Alternatives and similar repositories for SYN-Flood-DDoS-Detection

Users that are interested in SYN-Flood-DDoS-Detection are comparing it to the libraries listed below

• irijije / DeepLearningIDS
  A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.
  ☆12Updated 5 years ago
• FrazHackz / Network-Intrusion-Detection-System-Deep-Learning
  Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)
  ☆12Updated 4 years ago
• sunxingyui5 / Attention-CNN-Intrusion-Detection-System
  ⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…
  ☆10Updated last year
• dendyikbc / kdd99-cnn-1
  Intrusion Detection Based on Convolutional Neural Network with kdd99 data set
  ☆55Updated 6 years ago
• parqz / IDS-Using-CNN-RNN
  Intrusion detection system using CNN and RNN
  ☆24Updated 5 years ago
• Chandrahas-Soman / Simple_IDS_using_RYU_SDN_controller_and_Machine_Learning
  Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and…
  ☆25Updated 6 years ago
• dwday / deep_learn_ids
  Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow
  ☆22Updated 2 years ago
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆37Updated 2 years ago
• sylvainlapeyrade / RNN_Intrusion-Detection_Keras
  A Recurrent Neural Networks implementation using Keras for network intrusion detection
  ☆30Updated 4 years ago
• abdelmageed95 / Synthesis-of-Adversarial-DDos-Attacks-Using-Tabular-Generative-Adversarial-Networks
  Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks
  ☆10Updated 2 years ago
• AnushManglani / Anomaly-based-Intrusion-Detection-System
  Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.
  ☆35Updated 4 years ago
• perriDplatypus / Anomaly-Detection-KDD99-CNNLSTM
  Intrusion Detection System using Machine Learning and Deep Learning
  ☆87Updated last year
• mehrdadep / deep-learning-nids
  A Deep Learning approach toward creating a NIDS using python
  ☆25Updated last year
• clazarom / DeepLearning_IDS
  Deep learning based Intrusion Detection System
  ☆31Updated 5 years ago
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆46Updated last year
• Abhijeet1990 / DL_based_IDS
  This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…
  ☆22Updated 2 years ago
• TGyAlDeen / IDS-UNSW-NB15
  IoT intrusion Detection Model based on neural network and random forests
  ☆46Updated 6 years ago
• arsheen / IDS-on-SDN-using-Machine-Learning
  Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port an…
  ☆39Updated 6 years ago
• manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRU
  An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach
  ☆33Updated 6 years ago
• demonCoder95 / ML-based-IDS-CICIDS2017
  This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
  ☆33Updated 4 years ago
• srtk88 / Machine-learning-algorithms-for-detecting-network-attacks-with-UNSW-NB15-data-set
  Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …
  ☆30Updated 6 years ago
• elifnurkarakoc / CICIDS2017
  CICIDS2017 dataset
  ☆70Updated 3 years ago
• Moskari / ITKST42-network-data-classifier
  A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".
  ☆38Updated 8 years ago
• VamsiUdaykumar / IoT-Intrusion-Detection-System
  Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…
  ☆43Updated 6 years ago
• r7sy / IntrusionDetection
  This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…
  ☆32Updated 6 years ago
• FlamingJay / Time-related-Intrusion-Detection-Model-based-on-Recurrent-Neural-Network
  Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.
  ☆72Updated 4 years ago
• JeevanSandhu / Intrusion-Detection
  Intrusion Detection using various Data Mining Techniques (KDD Cup 1999 Data)
  ☆19Updated 5 years ago
• MosabHamdan12 / nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-Cities
  This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…
  ☆13Updated 2 years ago
• vanlalruata / DCNNBiLSTM-An-Efficient-Hybrid-Deep-Learning-Based-Intrusion-Detection-System
  Journal Article: Telematics and Informatics Reports
  ☆12Updated 2 years ago
• AnushaUpadhyaya / Intrusion-Detection-System
  I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…
  ☆41Updated 6 years ago