crescentsalam16 Goto Github PK

alx-low_level_programming

I'm now a ALX Student, this is my first repository as a C beginner programmer

alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-system_engineering-devops

I'm now a ALX Student, this is Shell, basics repository as a full-stack engineer

alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

crescentsalam16

Config files for my GitHub profile.

ddos_detection

DDoS detection in SDN

decision-tree-from-scratch-in-python

Decision Tree from Scratch in Python

hamoye

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.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contains only normal data and rest of the days contains both normal and attacked data. Also, from the same university (UNB) for the Tor and Non Tor dataset, I tried K-means clustering and Stacked LSTM models in order to check the classification of multiple labels.

intrusion-detection-system-1

IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including perhaps insider.

itkst42-network-data-classifier

A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".

java_intrusion-detection-system

2018 Java_Intrusion-Detection-System in CIT built from scratch

javabased-network-ids

Java Based Network Intusion Detection System + Synopsis

jaya-optimization-algorithm-

Example of the use of a sample jaya optimization algorithm in a metamorphic malware solution

jsminna

ml-java-ids

creating machine learning algorithms in java for training and testing the NSL-KDD dataset for intrusion detection system.

network-intrusion-detection-system

We have Designed and developed an anomaly and misuse based intrusion detection system using neural networks. Technologies used: Java Weka and R Java is used to prepare datasets. R is used to implement a neural network. Weka is used for data cleaning. We created two files. One to detect anomaly based attacks and other to detect misuse based attacks. These files have around 4500 instances. The input is divided into a Training Data Set (75%) and Test Data Set (25%).

network-intrusion-detection-system-1

Network Intrusion Detection System prediction block, written in R using kDD and NSL datasets.

network-intrusion-detection-system-2

Designed and developed an anomaly and misuse based intrusion detection system using neural networks. Technologies used: Java Weka and R. Java is used to prepare DataSets. R is used implement a neural network. Weka is used for data cleaning.

nids-intrusion-detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

nids_jaya

Intrusion detection system (KDD dataset) with JAYA algorithm

pandasstage

Hamoye

printf

Team Project by Yahaya Abbas Yakubu and Umar Baba Umar

puyol

Reworking

tfx_pipeline_for_network_anomaly_detection_using_insdn2020dataset

This is a simple application of TensorFlow Extended(TFX) platform for network anomaly detection using InSDN 2020 Dataset.