How a Brute Force Attack Unmasked a Ransomware Infrastructure Network

A routine RDP brute-force alert led to unusual credential hunting and a geo-distributed VPN-linked infrastructure. Huntress Labs explains how one compromised login unraveled a suspected ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Network World

Network Security

Beyond firewalls and perimeter security, a zero trust architecture allows security officials to better protect data and system access to both outsider and insider threats, adopting a mantra of “trust ...
IEEE

An improved network intrusion detection technique based on k-means clustering via Naïve bayes classification

Abstract: As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the network. Due to ...
IEEE

Enhancing Credit Card Fraud Detection: A Comparative Analysis of Artificial Neural Networks, k-NN, and Naive Bayes Classifiers

Abstract: This paper conducts a comparative study of three machine learning algorithms—artificial neural networks (ANNs), k-Nearest Neighbors (k-NNs), and Naive Bayes (NB)—for irregular payment card ...
GitHub

DailyActie/AI_DL_NET-SNNs

Tensorflow 1.4 already has the function "tf.nn.selu" and "tf.contrib.nn.alpha_dropout" that implement the SELU activation function and the suggested dropout version.