Abstract: In the last decade, with the increase in cyberattacks the privacy of network traffic has become a critical issue. Currently, simple network intrusion detection techniques are inefficient in ...
An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository
Abstract: The number of exploits of Docker images involving the injection of adversarial behaviors into the image’s layers is increasing immensely. Docker images are a fundamental component of Docker.
Accurately quantifying forest volume and identifying its driving mechanisms are critical for achieving carbon neutrality objectives. Using data from the National Forest Inventory (NFI), plot-level ...
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