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 …
(IIoT), as the deep convergence of the Internet of Things (IoT) and other information and …
Intrusion traffic detection and characterization using deep image learning
The security community has witnessed an unprecedented upsurge in cyber attacks in recent
years. These attacks have proved to be successful in achieving their catastrophic objectives …
years. These attacks have proved to be successful in achieving their catastrophic objectives …
Evaluation of machine learning algorithms for anomaly detection
Malicious attack detection is one of the critical cyber-security challenges in the peer-to-peer
smart grid platforms due to the fact that attackers' behaviours change continuously over time …
smart grid platforms due to the fact that attackers' behaviours change continuously over time …
A spectrogram image-based network anomaly detection system using deep convolutional neural network
The dynamics of computer networks have changed rapidly over the past few years due to a
tremendous increase in the volume of the connected devices and the corresponding …
tremendous increase in the volume of the connected devices and the corresponding …
IADF-CPS: Intelligent anomaly detection framework towards cyber physical systems
SM Nagarajan, GG Deverajan, AK Bashir… - Computer …, 2022 - Elsevier
Abstract Cyber–Physical Systems (CPSs) becoming one of the most complex, intelligent,
and sophisticated system. Ensuring security is an important aspect towards CPSs. However …
and sophisticated system. Ensuring security is an important aspect towards CPSs. However …
Anomaly-based intrusion detection using GAN for industrial control systems
KK Sabari, S Shrivastava - 2022 10th International …, 2022 - ieeexplore.ieee.org
In recent years, cyber-attacks on modern industrial control systems (ICS) have become more
common and it acts as a victim to various kind of attackers. The percentage of attacked ICS …
common and it acts as a victim to various kind of attackers. The percentage of attacked ICS …
Anomaly detection in network traffic using unsupervised machine learning approach
A Vikram - 2020 5th International Conference on …, 2020 - ieeexplore.ieee.org
The advent of IoT technology and the increase in wireless networking devices has led to an
enormous increase in network attacks from different sources. To maintain networks as safe …
enormous increase in network attacks from different sources. To maintain networks as safe …
Anomaly-based intrusion detection using auto-encoder
YN Nguimbous, R Ksantini… - … Conference on Software …, 2019 - ieeexplore.ieee.org
Intrusion detection systems do not perform well when it comes to detecting new attacks.
Therefore improving their performance in that regard is an active research topic. In this …
Therefore improving their performance in that regard is an active research topic. In this …
Anomaly-based network intrusion detection system through feature selection and hybrid machine learning technique
A Pattawaro, C Polprasert - 2018 16th International Conference …, 2018 - ieeexplore.ieee.org
In this paper, we propose an anomaly-based network intrusion detection system based on a
combination of feature selection, K-Means clustering and XGBoost classification model. We …
combination of feature selection, K-Means clustering and XGBoost classification model. We …
Anomaly based novel intrusion detection system for network traffic reduction
K Vengatesan, A Kumar, R Naik… - … I-SMAC) I-SMAC (IoT in …, 2018 - ieeexplore.ieee.org
With the coming of anomaly based intrusion detection systems, numerous methodologies
and strategies have been produced to track novel assaults on the systems. High detection …
and strategies have been produced to track novel assaults on the systems. High detection …