Explore modern identity-based attacks and how to defend against them using Zero Trust. Define and differentiate between ...

Monday cybersecurity recap on evolving threats, trusted tool abuse, stealthy in-memory attacks, and shifting access patterns.

Attackers aren't breaking into your house; they’re using your own spare key to hide in plain sight. We need to stop assuming ...

Danquah, P. and Bekoe, S. (2026) Cyber Deception and Theft: A Critical Review. Journal of Information Security, 17, 149-166.

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Real-time network traffic analysis Rule-based intrusion detection Alert generation for suspicious activities Logging and reporting of detected intrusions before the installation run "ifconfig" get the ...

This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...

The accelerating sophistication of cyberattacks poses unprecedented challenges for national security, critical infrastructures, and global digital resilience. Traditional signature-based defenses have ...

Abstract: Cyber attacks on power grids are imminent and potentially have a severe impact, as evidenced by the cyber attacks in Ukraine in 2015, 2016, and 2022. In response to this challenge, machine ...