This report summarizes an article focusing on a novel real-time DDoS attack detection mechanism based on the Multivariate Dimensionality Reduction Analysis (MDRA) algorithm within the context of Big Data. The article highlights the increasing threat of DDoS attacks, exacerbated by the rise of Big Data, and proposes the MDRA algorithm as an effective solution. The method involves three key components: traffic feature dimensionality reduction using the PCA method, traffic feature correlation analysis, and an attack detection framework. The report details the experimental setup, including dataset utilization and evaluation of key metrics such as Precision, TNR, FPR, and DR. The study compares the performance of the MDRA algorithm with previous approaches, emphasizing its efficiency and speed in detecting DDoS attacks. The report also includes a list of cited references that provides the source of information.