A systematic literature review on swarm intelligence based intrusion detection system: past, present and future

DKK Reddy, J Nayak, HS Behera… - … Methods in Engineering, 2024 - Springer
Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …

Swarm intelligence inspired intrusion detection systems—a systematic literature review

MH Nasir, SA Khan, MM Khan, M Fatima - Computer Networks, 2022 - Elsevier
Abstract An Intrusion Detection System (IDS) is one of the fundamental building blocks in
securing a network. A huge number of techniques have been proposed and implemented to …

[HTML][HTML] Securing IoT and SDN systems using deep-learning based automatic intrusion detection

RA Elsayed, RA Hamada, MI Abdalla… - Ain Shams Engineering …, 2023 - Elsevier
Abstract Both Internet of Things (IoT) and Software Defined Networks (SDN) have a major
role in increasing efficiency and productivity for smart cities. Despite that, they face potential …

[HTML][HTML] A one-dimensional convolutional neural network (1D-CNN) based deep learning system for network intrusion detection

EUH Qazi, A Almorjan, T Zia - Applied Sciences, 2022 - mdpi.com
The connectivity of devices through the internet plays a remarkable role in our daily lives.
Many network-based applications are utilized in different domains, eg, health care, smart …

Hybrid approach to intrusion detection in fog-based IoT environments

CA De Souza, CB Westphall, RB Machado… - Computer Networks, 2020 - Elsevier
Abstract In the Internet of Things (IoT) systems, information of various kinds is continuously
captured, processed, and transmitted by systems generally interconnected by the Internet …

A systematic review on hybrid intrusion detection system

EM Maseno, Z Wang, H **ng - Security and Communication …, 2022 - Wiley Online Library
As computer networks keep growing at a high rate, achieving confidentiality, integrity, and
availability of the information system is essential. Intrusion detection systems (IDSs) have …

[PDF][PDF] Development of PCCNN-based network intrusion detection system for EDGE computing.

MA Haq, MA Rahim Khan, T AL-Harbi - Computers, Materials & …, 2022 - academia.edu
Intrusion Detection System (IDS) plays a crucial role in detecting and identifying the DoS
and DDoS type of attacks on IoT devices. However, anomaly-based techniques do not …

Optimizing filter-based feature selection method flow for intrusion detection system

MA Siddiqi, W Pak - Electronics, 2020 - mdpi.com
In recent times, with the advancement in technology and revolution in digital information,
networks generate massive amounts of data. Due to the massive and rapid transmission of …

A two-layer fog-cloud intrusion detection model for IoT networks

S Roy, J Li, Y Bai - Internet of Things, 2022 - Elsevier
Abstract The Internet of Things (IoT) and its applications are becoming ubiquitous in our life.
However, the open deployment environment and the limited resources of IoT devices make …

HDFEF: A hierarchical and dynamic feature extraction framework for intrusion detection systems

Y Li, T Qin, Y Huang, J Lan, ZH Liang, T Geng - Computers & Security, 2022 - Elsevier
Network intrusion detection plays a vital role in modern cyberspace security systems.
Although deep learning has been widely used for automatic feature extraction in intrusion …