A survey on industrial control system testbeds and datasets for security research
The increasing digitization and interconnection of legacy Industrial Control Systems (ICSs)
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …
open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore …
A taxonomy of security issues in Industrial Internet-of-Things: Scoping review for existing solutions, future implications, and research challenges
Industrial Internet of Things (IIoTs) are the extensions of the Internet of Things (IoTs) and
have paved the way towards the industry revolution 4.0. IIoT accelerates the industry …
have paved the way towards the industry revolution 4.0. IIoT accelerates the industry …
Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection
JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …
and services to physical systems. The IIoT has been used to generate large quantities of …
A novel hierarchical intrusion detection system based on decision tree and rules-based models
This paper proposes a novel intrusion detection system (IDS) that combines different
classifier approaches which are based on decision tree and rules-based concepts, namely …
classifier approaches which are based on decision tree and rules-based concepts, namely …
Rdtids: Rules and decision tree-based intrusion detection system for internet-of-things networks
This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-
Things (IoT) networks. The RDTIDS combines different classifier approaches which are …
Things (IoT) networks. The RDTIDS combines different classifier approaches which are …
Blockchain and random subspace learning-based IDS for SDN-enabled industrial IoT security
The industrial control systems are facing an increasing number of sophisticated cyber
attacks that can have very dangerous consequences on humans and their environments. In …
attacks that can have very dangerous consequences on humans and their environments. In …
A novel intrusion detection model for detecting known and innovative cyberattacks using convolutional neural network
S Ho, S Al Jufout, K Dajani… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
As a tremendous amount of service being streamed online to their users along with massive
digital privacy information transmitted in recent years, the internet has become the backbone …
digital privacy information transmitted in recent years, the internet has become the backbone …
Multi-source multi-domain data fusion for cyberattack detection in power systems
Modern power systems equipped with advanced communication infrastructure are cyber-
physical in nature. The traditional approach of leveraging physical measurements for …
physical in nature. The traditional approach of leveraging physical measurements for …
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …
As a result, there is an immediate need to protect these networks from a variety of threats …