ADVANCEMENTS IN DETECTING, PREVENTING, AND MITIGATING DDOS ATTACKS IN CLOUD ENVIRONMENTS: A COMPREHENSIVE SYSTEMATIC REVIEW OF STATE-OF-THE-ART APPROACHES

Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art approaches

This comprehensive study examines cutting-edge strategies for combating Distributed Denial of Service (DDoS) attacks in cloud environments, addressing a critical gap in recent literature.Through a systematic review of the latest advancements, we propose a framework for identifying, preventing, and mitigating DDoS threats specifically tailored to cl

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CRISPR-Mediated Drug-Target Validation Reveals Selective Pharmacological Inhibition of the RNA Helicase, eIF4A

Targeting translation initiation is an emerging anti-neoplastic strategy that capitalizes on de-regulated upstream MAPK and PI3K-mTOR signaling pathways in cancers.A key regulator of translation that controls ribosome recruitment flux is eukaryotic initiation factor (eIF) 4F, a Basket Handle hetero-trimeric complex composed of the cap binding prote

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Deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected network for short-term wind power prediction

The dependence of wind power on the natural environment leads to volatility, which can cause hidden dangers to the safe and stable operation of the power grid.In this work, a deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected prediction network is proposed for the short-term prediction issue of wind power generation, and th

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