Intrusion detection protocols in wireless sensor networks integrated to Internet of Things deployment: Survey and future challenges
As we all know that the technology is projected to be next to humans very soon because of
its holistic growth. Now-a-days, we see a lot of applications that are making our lives …
its holistic growth. Now-a-days, we see a lot of applications that are making our lives …
Security in 5G-enabled internet of things communication: issues, challenges, and future research roadmap
5G mobile communication systems promote the mobile network to not only interconnect
people, but also interconnect and control the machine and other devices. 5G-enabled …
people, but also interconnect and control the machine and other devices. 5G-enabled …
LightLog: A lightweight temporal convolutional network for log anomaly detection on the edge
Log anomaly detection on edge devices is the key to enhance edge security when
deploying IoT systems. Despite the success of many newly proposed deep learning based …
deploying IoT systems. Despite the success of many newly proposed deep learning based …
A multilayer deep learning approach for malware classification in 5G-enabled IIoT
5G is becoming the foundation for the Industrial Internet of Things (IIoT) enabling more
effective low-latency integration of artificial intelligence and cloud computing in a framework …
effective low-latency integration of artificial intelligence and cloud computing in a framework …
[HTML][HTML] Tools and Techniques for Collection and Analysis of Internet-of-Things malware: A systematic state-of-art review
IoT devices which include wireless sensors, software, actuators, and computer devices
operated through the Internet, enable the transfer of data among objects or people …
operated through the Internet, enable the transfer of data among objects or people …
An intrusion detection system using BoT-IoT
S Alosaimi, SM Almutairi - Applied Sciences, 2023 - mdpi.com
The rapid growth of the Internet of Things (IoT) has led to an increased automation and
interconnectivity of devices without requiring user intervention, thereby enhancing the …
interconnectivity of devices without requiring user intervention, thereby enhancing the …
Approach for detecting attacks on IoT networks based on ensemble feature selection and deep learning models
The Internet of Things (IoT) has transformed our interaction with technology and introduced
security challenges. The growing number of IoT attacks poses a significant threat to …
security challenges. The growing number of IoT attacks poses a significant threat to …
A review of performance, energy and privacy of intrusion detection systems for IoT
Internet of Things (IoT) forms the foundation of next generation infrastructures, enabling
development of future cities that are inherently sustainable. Intrusion detection for such …
development of future cities that are inherently sustainable. Intrusion detection for such …
IoT-based smart environment using intelligent intrusion detection system
G Kalnoor, S Gowrishankar - Soft Computing, 2021 - Springer
One of the most basic characteristic features of every smart device in a network based on the
Internet of Things (IoT) is to gather a larger set of data that has been created and then …
Internet of Things (IoT) is to gather a larger set of data that has been created and then …
SoK: Pragmatic assessment of machine learning for network intrusion detection
G Apruzzese, P Laskov… - 2023 IEEE 8th European …, 2023 - ieeexplore.ieee.org
Machine Learning (ML) has become a valuable asset to solve many real-world tasks. For
Network Intrusion Detection (NID), however, scientific advances in ML are still seen with …
Network Intrusion Detection (NID), however, scientific advances in ML are still seen with …