Securing the Industrial Internet of Things against ransomware attacks: A comprehensive analysis of the emerging threat landscape and detection mechanisms
M Al-Hawawreh, M Alazab, MA Ferrag… - Journal of Network and …, 2023 - Elsevier
Due to the complexity and diversity of Industrial Internet of Things (IIoT) systems, which
include heterogeneous devices, legacy and new connectivity protocols and systems, and …
include heterogeneous devices, legacy and new connectivity protocols and systems, and …
[HTML][HTML] A review of anomaly detection strategies to detect threats to cyber-physical systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …
components. CPS has experienced rapid growth over the past decade in fields as disparate …
[HTML][HTML] DCNNBiLSTM: An efficient hybrid deep learning-based intrusion detection system
In recent years, all real-world processes have been shifted to the cyber environment
practically, and computers communicate with one another over the Internet. As a result, there …
practically, and computers communicate with one another over the Internet. As a result, there …
[HTML][HTML] Deep learning-based intrusion detection for distributed denial of service attack in agriculture 4.0
Smart Agriculture or Agricultural Internet of things, consists of integrating advanced
technologies (eg, NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm …
technologies (eg, NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm …
X-IIoTID: A connectivity-agnostic and device-agnostic intrusion data set for industrial Internet of Things
M Al-Hawawreh, E Sitnikova… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is a high-value cyber target due to the nature of the
devices and connectivity protocols they deploy. They are easy to compromise and, as they …
devices and connectivity protocols they deploy. They are easy to compromise and, as they …
A survey of public IoT datasets for network security research
F De Keersmaeker, Y Cao… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Publicly available datasets are an indispensable tool for researchers, as they allow testing
new algorithms on a wide range of different scenarios and making scientific experiments …
new algorithms on a wide range of different scenarios and making scientific experiments …
[HTML][HTML] A Primer on the Factories of the Future
In a dynamic and rapidly changing world, customers' often conflicting demands have
continued to evolve, outstripping the ability of the traditional factory to address modern-day …
continued to evolve, outstripping the ability of the traditional factory to address modern-day …
Asynchronous peer-to-peer federated capability-based targeted ransomware detection model for industrial IoT
Industrial Internet of Thing (IIoT) systems are considered attractive ransomware targets
because they operate critical services that affect human lives and have substantial …
because they operate critical services that affect human lives and have substantial …
Trustworthy and reliable deep-learning-based cyberattack detection in industrial IoT
A fundamental expectation of the stakeholders from the Industrial Internet of Things (IIoT) is
its trustworthiness and sustainability to avoid the loss of human lives in performing a critical …
its trustworthiness and sustainability to avoid the loss of human lives in performing a critical …
IEEE P2668-compliant multi-layer IoT-DDoS defense system using deep reinforcement learning
The Internet of Things (IoT) has been attracting people to its capability to deal with smart
applications. However, with the development of IoT, there are more attacks to threaten IoT …
applications. However, with the development of IoT, there are more attacks to threaten IoT …