Toward developing efficient Conv-AE-based intrusion detection system using heterogeneous dataset

MA Khan, J Kim - Electronics, 2020 - mdpi.com
Recently, due to the rapid development and remarkable result of deep learning (DL) and
machine learning (ML) approaches in various domains for several long-standing artificial …

HCRNNIDS: Hybrid convolutional recurrent neural network-based network intrusion detection system

MA Khan - Processes, 2021 - mdpi.com
Nowadays, network attacks are the most crucial problem of modern society. All networks,
from small to large, are vulnerable to network threats. An intrusion detection (ID) system is …

A scalable and hybrid intrusion detection system based on the convolutional-LSTM network

MA Khan, MR Karim, Y Kim - Symmetry, 2019 - mdpi.com
With the rapid advancements of ubiquitous information and communication technologies, a
large number of trustworthy online systems and services have been deployed. However …

[PDF][PDF] Deep learning algorithms for intrusion detection systems in internet of things using CIC-IDS 2017 dataset

J Jose, DV Jose - International Journal of Electrical and Computer …, 2023 - academia.edu
Due to technological advancements in recent years, the availability and usage of smart
electronic gadgets have drastically increased. Adoption of these smart devices for a variety …

HDL-IDS: a hybrid deep learning architecture for intrusion detection in the Internet of Vehicles

S Ullah, MA Khan, J Ahmad, SS Jamal, Z e Huma… - Sensors, 2022 - mdpi.com
Internet of Vehicles (IoV) is an application of the Internet of Things (IoT) network that
connects smart vehicles to the internet, and vehicles with each other. With the emergence of …

A machine learning approach for intrusion detection system on NSL-KDD dataset

I Abrar, Z Ayub, F Masoodi… - … conference on smart …, 2020 - ieeexplore.ieee.org
In the field of Network Security, there is a constant expedition towards the cyber-attacks
which can lead to a destabilized network. Moreover, with unexpected inception and …

Deep transfer learning based intrusion detection system for electric vehicular networks

ST Mehedi, A Anwar, Z Rahman, K Ahmed - Sensors, 2021 - mdpi.com
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-
Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of …

[PDF][PDF] Deep Learning-Based Hybrid Intelligent Intrusion Detection System.

MA Khan, Y Kim - Computers, Materials & Continua, 2021 - cdn.techscience.cn
Machine learning (ML) algorithms are often used to design effective intrusion detection (ID)
systems for appropriate mitigation and effective detection of malicious cyber threats at the …

Feature engineering and deep learning-based intrusion detection framework for securing edge IoT

M Nasir, AR Javed, MA Tariq, M Asim… - The Journal of …, 2022 - Springer
Devices belonging to the realm of edge Internet of Things (IoT) are becoming highly
susceptible to intrusion attacks. The large-scale development in edge IoT, ease of …

An improved LDA-based ELM classification for intrusion detection algorithm in IoT application

D Zheng, Z Hong, N Wang, P Chen - Sensors, 2020 - mdpi.com
The Internet of Things (IoT) is widely applied in modern human life, eg, smart home and
intelligent transportation. However, it is vulnerable to malicious attacks, and the current …