Efficient classification of enciphered SCADA network traffic in smart factory using decision tree algorithm
Vulnerability detection in Supervisory Control and Data Acquisition (SCADA) network of a
Smart Factory (SF) is a high-priority research area in the cyber-security domain. Choosing …
Smart Factory (SF) is a high-priority research area in the cyber-security domain. Choosing …
An explainable efficient flow-based Industrial IoT intrusion detection system
MM Alani - Computers and Electrical Engineering, 2023 - Elsevier
With the steady growth in the adoption of IoT in an industrial context, security challenges
intensify. Security threats to IoT devices in a nuclear plant or an oil refinery are much higher …
intensify. Security threats to IoT devices in a nuclear plant or an oil refinery are much higher …
DeepIIoT: An explainable deep learning based intrusion detection system for industrial IOT
IoT adoption is becoming widespread in different areas of applications in our daily lives. The
increased reliance on IoT devices has made them a worthy target for attackers. With …
increased reliance on IoT devices has made them a worthy target for attackers. With …
Intrusion detection systems trends to counteract growing cyber-attacks on cyber-physical systems
J Ali - 2021 22nd International Arab Conference on …, 2021 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) suffer from extendable vulnerabilities due to the
convergence of the physical world with the cyber world, which makes it victim to a number of …
convergence of the physical world with the cyber world, which makes it victim to a number of …
Classification and characterization of encoded traffic in SCADA network using hybrid deep learning scheme
The domain name system (DNS) has evolved into an essential component of network
communications, as well as a critical component of critical industrial systems (CIS) and …
communications, as well as a critical component of critical industrial systems (CIS) and …
Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing
This work introduces an intrusion detection system (IDS) tailored for industrial internet of
things (IIoT) environments based on an optimized convolutional neural network (CNN) …
things (IIoT) environments based on an optimized convolutional neural network (CNN) …
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
The rapid expansion of the Internet of Things (IoT) has raised increasing concern about
targeted cyber attacks. Previous research primarily focused on static Intrusion Detection …
targeted cyber attacks. Previous research primarily focused on static Intrusion Detection …
[PDF][PDF] RRCNN: Request Response-Based Convolutional Neural Network for ICS Network Traffic Anomaly Detection
Y Du, S Zhang, G Wan, D Zhou, J Lu… - Comput. Mater …, 2023 - cdn.techscience.cn
Nowadays, industrial control system (ICS) has begun to integrate with the Internet. While the
Internet has brought convenience to ICS, it has also brought severe security concerns …
Internet has brought convenience to ICS, it has also brought severe security concerns …
Interrelation between Temporal Coordinates and Intrusion Detection Techniques in Cyber Physical Systems
S Jacob, G Balanagireddy, KS Kumar… - 2022 International …, 2022 - ieeexplore.ieee.org
Network traffic and its temporal coordinates of flow are affected by factors such as traffic
volume, peak or low usage times, and available resource bandwidth. The problem of …
volume, peak or low usage times, and available resource bandwidth. The problem of …
Otkrivanje anomalija mrežnog prometa metodom klasifikacije strojnim učenjem u hibridnoj programski definiranoj mreži
I Fosić - 2024 - dr.nsk.hr
Sažetak Disertacija predstavlja inovativan pristup kibernetičkoj sigurnosti u kontekstu
hibridnih programski definiranih mreža (SDN), s naglaskom na integraciju tehnika strojnog …
hibridnih programski definiranih mreža (SDN), s naglaskom na integraciju tehnika strojnog …