Ad-iot: Anomaly detection of iot cyberattacks in smart city using machine learning
I Alrashdi, A Alqazzaz, E Aloufi… - 2019 IEEE 9th …, 2019 - ieeexplore.ieee.org
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 …
Fog computing-based intrusion detection architecture to protect iot networks
Y Labiod, A Amara Korba, N Ghoualmi - Wireless Personal …, 2022 - Springer
With the deployment of billions of Internet of Things (IoT) devices, more and more cyber
attacks involving or even targeting such devices are rife. Cyberattack vectors are in constant …
attacks involving or even targeting such devices are rife. Cyberattack vectors are in constant …
Anomaly detection on iot network intrusion using machine learning
Enhancing the security of IoT networks is trending as one of the most crucial issues the
information technology community faces. With large scales of IoT devices being developed …
information technology community faces. With large scales of IoT devices being developed …
Fog-assisted SDN controlled framework for enduring anomaly detection in an IoT network
Extensive adoption of intelligent devices with ubiquitous connectivity has increased Internet
of Things (IoT) traffic tremendously. The smart devices promise to improve human life …
of Things (IoT) traffic tremendously. The smart devices promise to improve human life …
Cyberattacks detection in iot-based smart city applications using machine learning techniques
In recent years, the widespread deployment of the Internet of Things (IoT) applications has
contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies …
contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies …
Design of anomaly-based intrusion detection system using fog computing for IoT network
With increase in the demand for Internet of Things (IoT)-based services, the capability to
detect anomalies such as malicious control, spying and other threats within IoT-based …
detect anomalies such as malicious control, spying and other threats within IoT-based …
Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset
IoT devices are susceptible to numerous cyber-attacks due to its low power, low
computational requirements and controlled environment that make it hard to implement …
computational requirements and controlled environment that make it hard to implement …
Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
Anomaly-based intrusion detection approach for IoT networks using machine learning
P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …
cities or smart home facilitate communication between various objects. Nevertheless, this …
An anomaly mitigation framework for iot using fog computing
The advancement in IoT has prompted its application in areas such as smart homes, smart
cities, etc., and this has aided its exponential growth. However, alongside this development …
cities, etc., and this has aided its exponential growth. However, alongside this development …