A dependable hybrid machine learning model for network intrusion detection

MA Talukder, KF Hasan, MM Islam, MA Uddin… - Journal of Information …, 2023 - Elsevier
Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …

Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection

H Ding, L Chen, L Dong, Z Fu, X Cui - Future Generation Computer Systems, 2022 - Elsevier
With the continuous emergence of various network attacks, it is becoming more and more
important to ensure the security of the network. Intrusion detection, as one of the important …

Efficient secure routing mechanisms for the low-powered IoT network: A literature review

MZ Hussain, ZM Hanapi - Electronics, 2023 - mdpi.com
The Wireless Sensor Network in the Internet of Things (WSN-IoT) has been flourishing as
another global breakthrough over the past few years. The WSN-IoT is reforming the way we …

CNN-based network intrusion detection against denial-of-service attacks

J Kim, J Kim, H Kim, M Shim, E Choi - Electronics, 2020 - mdpi.com
As cyberattacks become more intelligent, it is challenging to detect advanced attacks in a
variety of fields including industry, national defense, and healthcare. Traditional intrusion …

A fast network intrusion detection system using adaptive synthetic oversampling and LightGBM

J Liu, Y Gao, F Hu - Computers & Security, 2021 - Elsevier
Network intrusion detection systems play an important role in protecting the network from
attacks. However, Existing network intrusion data is imbalanced, which makes it difficult to …

MQTTset, a new dataset for machine learning techniques on MQTT

I Vaccari, G Chiola, M Aiello, M Mongelli, E Cambiaso - Sensors, 2020 - mdpi.com
IoT networks are increasingly popular nowadays to monitor critical environments of different
nature, significantly increasing the amount of data exchanged. Due to the huge number of …

Revolutionary strategies analysis and proposed system for future infrastructure in internet of things

A Kumar, S Sharma, A Singh, A Alwadain, BJ Choi… - Sustainability, 2021 - mdpi.com
The Internet of Things (IoT) has changed the worldwide network of people, smart devices,
intelligent things, data, and information as an emergent technology. IoT development is still …

Multi-stage optimized machine learning framework for network intrusion detection

MN Injadat, A Moubayed, AB Nassif… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cyber-security garnered significant attention due to the increased dependency of individuals
and organizations on the Internet and their concern about the security and privacy of their …

Research on expansion and classification of imbalanced data based on SMOTE algorithm

S Wang, Y Dai, J Shen, J Xuan - Scientific reports, 2021 - nature.com
With the development of artificial intelligence, big data classification technology provides the
advantageous help for the medicine auxiliary diagnosis research. While due to the different …

Smart detection: an online approach for DoS/DDoS attack detection using machine learning

FS Lima Filho, FAF Silveira… - Security and …, 2019 - Wiley Online Library
Users and Internet service providers (ISPs) are constantly affected by denial‐of‐service
(DoS) attacks. This cyber threat continues to grow even with the development of new …