamic game model of botnet DDoS attack and defense , 2016, Secur. Commun. Networks.