A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets
In the current network-based computing world, where the number of interconnected devices
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
A survey on observability of distributed edge & container-based microservices
Edge computing is proposed as a technical enabler for meeting emerging network
technologies (such as 5G and Industrial Internet of Things), stringent application …
technologies (such as 5G and Industrial Internet of Things), stringent application …
Siamese neural network based few-shot learning for anomaly detection in industrial cyber-physical systems
With the increasing population of Industry 4.0, both AI and smart techniques have been
applied and become hotly discussed topics in industrial cyber-physical systems (CPS) …
applied and become hotly discussed topics in industrial cyber-physical systems (CPS) …
Detection of low-frequency and multi-stage attacks in industrial internet of things
X Li, M Xu, P Vijayakumar, N Kumar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The increasingly sophisticated cyber attacks have become a serious challenge for Industrial
Internet of Things (IIoT), which presents two new characteristics: low frequency and multi …
Internet of Things (IIoT), which presents two new characteristics: low frequency and multi …
Adversarial training of LSTM-ED based anomaly detection for complex time-series in cyber-physical-social systems
With the development and maturity of smart cities, more and more Cyber-Physical-Social
Systems (CPSSs) need to monitor a variety of time-series data from sensors and network …
Systems (CPSSs) need to monitor a variety of time-series data from sensors and network …
Accurate Anomaly Detection with Energy-Efficiency in IoT-Edge-Cloud Collaborative Networks
With the applicability of edge intelligence in various domains, anomaly detection, which
aims to identify unusual and infrequent circumstances, is regarded as a regularly performed …
aims to identify unusual and infrequent circumstances, is regarded as a regularly performed …
[PDF][PDF] A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration at IoT Edge Devices and Containerized Cluster System.
A Samir, HD Johansen - ICISSP, 2023 - scitepress.org
Misconfiguration of IoT edge devices and containerized backend components can lead to
various complications like performance degradation, non-compliant data flows, and external …
various complications like performance degradation, non-compliant data flows, and external …
A systematic review on anomaly detection for cloud computing environments
T Hagemann, K Katsarou - Proceedings of the 2020 3rd Artificial …, 2020 - dl.acm.org
The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …
the field of cloud computing in several different ways: from the detection of various types of …
Oppositional tunicate fuzzy C‐means algorithm and logistic regression for intrusion detection on cloud
P Kanimozhi… - … : Practice and Experience, 2022 - Wiley Online Library
Cloud computing is the most popular emerging computational model in information
technology. The data communication security requirement is increased day by day with the …
technology. The data communication security requirement is increased day by day with the …
A real-time adaptive network intrusion detection for streaming data: a hybrid approach
MM Saeed - Neural Computing and Applications, 2022 - Springer
This study aimed at improving the performance of classifiers when trained to identify
signatures of unknown attacks. Furthermore, this paper addresses the following …
signatures of unknown attacks. Furthermore, this paper addresses the following …