A study on network intrusion detection using classifiers

Language: English

Published by GRIN Verlag, 2019

3346039137 / 9783346039132

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Druck auf Anfrage Neuware - Printed after ordering - Research Paper (undergraduate) from the year 2019 in the subject Computer Science - Applied, VIT University, language: English, abstract: 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.

Seller Inventory # 9783346039132

Title
A study on network intrusion detection using classifiers
Author
Balamurugan Rengeswaran
Publisher
GRIN Verlag
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3346039137
ISBN 13
9783346039132
Item weight
158 grams
Dimensions
297x210x4 mm

AHA-BUCH GmbH

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