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A study on network intrusion detection using classifiers

Balamurugan Rengeswaran
4.9/5 (27423 ratings)
Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A study on network intrusion detection using classifiers. To get started finding A study on network intrusion detection using classifiers, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
44
Format
PDF, EPUB & Kindle Edition
Publisher
Grin Verlag
Release
2019
ISBN
3346039137

A study on network intrusion detection using classifiers

Balamurugan Rengeswaran
4.4/5 (1290744 ratings)
Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A study on network intrusion detection using classifiers. To get started finding A study on network intrusion detection using classifiers, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
44
Format
PDF, EPUB & Kindle Edition
Publisher
Grin Verlag
Release
2019
ISBN
3346039137

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