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

While at times the number of food safety recalls seems to be rising, in most cases, the recalls are smaller in lot size and ...

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 ...

Abstract: This study presents a machine-learning-based Network Intrusion Detection System (NIDS) designed to overcome the limitations of traditional signature-based IDS, such as low accuracy and poor ...

Abstract: This paper proposes a novel and implementable hybrid algorithm for wireless intrusion detection systems (WIDS) that combines machine learning techniques with a new post-quantum cryptography ...