and websites by flooding them with traffic in distributed denial-of-service (DDoS) attacks and causing outages for real users. The six DDoS services, named CfxAPI, CfxSecurity, NeoStress ...

"We want to be able to predict or identify many problems using technology like this. Whether that's heart attacks or seizures or dementia. The detection of a disease or condition depends on the ...

The FBI warned that cybercriminals using AI-generated audio deepfakes to target U.S. officials in voice phishing attacks that started in April. This warning is part of a public service ...

Ahmed Jaha, a member of the House of Representatives, has stated that Boko Haram insurgents are using drones to carry out attacks on residents in Borno State. The All Progressives Congress (APC ...

Explore a strategic 2025 roadmap for cybersecurity leaders to tackle GenAI, insider risks, and team burnout with actionable guidance.

By using the power of ... solving key challenges like stopping DoS/DDoS attacks, managing aggressive bots, and preventing full disk/inode issues through machine learning and automation.

But satellite imagery indicates that while the attacks were widespread, the damage was far more contained than claimed — and appeared mostly inflicted by India on Pakistani facilities.

To cope with it, this paper proposes an efficient information processing framework and applies it to Distributed Denial of Service (DDoS) attack detection. Overall, three major highlights are made: (i ...

Even though advanced Machine Learning (ML) techniques have been adopted for DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML-based DDoS detection approaches ...