A review of digital twins and their application in cybersecurity based on artificial intelligence
M Homaei, Ó Mogollón-Gutiérrez, JC Sancho… - Artificial Intelligence …, 2024 - Springer
The potential of digital twin technology is yet to be fully realised due to its diversity and
untapped potential. Digital twins enable systems' analysis, design, optimisation, and …
untapped potential. Digital twins enable systems' analysis, design, optimisation, and …
The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users
K Dietz, M Mühlhauser, J Kögel, S Schwinger… - IEEE …, 2024 - ieeexplore.ieee.org
Intrusion Detection Systems (IDS) tackle the challenging task of detecting network attacks as
fast as possible. As this is getting more complex in modern enterprise networks, Artificial …
fast as possible. As this is getting more complex in modern enterprise networks, Artificial …
Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats
VSS Vennam, CD Paternina-Arboleda… - International Conference …, 2024 - Springer
The port sector is evolving, influencing areas such as operations, infrastructure, governance,
technology, partnerships, and commercial strategies. AI can significantly improve the …
technology, partnerships, and commercial strategies. AI can significantly improve the …
Explore Patterns to Detect Sybil Attack during Federated Learning in Mobile Digital Twin Network
Digital twins represent users in the cyber world and interact between users and network
controllers to better manage the mobile network. Due to communications and other resource …
controllers to better manage the mobile network. Due to communications and other resource …
Blockchain-aided Collaborative Threat Detection for Securing Digital Twin-based IIoT Networks
The distributed and heterogeneous connections in the digital twin (DT)-based industrial
Internet of Things (IIoT) are vulnerable to cyber-attacks and malicious activities. This study …
Internet of Things (IIoT) are vulnerable to cyber-attacks and malicious activities. This study …
Poisoning Attack in Machine Learning Based Invalid Ad Traffic Detection
Along with the growing market of mobile advertising, click farm that leverages large-scale
fake devices to conduct ad fraud is becoming a major threats against mobile advertising …
fake devices to conduct ad fraud is becoming a major threats against mobile advertising …
[PDF][PDF] The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users
J KÖGEL, S SCHWINGER, M SICHERMANN - 2024 - opus.bibliothek.uni-augsburg.de
ABSTRACT Intrusion Detection Systems (IDS) tackle the challenging task of detecting
network attacks as fast as possible. As this is getting more complex in modern enterprise …
network attacks as fast as possible. As this is getting more complex in modern enterprise …
[引用][C] Data Poisoning-Robust Decentralized Digital Twin-based Network Intrusion Detection in IIoT
This study introduces a data poisoning-robust decentralized digital twin (DT)-based cyber
threat detection in industrial Internet of Things (IIoT) networks. We first model the data …
threat detection in industrial Internet of Things (IIoT) networks. We first model the data …