Intelligent Intrusion Detection System

Information and communications technology (ICT) systems and networks handle various sensitive user data that are prone by various attacks from both internal and external intruders. These attacks can be manual and machine generated, diverse and are gradually advancing in obfuscations resulting in und

Project Title

Intelligent Intrusion Detection System

Project Area of Specialization

Cyber Security

Project Summary

Information and communications technology (ICT) systems and networks handle various sensitive user data that are prone by various attacks from both internal and external intruders. These attacks can be manual and machine generated, diverse and are gradually advancing in obfuscations resulting in undetected data breaches. Malicious cyberattacks pose serious security issues that demand the need for a novel, flexible and more intellegent intrusion detection system (IDS). An IDS is a proactive intrusion detection tool used to detect and classify intrusions, attacks, or violations of the security policies automatically at network-level and host-level infrastructure in a timely manner.

Project Objectives

By combining both (Network Intrusion Detection System) NIDS and (Host Intrusion Detection System) HIDS collaboratively, an effective deep learning approach is proposed by modeling a deep-neural network (DNN) to detect cyberattacks proactively. The efficacy of various classical machine learning algorithms and DNNs are evaluated on various NIDS and HIDS datasets in identifying whether network traffic behavior is either normal or abnormal due to an attack that can be classified into corresponding attack categories. 

Project Implementation Method

We use deep learning algorithms and machine learning in this project.

We can also use python libraries.

Software methodology:

Agile Development Methodology:

           The main focus of this methodology is the project/product itself. That is why, it presupposes various constant alterations based on users and customers feedback, as well as internal changes related to the work of engineers. Agile software development methodology is free of rigid frameworks on the one hand. While, on the other hand, the working process is divided into short time boxes, thus offering the real results and feedbacks truly fast.

Benefits:

Problems are fixed at the early stage, so the quality of the final product is often top-notch.

Drawbacks: 

It is easy to get off track with all the constant changes and amendments aimed at improving the product.

Tools and technologies:

Python

PyCharm

Machine Learning

Deep Neural Networks

Benefits of the Project

It improves security in networks.

• It monitors the working of routers, firewall, key servers and files. It uses its extensive attack signature database, raises an alarm and sends appropriate notifications on detecting a breach.
• By using the signature database, IDS ensures quick and effective detection of known anomalies with a low risk of raising false alarms.
• It analyzes different types of attacks, identifies patterns of malicious content and help the administrators to tune, organize and implement effective controls.
• It helps the company maintain regulatory compliance and meet security regulations as it provides greater visibility across the entire network.

Although IDS is typically a passive system, some active IDS can, along with detection and generating alerts, block IP addresses or shut down access to restricted resources when an anomaly is detected.

Technical Details of Final Deliverable

In this part of deep learning, a model is developed as an optimization 

algorithm for first-order gradient-based optimization of a stochastic objective 

function to obtain maximum accuracy of classification ratios for intrusion detection 

system. This optimizer works on adaptive estimation of low-order instants. Use this 

method to activate a model developed as a pre-implementation process. Raw data is 

initially collected from CTU-13 dataset in the PCAP format and subsequently 

transformed to select the relevant network flow parameters.

Final Deliverable of the Project

Software System

Core Industry

Security

Other Industries

IT , Telecommunication

Core Technology

Internet of Things (IoT)

Other Technologies

Others

Sustainable Development Goals

Responsible Consumption and Production

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com