Cyber attacks have grown in sophistication and frequency, posing significant threats to data integrity, confidentiality, and availability.To counter these threats, Intrusion Detection Systems(IDS) ...

The article is providing comprehensive overview of different Intrusion Detection System (IDS) methodologies, techniques and taxonomy. Also, the most important principles are described so that the ...

In the research, a blockchain based federated learning architecture is established. All participate entities perform model ...

Abstract: This research introduces a Hybrid Intrusion Detection System (HIDS) that merges signature-based detection ... This comprehensive approach overcomes the limitations of traditional methods by ...

Safeguard your local network and all the devices in your computing setup by self-hosting these useful services on Proxmox ...

Union Minister of Ports, Shipping and Waterways, Sarbananda Sonowal led a forum of MPs to review the projects and ...

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT ...

The Business Management Agency of Universitas Negeri Jakarta (BPU UNJ), in collaboration with PT MarkAny and the Semarang ...

In Internet of Things, the network devices have been more vulnerable to various intrusion attacks. Most of the existing algorithms are trained in a ...

To detect, observe, and analyze different types of malicious TTPs in a safe environment, we can use ANY.RUN's Interactive ...

Protecting against the growing spectrum of cyber threats, including ransomware, botnets, and data theft, is fundamental for ...