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package.json
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package.json
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{
"name": "secrets",
"version": "1.0.0",
"description": "Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.\r ## How to start: \r Step-1 : Fork or Clone the project using command [git clone \"https://github.com/Shaik-Sohail-72/Network-Intrusion-Detection-Using-Deep-Learning.git\"] \r Step-2 : Create a .env file and set up the dovenv variable which is used in app.js (or) remove dotenv variables from app.js and set the links like mongoDB link etc. \r Step-3 : Use command [npm install] to install all the packages. \r Step-4 : Use command [node app.js] to run it locally.\r ## Description : \r Large numbers of businesses were affected by data infringes and Cyber -attacks due to dependency on internet. To prevent such malicious activity, the network requires a system that detects anomaly and inform the user and alerts the user.",
"main": "app.js",
"dependencies": {
"body-parser": "^1.18.3",
"cookie-parser": "^1.4.6",
"dotenv": "^6.2.0",
"download": "^8.0.0",
"ejs": "^2.6.1",
"express": "4.13.3",
"express-session": "^1.15.6",
"flatted": "^3.2.7",
"mongoose": "^8.2.2",
"mongoose-findorcreate": "^3.0.0",
"multer": "^1.4.4",
"nodemon": "^2.0.22",
"passport": "^0.7.0",
"passport-google-oauth2": "^0.2.0",
"passport-google-oauth20": "^2.0.0",
"passport-local": "^1.0.0",
"passport-local-mongoose": "^5.0.1",
"python-shell": "^3.0.1"
},
"scripts": {
"start": "nodemon app.js",
"test": "echo \"Error: no test specified\" && exit 1"
},
"keywords": [],
"author": "",
"license": "ISC",
"engines": {
"node": "18.x",
"npm": "x.7"
},
"devDependencies": {
"mocha": "~2.3.3",
"should": "~7.1.0",
"supertest": "~1.1.0"
},
"repository": {
"type": "git",
"url": "git+https://github.com/MohdSaif-1807/Network-Intrusion-Detection-Using-Deep-Learning.git"
},
"bugs": {
"url": "https://github.com/MohdSaif-1807/Network-Intrusion-Detection-Using-Deep-Learning/issues"
},
"homepage": "https://github.com/MohdSaif-1807/Network-Intrusion-Detection-Using-Deep-Learning#readme"
}