ENHANCED NETWORK INTRUSION DETECTION SYSTEM FOR INTERNET OF THINGS SECURITY USING MULTIMODAL BIG DATA REPRESENTATION WITH TRANSFER LEARNING AND GAME THEORY

Internet of Things (IoT) applications and resources are highly vulnerable to flood attacks, including Distributed Denial of Service (DDoS) attacks.These attacks overwhelm the targeted device with numerous network packets, making its resources inaccessible to authorized users.Such attacks may comprise attack references, attack types, sub-categories,

Greece experienced an unusual heat wave in mid-May 2020, since it was observed earlier than the common Mediterranean heat wave period.On May 16th, the maximum air temperature at Kalamata (southern Greece) was 40 °C, and at Aydin (western Turkey) it was 41.6 °C.There was a significantly high climatological anomaly (ref: 1979–2009) relating to te

Since the detonation of the first atomic bomb during World War II, geopolitical issues and armed conflicts have reminded us of the threat posed by nuclear weapons in the short, medium, and long term.The potential consequences include millions of deaths and severe injuries from blast, heat, and acute ionizing radiation.Whatever the country, in the p

(1) Background: We aimed to analyze the epidemiological characteristics Pillows Multi of hemorrhagic fever with renal syndrome (HFRS) in Longyou County and to provide a basis for the future response to this disease.(2) Methods: Data on hemorrhagic fever and host animals were collected from 2011 to 2023.Descriptive methods were used to analyze the e

In order to reduce the time for customers to select commodities they are interested in, improve the purchase efficiency, improve the success rate of sales of merchants, and create greater economic benefits for enterprises and merchants, this project collects information and data of e-commerce users, using neural network model to analyze and mine da