DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment

The Internet of Things (IoT) network infrastructures are becoming more susceptible to distributed denial of service (DDoS) attacks because of the proliferation of IoT devices.Detecting and here predicting such attacks in this complex and dynamic environment requires specialized techniques.This study presents an approach to detecting and predicting

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Debris flood hazard documentation and mitigation on the Tilcara alluvial fan (Quebrada de Humahuaca, Jujuy province, North-West Argentina)

For some decades, mass wasting processes such as landslides and debris floods have been threatening villages and transportation routes in the Rio Grande Valley, named Quebrada de Humauhuaca.One of the most significant examples is the urban area of Tilcara, built on a large alluvial fan.In recent years, debris flood phenomena have been triggered in

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