IEEE

Intelligent Detection of DDoS Attacks in Software Defined Networks Using Deep Learning

Abstract: Many security issues arise due to the increasing prevalence and magnitude of DDoS attacks. This is particularly the case for Software Defined Networks that have a certain degree of ...
IEEE

Detecting DDoS Threats Using Supervised Machine Learning for Traffic Classification in Software Defined Networking

Abstract: Software-Defined Networking (SDN) is a promising solution for large-scale network management that offers extensive opportunities for optimization. However, the centralized control inherent ...
Journal of Medical Internet Research

Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

Objective: We aimed to detect depression based on user-generated diary text through an emotional diary writing app using a large language model (LLM). We aimed to validate the value of the ...
USA Today

Invasive Burmese pythons may have met their match – opossums

Wildlife researchers have found an unconventional way to help control invasive Burmese pythons in the Florida Everglades – by using one of the snakes’ favorite prey. Opossums are a key food source for ...
europesays

European Lithium’s Dual-Pronged Strategy Gains Momentum with Greenland Milestone

European Lithium sees major gains from its stake in Critical Metals’ Tanbreez project, strengthening its balance sheet and funding a share buyback program. European Lithium Ltd. is capitalizing on a ...