Results 1 to 10 of about 3,075 (211)

Oblivious network intrusion detection systems

Scientific Reports, 2023
A main function of network intrusion detection systems (NIDSs) is to monitor network traffic and match it against rules. Oblivious NIDSs (O-NIDS) perform the same tasks of NIDSs but they use encrypted rules and produce encrypted results without being ...
Mahmoud AbdelHafeez Sayed, Mostafa Taha
doaj   +3 more sources

Toward lightweight intrusion detection systems using the optimal and efficient feature pairs of the Bot-IoT 2018 dataset

International Journal of Distributed Sensor Networks, 2021
Intrusion detection systems play a vital role in traffic flow monitoring on Internet of Things networks by providing a secure network traffic environment and blocking unwanted traffic packets.
Erman Özer, Murat İskefiyeli, Jahongir Azimjonov   +2 more
doaj   +1 more source

N-STGAT: Spatio-Temporal Graph Neural Network Based Network Intrusion Detection for Near-Earth Remote Sensing

Remote Sensing, 2023
With the rapid development of the Internet of Things (IoT)-based near-Earth remote sensing technology, the problem of network intrusion for near-Earth remote sensing systems has become more complex and large-scale.
Yalu Wang, Jie Li, Wei Zhao, Zhijie Han, Hang Zhao, Lei Wang, Xin He   +6 more
doaj   +1 more source

An Intrusion Detection Approach based on the Combination of Oversampling and Undersampling Algorithms

Acta Infologica, 2023
The threat of network intrusion has become much more severe due to the increasing network flow. Therefore, network intrusion detection is one of the most concerned areas of network security.
Ahmet Okan Arık, Gülsüm Çiğdem Çavdaroğlu   +1 more
doaj   +1 more source

Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems [PDF]

PeerJ Computer Science, 2023
Network intrusion is one of the main threats to organizational networks and systems. Its timely detection is a profound challenge for the security of networks and systems.
Qaiser Abbas, Sadaf Hina, Hamza Sajjad, Khurram Shabih Zaidi, Rehan Akbar   +4 more
doaj   +2 more sources

A system for distributed intrusion detection [PDF]

COMPCON Spring '91 Digest of Papers, 2002
The network intrusion-detection concept is extended from the LAN (local area network) environment to arbitrarily wider areas, with the network topology being arbitrary as well. The generalized distributed environment is heterogeneous, i.e. the network nodes can be hosts or servers from different vendors, or some of them could be LAN managers.
Steven R. Snapp, James Brentano, Gihan V. Dias, Terrance Goan, Tim Grance, Todd L. Heberlein, Che-Lin Ho, Karl N. Levitt, Biswanath Mukherjee, Douglass L. Mansur, Kenneth L. Pon, Stephen E. Smaha   +11 more
openaire   +1 more source

A new perspective towards the development of robust data-driven intrusion detection for industrial control systems

Nuclear Engineering and Technology, 2020
Most of the machine learning-based intrusion detection tools developed for Industrial Control Systems (ICS) are trained on network packet captures, and they rely on monitoring network layer traffic alone for intrusion detection.
Abiodun Ayodeji, Yong-kuo Liu, Nan Chao, Li-qun Yang   +3 more
doaj   +1 more source

Optimization of the Random Forest Hyperparameters for Power Industrial Control Systems Intrusion Detection Using an Improved Grid Search Algorithm

Applied Sciences, 2022
The intrusion detection method of power industrial control systems is a crucial aspect of assuring power security. However, traditional intrusion detection methods have two drawbacks: first, they are mainly used for defending information systems and lack
Ningyuan Zhu, Chaoyang Zhu, Liang Zhou, Yayun Zhu, Xiaojuan Zhang   +4 more
doaj   +1 more source

Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection

Journal of Computer Networks and Communications, 2021
This paper introduces a new integrated learning approach towards developing a new network intrusion detection model that is scalable and adaptive nature of learning. The approach can improve the existing trends and difficulties in intrusion detection. An
Alebachew Chiche, Million Meshesha
doaj   +1 more source

Artificial Intelligence based Intrusion Detection System – A Detailed Survey [PDF]

ITM Web of Conferences
The Internet and communications have rapidly expanded, leading to a significant rise in data generation and heterogeneity. Intrusion detection systems play a crucial role in ensuring the security and integrity of computer systems. These systems have been
Sharma Vishwas, Shah Dharmesh, Sharma Sachin, Gautam Sunil   +3 more
doaj   +1 more source