Actualités

Scientific Research Publishing6 mois
Big Data & DDoS ATTACKS: A Discussion of Ensemble Algorithms to Detect Cyber Attacks - Scientific Research Publishing
The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which aim to ...
IEEE8 mois
Deep Learning Intrusion Detection and Mitigation of DoS Attacks
Internet of Things (IoT) networks are highly vulnerable to common network DoS and DDoS attacks, which flood limited system resources or IoT devices, overwhelming them with large numbers of attack ...
IEEE7 mois
Evaluating Machine Learning Approaches for DDoS Attack Detection Using CIC-DDoS2019 - IEEE Xplore
With the increasing majority of DDoS attacks, adequate detection techniques are required to protect network infrastructure. DDoS attacks are a substantial hazard to network security. The CICDDoS 2019 ...
Outlookindia9 mois
Revolutionizing DDoS Detection With Machine Learning And AI: A Groundbreaking Approach By Himmat Rathore And Team At 4th ASIANCON 2024 - Outlook India
Addressing these challenges head-on, Himmat Rathore and his research team have introduced an innovative methodology to enhance DDoS detection using Machine Learning (ML) and Explainable Artificial ...
ZDNet3 a
DDoS: Google has a new tool to defend against attacks launched by botnets | ZDNET
Google in the past has blocked mind-blowingly large DDoS attacks, including one in 2017 that clocked in at 2.56Tbps that is pinned on a Beijing-backed attacker. SEE: Security Awareness and ...
Wired7 a
A 1.3-Tbs DDoS Hit GitHub, the Largest Yet Recorded | WIRED
On Wednesday, a 1.3Tbps DDoS attack pummeled GitHub for 15-20 minutes. Here's how it stayed online.