Big data privacy in smart farming: a review
Smart farming aims to improve farming using modern technologies and smart devices. Smart
devices help farmers to collect and analyze data regarding different aspects of their …
devices help farmers to collect and analyze data regarding different aspects of their …
[HTML][HTML] Securing cloud-based internet of things: challenges and mitigations
The Internet of Things (IoT) has seen remarkable advancements in recent years, leading to a
paradigm shift in the digital landscape. However, these technological strides have …
paradigm shift in the digital landscape. However, these technological strides have …
IoT-enabled smart agriculture: security issues and applications
Abstract The Internet of Things (IoT) harmonizes existing technologies, such as wireless
sensors and cloud computing, to form a homogeneous and powerful environment. Hence …
sensors and cloud computing, to form a homogeneous and powerful environment. Hence …
Anomaly detection for electric energy consumption in smart farms
YB Lin, YW Lin, LH Kao - IEEE Transactions on AgriFood …, 2023 - ieeexplore.ieee.org
Electric energy prediction is an important issue and has been studied for many years. The
prediction approaches have evolved from traditional statistical methods, conventional …
prediction approaches have evolved from traditional statistical methods, conventional …
[PDF][PDF] IoT in the Cloud: Exploring Security Challenges and Mitigations for a Connected World
ABSTRACT The Internet of Things (IoT) has seen remarkable advancements in recent years,
leading to a paradigm shift in the digital landscape. However, these technological strides …
leading to a paradigm shift in the digital landscape. However, these technological strides …
A temporal anomaly detection system for vehicles utilizing functional working groups and sensor channels
A modern vehicle fitted with sensors, actuators, and Electronic Control Units (ECUs) can be
divided into several operational subsystems called Functional Working Groups (FWGs) …
divided into several operational subsystems called Functional Working Groups (FWGs) …
[HTML][HTML] Efficient federated transfer learning-based network anomaly detection for cooperative smart farming infrastructure
Precision agriculture has emerged as a vital solution to meet the food demands of the
growing global population. However, the high upfront costs of sensors, data analytics tools …
growing global population. However, the high upfront costs of sensors, data analytics tools …
Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability
Anomaly detection (AD), also referred to as outlier detection, is a statistical process aimed at
identifying observations within a dataset that significantly deviate from the expected pattern …
identifying observations within a dataset that significantly deviate from the expected pattern …
An Approach for Detecting Complications in Agriculture Using Deep Learning and Anomaly-Based Diagnosis
Deep learning employs the homogeneous of features to identify anomalies using outlier
detection. To minimise the farmers effort along with cost efficient, smart farming is …
detection. To minimise the farmers effort along with cost efficient, smart farming is …