Ensemble classification for intrusion detection via feature extraction based on deep Learning

M Yousefnezhad, J Hamidzadeh, M Aliannejadi - Soft Computing, 2021 - Springer
An intrusion detection system is a security system that aims to detect sabotage and
intrusions on networks to inform experts of the attack and abuse of the network. Different …

Ensemble based approach for intrusion detection using extra tree classifier

BS Bhati, CS Rai - … Computing in Engineering: Select Proceedings of …, 2020 - Springer
With the swift growth of Internet technology, various types of attacks and intrusions are taking
place over the Internet. Intrusion Detection Systems (IDS) are widely used to detect attacks …

A hybrid intrusion detection system based on sparse autoencoder and deep neural network

KN Rao, KV Rao, PR PVGD - Computer Communications, 2021 - Elsevier
A large number of attacks are launched daily in the era of the internet and with a large
number of users. Nowadays, effective detection of numerous attacks using the Intrusion …

IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism

FE Laghrissi, S Douzi, K Douzi, B Hssina - Journal of Big Data, 2021 - Springer
Network attacks are illegal activities on digital resources within an organizational network
with the express intention of compromising systems. A cyber attack can be directed by …

Comparative research on network intrusion detection methods based on machine learning

C Zhang, D Jia, L Wang, W Wang, F Liu, A Yang - Computers & Security, 2022 - Elsevier
Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …

Building an effective intrusion detection system using the modified density peak clustering algorithm and deep belief networks

Y Yang, K Zheng, C Wu, X Niu, Y Yang - Applied Sciences, 2019 - mdpi.com
Featured Application The model proposed in this paper can be deployed to the enterprise
gateway, dynamically monitor network activities, and connect with the firewall to protect the …

CNN-LSTM: hybrid deep neural network for network intrusion detection system

A Halbouni, TS Gunawan, MH Habaebi… - IEEE …, 2022 - ieeexplore.ieee.org
Network security becomes indispensable to our daily interactions and networks. As attackers
continue to develop new types of attacks and the size of networks continues to grow, the …

An efficient XGBoost–DNN-based classification model for network intrusion detection system

P Devan, N Khare - Neural Computing and Applications, 2020 - Springer
There is a steep rise in the trend of the utility of Internet technology day by day. This
tremendous increase ushers in a massive amount of data generated and handled. For …

Network intrusion detection method combining CNN and BiLSTM in cloud computing environment

J Gao - Computational intelligence and neuroscience, 2022 - Wiley Online Library
A network intrusion detection method combining CNN and BiLSTM network is proposed.
First, the KDD CUP 99 data set is preprocessed by using data extraction algorithm. The data …

A systematic literature review of intrusion detection system for network security: Research trends, datasets and methods

R Ferdiana - … 4th International Conference on Informatics and …, 2020 - ieeexplore.ieee.org
Study on intrusion detection system (IDS) mostly allow network administrators to focus on
development activities in terms of network security and making better use of resource. Many …