Graph neural networks for anomaly detection in industrial Internet of Things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
A survey on blockchain-based trust management for Internet of Things
Internet of Things (IoT) aims to create a vast network with billions of things that can
seamlessly create and exchange data, establishing intelligent interactions between people …
seamlessly create and exchange data, establishing intelligent interactions between people …
A survey on fuzz testing technologies for industrial control protocols
The development of the industrial Internet of Things enables industrial control systems to
become inter-networked and inter-connected, making them intelligent with high productivity …
become inter-networked and inter-connected, making them intelligent with high productivity …
Applications of sketches in network traffic measurement: A survey
Accurate and timely network traffic measurement is essential for network status monitoring,
network fault analysis, network intrusion detection, and network security management. With …
network fault analysis, network intrusion detection, and network security management. With …
[HTML][HTML] EPMDroid: Efficient and privacy-preserving malware detection based on SGX through data fusion
Android has stood at a predominant position in mobile operating systems for many years.
However, its popularity and openness make it a desirable target of malicious attackers …
However, its popularity and openness make it a desirable target of malicious attackers …
ExtendedSketch: Fusing network traffic for super host identification with a memory efficient sketch
Super host refers to the host that has a high cardinality or exhibits a big change in a network.
Facing big-volume network traffic, sketches have been widely applied to identify super hosts …
Facing big-volume network traffic, sketches have been widely applied to identify super hosts …
A framework for anomaly detection in blockchain networks with sketches
T Voronov, D Raz… - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
A blockchain is a distributed ledger composed of immutable blocks of data that often refer to
money transfers. As blockchain networks gain popularity, there is a rising concern for …
money transfers. As blockchain networks gain popularity, there is a rising concern for …
A streaming algorithm and hardware accelerator to estimate the empirical entropy of network flows
The empirical entropy is used in network traffic monitoring and classification to detect
anomalous events and manage network resources. Computing the entropy of high-speed …
anomalous events and manage network resources. Computing the entropy of high-speed …
ALSketch: An adaptive learning-based sketch for accurate network measurement under dynamic traffic distribution
Learning-based sketch improves accuracy and reduces the space overhead of traditional
sketches by using machine learning to recognize input data patterns. However, most …
sketches by using machine learning to recognize input data patterns. However, most …
MIME: Fast and Accurate Flow Information Compression for Multi-Spread Estimation
H Zhang, H Huang, YE Sun… - 2023 IEEE 31st …, 2023 - ieeexplore.ieee.org
Spread estimation is an essential issue in high-speed networks with wide applications, such
as network billing, quality of service, anomaly detection, etc. As a promising technique …
as network billing, quality of service, anomaly detection, etc. As a promising technique …