A study on network intrusion detection using classifiers

Research Paper (undergraduate) , 2019 , 36 Pages

Computer Science - Applied

In these days of rising internet usage, almost everyone has access to the internet. It is available easily and readily. So along with increase in popularity and importance it also leads to an increase in risks and susceptibility to unwanted attacks. Networks and servers and more prone to malicious attacks than ever. Cyber security is vital in this age. Lots of organizations now interact and communicate with people via the internet. They store huge amounts of data in their computers or devices connected to the network. This data should only be accessed by authorized members of the organization. It is possible for hackers to gain unauthorized access to this data. A lot of sensitive information is present in the data which might lead to harm in the hands of hackers. It is important to protect the network from being attacked in such a way. Network security is an element of cyber security which aims to provide services so that the organizations are safe from such attacks. Intrusion detection systems are present in the network which work along with the firewalls to detect and prevent such attacks. For this project, we aim to identify the suitable machine learning technique to detect such attacks and which can be used in state of the art system.

CONTENTS

Executive Summary

Table of contents

List of figures

List of Tables

Abbreviations

1. INTRODUCTION
1.1 Objective
1.2 Motivation
1.3 Background

2. WORK DESCRIPTION AND GOALS

3. TECHNICAL SPECIFICATION
3.1 Functional Requirements
3.2 Assumptions, Dependencies and Constraints
3.3 User Requirements and Product Specific System Requirements
3.4 Domain Requirements
3.5 Non-functional Requirements
3.6 Engineering Standard Requirements
3.7 System Requirements

4. DESIGN APPROACH AND DETAILS

5. SCHEDULE TASKS AND MILESTONES

6. DEMONSTRATION

7. RESULTS AND DISCUSSIONS

8. SUMMARY

9. REFERENCES

• College: VIT University
• Author: Dr. Balamurugan Rengeswaran (Author)
• Publication Year: 2019
• Pages: 36
• Catalog Number: V469095
• ISBN (eBook): 9783346039125
• ISBN (Book): 9783346039132
• Language: English
• Tags: machine learning, network security, intrusion detection