An effective deep learning based scheme for network intrusion detection

H Zhang, CQ Wu, S Gao, Z Wang… - 2018 24th International …, 2018 - ieeexplore.ieee.org
Intrusion detection systems (IDS) play an important role in the protection of network
operations and services. In this paper, we propose an effective network intrusion detection …

Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset

S Hanif, T Ilyas, M Zeeshan - … improving quality of life using ICT …, 2019 - ieeexplore.ieee.org
IoT devices are susceptible to numerous cyber-attacks due to its low power, low
computational requirements and controlled environment that make it hard to implement …

Interactive three-dimensional visualization of network intrusion detection data for machine learning

W Zong, YW Chow, W Susilo - Future Generation Computer Systems, 2020 - Elsevier
The threat of cyber-attacks is on the rise in the digital world today. As such, effective
cybersecurity solutions are becoming increasingly important for detecting and combating …

Convolutional neural networks for multi-class intrusion detection system

S Potluri, S Ahmed, C Diedrich - … Cluj-Napoca, Romania, December 20–22 …, 2018 - Springer
Advances in communication and networking technology leads to the use of internet-based
technology in Industrial Control System (ICS) applications. Simultaneously to the …

A wrapper‐based feature selection for improving performance of intrusion detection systems

M Samadi Bonab, A Ghaffari… - International Journal …, 2020 - Wiley Online Library
Along with expansion in using of Internet and computer networks, the privacy, integrity, and
access to digital resources have been faced with permanent risks. Due to the unpredictable …

[HTML][HTML] Enhancing intrusion detection in IoT systems: A hybrid metaheuristics-deep learning approach with ensemble of recurrent neural networks

P Sanju - Journal of Engineering Research, 2023 - Elsevier
Significant benefits have been brought to various industries by IoT (Internet of Things), but
new security challenges have also been introduced due to the sheer volume and complexity …

[HTML][HTML] An efficient network intrusion detection and classification system

I Ahmad, QE Ul Haq, M Imran, MO Alassafi… - Mathematics, 2022 - mdpi.com
Intrusion detection in computer networks is of great importance because of its effects on the
different communication and security domains. The detection of network intrusion is a …

[PDF][PDF] A Hybrid Model Using Bio-Inspired Metaheuristic Algorithms for Network Intrusion Detection System.

O Almomani - Computers, Materials & Continua, 2021 - academia.edu
Network Intrusion Detection System (IDS) aims to maintain computer network security by
detecting several forms of attacks and unauthorized uses of applications which often can not …

Feasibility of supervised machine learning for cloud security

D Bhamare, T Salman, M Samaka… - … Science and Security …, 2016 - ieeexplore.ieee.org
Cloud computing is gaining significant attention, however, security is the biggest hurdle in its
wide acceptance. Users of cloud services are under constant fear of data loss, security …

A new evolutionary neural networks based on intrusion detection systems using multiverse optimization

I Benmessahel, K Xie, M Chellal - Applied Intelligence, 2018 - Springer
Building an intrusion detection system (IDS) has become an increasingly urgent issue for
detecting network security breaches in computer and network systems. However, an …