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Improved DDoS Attack Detection Through PCA-Enhanced Ensemble Machine Learning Approach Abstract: Distributed Denial-of-Service (DDoS) attacks pose a serious threat to network infrastructure by ...
Risk management is relevant for every project that which seeks to avoid and suppress unanticipated costs, basically calling for pre-emptive action. The current work proposes a new approach for ...
About An intrusion detection system using Machine Learning to bolster cybersecurity in network applications. The project applies : Crisp-DM, Data Preprocessing, RFE, PCA, Clas- sification (Logistic ...
Malware had been a problem for quite some times since it spreads easily and can cause various problems. Currently, malware is also one of the big threats for internet users. With a huge number of ...
Project Causica aims to develop machine learning solutions for efficient decision making that demonstrate human expert-level performance across all domains.