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Using machine learning algorithms to enhance IoT system security
Nature
The term “Internet of Things” (IoT) refers to a system of networked computing devices that may work and communicate with one another without...
4 months ago
Anomalous process detection for Internet of Things based on K-Core
Frontiers
In this paper, we create a process whitelist based on the K-Core decomposition method for detecting anomalous processes in IoT devices.
5 months ago
25 Best Intrusion Detection & Prevention Systems (IDS &IPS) In 2024
CybersecurityNews
An Intrusion Detection and Prevention System (IDPS) is a security solution designed to detect and prevent unauthorized access, misuse, and modification of...
3 months ago
(PDF) Navigating the Cyber security Landscape: A Comprehensive Review of Cyber-Attacks, Emerging Trends, and Recent Developments
ResearchGate
The landscape of cyber threats encompasses various types of attacks. These include distributed denial of service (DDoS), phishing, man-in-the-middle, password...
7 months ago
A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder
Nature
Network traffic anomaly detection, as an effective analysis method for network security, can identify differentiated traffic information and...
2 months ago
A review of machine learning applications in power system protection and emergency control: opportunities, challenges, and future directions
Frontiers
Modern power systems, characterized by complex interconnected networks and renewable energy sources, necessitate innovative approaches for protection and...
3 months ago
What is an intrusion detection system (IDS)?
TechTarget
An intrusion detection system monitors (IDS) network traffic for suspicious activity and sends alerts when such activity is discovered.
34 months ago
Ensemble averaging deep neural network for botnet detection in heterogeneous Internet of Things devices
Nature
Based on experimental results, ensemble averaging DNN can detect botnet attacks in heterogeneous IoT devices with an average accuracy of 97.21, precision of 91...
7 months ago
Machine Learning for Cybersecurity 101
Towards Data Science
This article is an introduction written to give practical technical understanding of the current advances and future directions of ML research applied to...
71 months ago
Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detection
Nature
A Wireless Sensor Network (WSN) aided by the Internet of Things (IoT) is a collaborative system of WSN systems and IoT networks are work to...
8 months ago