MACHINE LEARNING AND DEEP LEARNING TECHNIQUES FOR DISTRIBUTED DENIAL OF SERVICE ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKS—CURRENT RESEARCH SOLUTIONS

This state-of-the-art review comprehensively examines the landscape of Distributed Denial of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) through the lens of advanced Machine Learning (ML) and Deep Learning (DL) techniques.The application domain of this work is focused on addressing the inherent security vulnerabilities of S

This article presents the main results of an empirical study on the use of feature films in primary and secondary schools, which was carried out as part of the European Union Electric Salad Spinners project Film: A Language Without Borders in 2018.The aim of the project, by Vision Kino (Germany), the British Film Institute and the Danish Film Insti

Abstract Background Pediatric musculoskeletal injuries cause moderate to severe pain, which should ideally Axxess DSP T-Harness be addressed upon arrival to the emergency department (ED).Despite extensive research in ED-based pediatric pain treatment, recent studies confirm that pain management in this setting remains suboptimal.The No OUCH study c

This study aims to analyse the possibilities and the Ride On potential for the establishment of beer tourism, one of the most recently valorised tourism products of global gastro tourism, and more importantly the creation and professional criteria of beer routes in Hungary.With a thorough investigation of the theoretical background of beer tourism

Abstract Age-related declines in VIBRATOR RABBIT/DUAL STIM immune response pose a challenge in combating diseases later in life.Influenza (flu) infection remains a significant burden on older populations and often results in catastrophic disability in those who survive infection.Despite having vaccines designed specifically for older adults, the bu