Intrusion Detection System based on Pattern Recognition using CNN

SH Kumar, TVA Vijay, P Thirukumaran… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
The Intrusion Detection System (IDS) is a security tool that uses pattern recognition
algorithms to detect unusual activity in a network. IDS-based pattern recognition techniques …

Comparison of CNN and DNN performance on intrusion detection system

M Arief, SH Supangkat - … Conference on ICT for Smart Society …, 2022 - ieeexplore.ieee.org
Intrusion Detection Systems (IDS) are being used to automatically identify and categorize
intrusions or cyberattacks on network infrastructure and hosts in a timely manner. IDS can be …

Artificial neural network based IDS

N Ádám, B Madoš, A Baláž… - 2017 IEEE 15th …, 2017 - ieeexplore.ieee.org
The Network Intrusion Detection Systems (NIDS) are either signature based or anomaly
based. In this paper presented NIDS system belongs to anomaly based Neural Network …

Machine Learning and Big Data Based IDS System Extensive Survey

N Alromaihi, AY Al-Omary - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Network traffic and logs are monitored by intrusion detection systems (IDS) for abnormal
behavior that could indicate a security breach. Traditional IDS techniques require a …

[PDF][PDF] NETWORK BASED ANOMALY DETECTION USING EFFICIENT MACHINE LEARNING ALGORITHM

VS Stency, N Mohanasundaram - mercycollege.edu.in
Network-based intrusion detection systems (NIDS) monitor and record information about
incoming and outgoing internet traffic to identify potential security risks and compromises …

Cnn-ids: Convolutional neural network for network intrusion detection system

AH Halbouni, TS Gunawan, M Halbouni… - … on Wireless and …, 2022 - ieeexplore.ieee.org
The field of information technology is undergoing a global revolution; information is
exchanged globally. Such action requires the existence of an effective data and network …

Performance Evaluation of Signature Based and Anomaly Based Techniques for Intrusion Detection

VK Agrawal, B Rudra - … Conference on Intelligent Systems Design and …, 2022 - Springer
In the age of information technology everything is derived using information systems and
allows us to communicate with each other. Internet acts as a medium to communicate …

Real-Time Network Monitoring and Reporting Using Network Intrusion Detection System

MB Lonare, BC Joshi, SK Tripathy… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
The increased participation in digital networks for communication, commerce, and critical
infrastructure, calls for a robust Network Intrusion Detection System. This paper …

A Survey of Novel Framework of Anomaly-Based Intrusion Detection Systems in Computer Networks Using Ensemble Feature Integration with Deep Learning …

S Akkepalli, SK - Proceedings of the 2024 16th International Conference …, 2024 - dl.acm.org
Today's internet is made up of nearly half a million different networks. In any network
connection, identifying the attacks by their types is a difficult task as different attacks may …

A brief analysis on efficient machine learning techniques for intrusion detection model to provide network security

A Sirisha, B Premamayudu - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
An Intrusion Detection System (IDS) is a software used to monitor a single computer or a
network of computers to combat network attacks, block access to certain websites, or …