IoT big data value map: how to generate value from IoT data

N Hajiheydari, M Talafidaryani, SH Khabiri - … e-Society, e-Learning and e …, 2019 - dl.acm.org
Huge sources of business value are emerging due to big data generated by the Internet of
Things (IoT) technologies paired with Machine Learning (ML) and Data Mining (DM) …

Detecting abnormal sensors via machine learning: An IoT farming WSN-based architecture case study

PSS de Souza, FP Rubin, R Hohemberger, TC Ferreto… - Measurement, 2020 - Elsevier
Precision Agriculture is a broad, systemic, and multidisciplinary subject, dealing with an
integrated information and technology management system, based on the concepts that the …

Importance of small probability events in big data: Information measures, applications, and challenges

R She, S Liu, S Wan, K Xiong, P Fan - IEEE Access, 2019 - ieeexplore.ieee.org
In many applications (eg, anomaly detection and security systems) of smart cities, rare
events dominate the importance of the total information on big data collected by the Internet …

Semi-Supervised transformation and deep embedding-based anomaly identification for agricultural internet of things

X Yin, L Wang, W Jia, C Jin - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
This study aims at resolving the problem of anomaly identification for network flows in
Internet of Things (IoT), and propose a novel netflow detection approach. Accurate …

[PDF][PDF] IoTSTEED: Bot-side Defense to IoT-based DDoS Attacks (Extended)

H Guo, J Heidemann - USC/Information Sciences Institute, Tech. Rep. ISI-TR …, 2020 - isi.edu
We propose IoTSTEED, a system running in edge routers to defend against Distributed
Denial-of-Service (DDoS) attacks launched from compromised Internet-of-Things (IoT) …

EASAD: efficient and accurate suspicious activity detection using deep learning model for IoT-based video surveillance

MH Wani, AR Faridi - International Journal of Information Technology, 2024 - Springer
Video surveillance on Internet of Things (IoT) devices is crucial for ensuring security and
monitoring in various environments. However, these devices often operate under significant …

Evaluating energy and thermal efficiency of anomaly detection algorithms in edge devices

FP Rubin, PSS de Souza… - 2020 International …, 2020 - ieeexplore.ieee.org
Although IoT delivers several benefits, it also raises concerns regarding privacy and
security, from revenue disruption in industrial facilities to life-threatening situations caused …

Enhanced non-parametric sequence-based learning algorithm for outlier detection in the internet of things

AE Edje, SM Abd Latiff, HW Chan - Neural Processing Letters, 2021 - Springer
Although research on outlier detection methods has been an investigation area for long, few
of those studies relate to an Internet of Things (IoT) domain. Several critical decisions taken …

Urban event detection from spatio-temporal iot sensor data using graph-based machine learning

DY Park, IY Ko - 2022 IEEE International Conference on Big …, 2022 - ieeexplore.ieee.org
The accurate detection and handling of urban events such as emergency incidents are
critical to improve the safety and convenience of people's life in urban environments …

Arquitectura distribuida para la detección de fallos en equipos industriales con mejor puntuación de precisión e índice de robustez

Y Pérez Ramos… - Ingeniería Electrónica …, 2023 - scielo.sld.cu
La creación de algoritmos y sistemas capaces de procesar y almacenar grandes cantidades
de datos representa un gran reto científico, económico y práctico. La aplicación del …