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Network anomaly detection based on WaveNet
(Springer, 2019)
Increasing amount of attacks and intrusions against networked systems and data networks requires sensor capability. Data in modern networks, including the Internet, is often encrypted, making classical traffic analysis ...
Detecting One-Pixel Attacks Using Variational Autoencoders
(Springer, 2022)
Anomaly-Based Network Intrusion Detection Using Wavelets and Adversarial Autoencoders
(Springer, 2019)
The number of intrusions and attacks against data networks and networked systems increases constantly, while encryption has made it more difficult to inspect network traffic and classify it as malicious. In this paper, an ...
Artificial Intelligence in the IoT Era: A Review of Edge AI Hardware and Software
(FRUCT, 2022)
The modern trend of moving artificial intelligence computation near to the origin of data sources has increased the demand for new hardware and software suitable for such environments. We carried out a scoping study to ...
Chromatic and Spatial Analysis of One-Pixel Attacks Against an Image Classifier
(Springer International Publishing, 2022)
Statistical evaluation of artificial intelligence -based intrusion detection system
(Springer, 2020)
Training neural networks with captured real-world network data may fail to ascertain whether or not the network architecture is capable of learning the types of correlations expected to be present in real data.
In this ...
Food supply chain cyber threats: a scoping review
(Springer Nature, 2024)
Cyber attacks against the food supply chain could have serious effects on our society. As more networked systems control all aspects of the food supply chain, understanding these threats has become more critical. This ...






