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[HTML][HTML] IoT anomaly detection methods and applications: A survey
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …
expanding field. This growth necessitates an examination of application trends and current …
[HTML][HTML] A review of machine learning and deep learning techniques for anomaly detection in IoT data
Anomaly detection has gained considerable attention in the past couple of years. Emerging
technologies, such as the Internet of Things (IoT), are known to be among the most critical …
technologies, such as the Internet of Things (IoT), are known to be among the most critical …
Ad-iot: Anomaly detection of iot cyberattacks in smart city using machine learning
In recent years, the wide adoption of the modern Internet of Things (IoT) paradigm has led to
the invention of smart cities. Smart cities operate in real-world time to promote ease and …
the invention of smart cities. Smart cities operate in real-world time to promote ease and …
Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends
IoT based smart agriculture systems are important for efficient usage of lands, water, and
energy resources. Wireless communication protocols constitute a critical part of smart …
energy resources. Wireless communication protocols constitute a critical part of smart …
Security in 5G and beyond recent advances and future challenges
Abstract 5G, 6G, and beyond (xG) technologies aim at delivering emerging services with
new requirements and challenges, enabling full and hyper mobile connectivity over the …
new requirements and challenges, enabling full and hyper mobile connectivity over the …
Towards network-aware resource provisioning in kubernetes for fog computing applications
Nowadays, the Internet of Things (IoT) continues to expand at enormous rates. Smart Cities
powered by connected sensors promise to transform public services from transportation to …
powered by connected sensors promise to transform public services from transportation to …
[HTML][HTML] A survey of outlier detection techniques in IoT: Review and classification
The Internet of Things (IoT) is a fact today where a high number of nodes are used for
various applications. From small home networks to large-scale networks, the aim is the …
various applications. From small home networks to large-scale networks, the aim is the …
Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities
An anomaly exposure system's foremost objective is to categorize the behavior of the system
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
Unsupervised gan-based intrusion detection system using temporal convolutional networks and self-attention
Fifth-generation (5G) networks provide connectivity to a massive number of devices and
boost a plethora of applications in several different domains. However, the large adoption of …
boost a plethora of applications in several different domains. However, the large adoption of …
Leveraging power consumption for anomaly detection on IoT devices in smart homes
Anomaly detection in smart homes is paramount in the prevailing information age as smart
devices remain susceptible to sophisticated cyber-attacks. Hackers exploit vulnerabilities …
devices remain susceptible to sophisticated cyber-attacks. Hackers exploit vulnerabilities …