Cloud Security Alliance

Using Zero Trust to Counter Identity Spoofing & Abuse

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

High-accuracy AI models improve IoT threat detection

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 ...
TMCnet

Bramridge Trust Unveiled: Should You Join Bramridge Trust? Features, Performance, Fees & Real User Insights!

Introduction – What Is Bramridge Trust? Bramridge Trust is presented as a modern digital trading and investment ...
Que.com on MSN

AI in cybersecurity: Key benefits, risks and solutions

In today’s digital landscape, cyber threats are evolving at an unprecedented pace. Traditional security measures struggle to ...
Que.com on MSN

First autonomous robot brigade scores historic combat victory

Revolutionizing Warfare with Autonomous Robot Brigades In a landmark moment for modern military history, the world witnessed the first fully ...
IEEE

Evaluating Adversarial Resilience of Deep Reinforcement Learning Algorithms for Network Intrusion Detection

Abstract: Recent advancements in the field of cybersecurity has allowed for greater defensive technologies. The application of machine learning and artificial intelligence in cybersecurity has allowed ...
Scientific Research Publishing

Attack Detection and Alarming System on IOT Facilities Using Random Forest Enabled-Correlation Based Clustering (RF-CBC) Technique ()

1 Department of Mathematical and Computer Sciences, Faculty of Science, University of Medical Sciences, Ondo, Nigeria. 2 Department of Computer Science, University of New Haven, West Haven, USA. 3 ...
IEEE

Unsupervised Real-Time In-Kernel Intrusion Detection System Using Autoencoders and eBPF

Abstract: Traditional intrusion detection systems (IDSs), leveraging machine learning (ML) algorithms, have improved the detection accuracy of unknown attacks by continuously updating ML models but ...
GitHub

Network Intrusion Detection

Cyberattacks are escalating at a staggering rate globally. Intrusion prevention systems continuously monitor network traffic, looking for possible malicious incidents, containing the threat and ...