Benchmarking of machine learning for anomaly based intrusion detection systems in the CICIDS2017 dataset
An intrusion detection system (IDS) is an important protection instrument for detecting
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …
Multiclass Classification Procedure for Detecting Attacks on MQTT‐IoT Protocol
H Alaiz-Moreton, J Aveleira-Mata… - …, 2019 - Wiley Online Library
The large number of sensors and actuators that make up the Internet of Things obliges these
systems to use diverse technologies and protocols. This means that IoT networks are more …
systems to use diverse technologies and protocols. This means that IoT networks are more …
A framework for detection of cyber attacks by the classification of intrusion detection datasets
D Srivastava, R Singh, C Chakraborty… - Microprocessors and …, 2024 - Elsevier
Recognition of the consequence for advanced tools and techniques to secure the network
infrastructure from the security risks has prompted the advancement of many machine …
infrastructure from the security risks has prompted the advancement of many machine …
Application of GA feature selection on Naive Bayes, random forest and SVM for credit card fraud detection
Credit Card Fraud (CCF) is a serious challenge facing credit card holder and the credit card
delivering companies in the past decades. There are two levels CCF are performed, the …
delivering companies in the past decades. There are two levels CCF are performed, the …
An efficient hybridization of k-means and genetic algorithm based on support vector machine for cyber intrusion detection system
YK Saheed, MO Arowolo… - International Journal on …, 2022 - search.proquest.com
Abstract Intrusion Detection System (IDS) is a challenging cyberspace security technology to
safeguard against a malicious threat. Although many soft computing approaches have been …
safeguard against a malicious threat. Although many soft computing approaches have been …
Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges
Intrusion detection systems built on artificial intelligence (AI) are presented as latent
mechanisms for actively detecting fresh attacks over a complex network. The authors used a …
mechanisms for actively detecting fresh attacks over a complex network. The authors used a …
Intelligent one-class classifiers for the development of an intrusion detection system: the mqtt case study
The ever-increasing number of smart devices connected to the internet poses an
unprecedented security challenge. This article presents the implementation of an Intrusion …
unprecedented security challenge. This article presents the implementation of an Intrusion …
Computational intelligence for information security: A survey
R Wang, W Ji - IEEE Transactions on Emerging Topics in …, 2020 - ieeexplore.ieee.org
Information security is the set of processes that protect information away from unauthorized
access, disclosure, replication, modification, or destruction. Recently, more and more real …
access, disclosure, replication, modification, or destruction. Recently, more and more real …
NIDD: An intelligent network intrusion detection model for nursing homes
In nursing homes using technologies such as IoT, big data, cloud computing, and machine
learning, there is a constant risk of attacks such as Brute Force FTP, Brute Force SSH, Web …
learning, there is a constant risk of attacks such as Brute Force FTP, Brute Force SSH, Web …
[PDF][PDF] Exploiting incremental classifiers for the training of an adaptive intrusion detection model.
MR Mohamed, AA Nasr, IF Tarrad… - Int. J. Netw …, 2019 - academia.edu
Due to the fact that network data is dynamic in nature, the demand for adaptive Intrusion
Detection System (IDS) has increased for smart analysis of network data stream. An …
Detection System (IDS) has increased for smart analysis of network data stream. An …