Design and development of a deep learning-based model for anomaly detection in IoT networks
I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
The growing development of IoT (Internet of Things) devices creates a large attack surface
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …
Security analysis of network anomalies mitigation schemes in IoT networks
The Internet of Things (IoT) is on the rise and it is giving a new shape to several fields such
as smart cities, smart homes, smart health, etc. as it facilitates the connection of physical …
as smart cities, smart homes, smart health, etc. as it facilitates the connection of physical …
DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks
N Moustafa, M Keshk, KKR Choo, T Lynar… - Future Generation …, 2021 - Elsevier
There are various data management and security tools deployed at the cloud for storing and
analyzing big data generated by the Internet of Things (IoT) and Industrial IoT (IIoT) systems …
analyzing big data generated by the Internet of Things (IoT) and Industrial IoT (IIoT) systems …
[HTML][HTML] Accurate threat hunting in industrial internet of things edge devices
Abstract Industrial Internet of Things (IIoT) systems depend on a growing number of edge
devices such as sensors, controllers, and robots for data collection, transmission, storage …
devices such as sensors, controllers, and robots for data collection, transmission, storage …
Anomaly detection and trust authority in artificial intelligence and cloud computing
The rapid development of smart Internet of Things (IoT) and its multimedia applications with
conventional cloud and edge computing platforms are driving a new trend that shifts the …
conventional cloud and edge computing platforms are driving a new trend that shifts the …
[PDF][PDF] Anomaly Detection for Industrial Internet of Things Cyberattacks.
R Alanazi, A Aljuhani - Computer Systems Science & …, 2023 - cdn.techscience.cn
The evolution of the Internet of Things (IoT) has empowered modern industries with the
capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …
capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …
Detecting dos attack in smart home iot devices using a graph-based approach
The use of the Internet of Things (IoT) devices has surged in recent years. However, due to
the lack of substantial security, IoT devices are vulnerable to cyber-attacks like Denial-of …
the lack of substantial security, IoT devices are vulnerable to cyber-attacks like Denial-of …
Dynamic management of a deep learning-based anomaly detection system for 5G networks
L Fernández Maimó, A Huertas Celdrán… - Journal of Ambient …, 2019 - Springer
Fog and mobile edge computing (MEC) will play a key role in the upcoming fifth generation
(5G) mobile networks to support decentralized applications, data analytics and management …
(5G) mobile networks to support decentralized applications, data analytics and management …
Effective anomaly detection using deep learning in IoT systems
Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …
concerning IoT devices, which are quickly spreading throughout various situations of …
Towards sFlow and adaptive polling sampling for deep learning based DDoS detection in SDN
Abstract Distributed Denial of Service (DDoS) is one of the most rampant attacks in the
modern Internet of Things (IoT) network infrastructures. Security plays a very vital role for an …
modern Internet of Things (IoT) network infrastructures. Security plays a very vital role for an …