Performance evaluation of intrusion detection based on machine learning using Apache Spark

M Belouch, S El Hadaj, M Idhammad - Procedia Computer Science, 2018 - Elsevier
Nowadays, network intrusion is considered as one of the major concerns in network
communications. Thus, the developed network intrusion detection systems aim to identify …

[HTML][HTML] Classification model for accuracy and intrusion detection using machine learning approach

A Agarwal, P Sharma, M Alshehri, AA Mohamed… - PeerJ Computer …, 2021 - peerj.com
In today's cyber world, the demand for the internet is increasing day by day, increasing the
concern of network security. The aim of an Intrusion Detection System (IDS) is to provide …

Machine learning based intrusion detection system

A Halimaa, K Sundarakantham - 2019 3rd International …, 2019 - ieeexplore.ieee.org
In order to examine malicious activity that occurs in a network or a system, intrusion
detection system is used. Intrusion Detection is software or a device that scans a system or a …

A framework for fast and efficient cyber security network intrusion detection using apache spark

GP Gupta, M Kulariya - Procedia Computer Science, 2016 - Elsevier
Due to increase in internet based services, the size of network traffic data has become so
large and complex that it is very difficult to process with the traditional data processing tools …

A novel scalable intrusion detection system based on deep learning

SN Mighan, M Kahani - International Journal of Information Security, 2021 - Springer
This paper successfully tackles the problem of processing a vast amount of security related
data for the task of network intrusion detection. It employs Apache Spark, as a big data …

[PDF][PDF] Network intrusion detection with feature selection techniques using machine-learning algorithms

K Kumar, JS Batth - International Journal of Computer …, 2016 - researchgate.net
The task of developing Intrusion Detection System (IDS) crucially depends on the
preprocessing along with selecting important data features of it. Another crucial factor is …

Network intrusion detection in big dataset using spark

P Dahiya, DK Srivastava - Procedia computer science, 2018 - Elsevier
Nowadays, huge amount of data is flowing every second; hence intrusion detection task
became tedious. Hence, Intrusion detection systems require efficient and improved detection …

Comparative analysis of machine learning algorithms along with classifiers for network intrusion detection

S Choudhury, A Bhowal - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Intrusion detection is one of the challenging problems encountered by the modern network
security industry. A network has to be continuously monitored for detecting policy violation or …

Firefly algorithm based feature selection for network intrusion detection

B Selvakumar, K Muneeswaran - Computers & Security, 2019 - Elsevier
Network intrusion detection is the process of identifying malicious activity in a network by
analyzing the network traffic behavior. Data mining techniques are widely used in Intrusion …

[PDF][PDF] Application of machine learning approaches in intrusion detection system: a survey

NF Haq, AR Onik, MAK Hridoy… - IJARAI …, 2015 - pdfs.semanticscholar.org
Network security is one of the major concerns of the modern era. With the rapid development
and massive usage of internet over the past decade, the vulnerabilities of network security …