A comprehensive survey of cybersecurity threats, attacks, and effective countermeasures in Industrial Internet of things
The Industrial Internet of Things (IIoT) ecosystem faces increased risks and vulnerabilities
due to adopting Industry 4.0 standards. Integrating data from various places and converging …
due to adopting Industry 4.0 standards. Integrating data from various places and converging …
[HTML][HTML] Secure integration of 5G in industrial networks: State of the art, challenges and opportunities
S Michaelides, S Lenz, T Vogt, M Henze - Future Generation Computer …, 2024 - Elsevier
The industrial landscape is undergoing a significant transformation, moving away from
traditional wired fieldbus networks to cutting-edge 5G mobile networks. This transition …
traditional wired fieldbus networks to cutting-edge 5G mobile networks. This transition …
A false sense of security? Revisiting the state of machine learning-based industrial intrusion detection
Anomaly-based intrusion detection promises to detect novel or unknown attacks on
industrial control systems by modeling expected system behavior and raising corresponding …
industrial control systems by modeling expected system behavior and raising corresponding …
Missed opportunities: Measuring the untapped TLS support in the industrial Internet of Things
The ongoing trend to move industrial appliances from previously isolated networks to the
Internet requires fundamental changes in security to uphold secure and safe operation …
Internet requires fundamental changes in security to uphold secure and safe operation …
On using contextual correlation to detect multi-stage cyber attacks in smart grids
While the digitization of the distribution grids brings numerous benefits to grid operations, it
also increases the risks imposed by serious cyber security threats such as coordinated …
also increases the risks imposed by serious cyber security threats such as coordinated …
Can industrial intrusion detection be simple?
Cyberattacks against industrial control systems pose a serious risk to the safety of humans
and the environment. Industrial intrusion detection systems oppose this threat by …
and the environment. Industrial intrusion detection systems oppose this threat by …
SoK: Pragmatic assessment of machine learning for network intrusion detection
Machine Learning (ML) has become a valuable asset to solve many real-world tasks. For
Network Intrusion Detection (NID), however, scientific advances in ML are still seen with …
Network Intrusion Detection (NID), however, scientific advances in ML are still seen with …
XAI-IDS: Toward Proposing an Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems
O Arreche, T Guntur, M Abdallah - Applied Sciences, 2024 - mdpi.com
The exponential growth of network intrusions necessitates the development of advanced
artificial intelligence (AI) techniques for intrusion detection systems (IDSs). However, the …
artificial intelligence (AI) techniques for intrusion detection systems (IDSs). However, the …
[HTML][HTML] Simulation of multi-stage attack and defense mechanisms in smart grids
The power grid is a vital infrastructure in modern society, essential for ensuring public safety
and welfare. As it increasingly relies on digital technologies for its operation, it becomes …
and welfare. As it increasingly relies on digital technologies for its operation, it becomes …
You Cannot Escape Me: Detecting Evasions of {SIEM} Rules in Enterprise Networks
Cyberattacks have grown into a major risk for organizations, with common consequences
being data theft, sabotage, and extortion. Since preventive measures do not suffice to repel …
being data theft, sabotage, and extortion. Since preventive measures do not suffice to repel …