[HTML][HTML] Hybrid defense mechanism against malicious packet dropping attack for MANET using game theory

S Vijayalakshmi, S Bose, G Logeswari… - Cyber security and …, 2023 - Elsevier
Ad hoc networks are a new perspective of wireless communication for versatile hosts.
Security is a colossal worry for ad hoc networks, especially for those security-touchy …

[HTML][HTML] DRaNN_PSO: A deep random neural network with particle swarm optimization for intrusion detection in the industrial internet of things

J Ahmad, SA Shah, S Latif, F Ahmed, Z Zou… - Journal of King Saud …, 2022 - Elsevier
Abstract The Industrial Internet of Things (IIoT) is a rapidly emerging technology that
increases the efficiency and productivity of industrial environments by integrating smart …

Artificial immunity based distributed and fast anomaly detection for Industrial Internet of Things

B Li, Y Chang, H Huang, W Li, T Li, W Chen - Future Generation Computer …, 2023 - Elsevier
Recent years have witnessed an increased attack surface of the Industrial Internet of Things
(IIoT), as the deep convergence of the Internet of Things (IoT) and other information and …

[HTML][HTML] Temporal weighted averaging for asynchronous federated intrusion detection systems

S Agrawal, A Chowdhuri, S Sarkar… - Computational …, 2021 - hindawi.com
Federated learning (FL) is an emerging subdomain of machine learning (ML) in a distributed
and heterogeneous setup. It provides efficient training architecture, sufficient data, and …

Prediction of IIoT traffic using a modified whale optimization approach integrated with random forest classifier

ST Ikram, V Priya, B Anbarasu, X Cheng… - The Journal of …, 2022 - Springer
Several organizations are implementing large-scale Internet of Things (IoT)-based
ecosystems, such as Industrial IoT (IIoT). Such systems are vulnerable to new threats and …

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 …

Optimized deep autoencoder model for internet of things intruder detection

B Lahasan, H Samma - IEEE Access, 2022 - ieeexplore.ieee.org
The development of an optimized deep learning intruder detection model that could be
executed on IoT devices with limited hardware support has several advantages, such as the …

ALSNAP: Attention-based long and short-period network security situation prediction

D Zhao, P Shen, S Zeng - Ad Hoc Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) and other emerging communication and network
technologies enable improved efficiency, convenience, and connectivity in various domains …

[HTML][HTML] E-minbatch graphsage: An industrial internet attack detection model

J Lan, JZ Lu, GG Wan, YY Wang, CY Huang… - Security and …, 2022 - hindawi.com
The Industrial Internet has grown rapidly in recent years, and attacks against the Industrial
Internet have also increased. When compared with the traditional Internet, the industrial …

SOPA‐GA‐CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial …

JC Huang, GQ Zeng, GG Geng… - IET Cyber‐Systems …, 2023 - Wiley Online Library
In recent years, deep learning has been applied to a variety of scenarios in Industrial
Internet of Things (IIoT), including enhancing the security of IIoT. However, the existing deep …