The enormous growth in computer networks and in Internet usage in recent years, combined with the growth in the amount of data exchanged over networks, have shown an exponential increase in the amount

Mendeley Data2024-03-27 更新440

LATAM-DDoS-IoT dataset

物联网安全

DDoS攻击

Intrusion Detection Systems based on Artificial Intelligence need robust data sources in order to achieve strong generalization levels from the knowledge domain of interest. Anomaly detection is a wel

DataCite Commons2025-04-16 更新230

Results for scheme by Shrestha et al. from "Perils of Zero-Interaction Security in the Internet of Things"

物联网安全

零交互安全

This deposit contains the results from the evaluation of the paper by Shrestha et al. in the paper "Perils of Zero Interaction Security in the Internet of Things" by Mikhail Fomichev, Max Maass, Lars

Mendeley Data2024-03-27 更新100

UQ-IoT-IDS2021

物联网安全

入侵检测

UQ-IOT-IDS-2021 dataset contains benign traffic of IoT devices, including smartphones, smart TV, IP cameras, smart speakers, Raspberry Pis, etc., and malicious traffic from 9 types of cyberattacks, in

Mendeley Data2024-01-31 更新420

Cyberattacks experienced by U.S. companies 2023

网络安全

网络攻击

In 2023, network intrusion was the most common type of cybercrime attack experienced by companies in the United States, accounting for 51 percent of incidents. Business e-mail compromise (BEC) ranked