Stepping out of the MUD: Contextual threat information for IoT devices with manufacturer-provided behavior profiles
Besides coming with unprecedented benefits, the Internet of Things (IoT) suffers deficits in
security measures, leading to attacks increasing every year. In particular, network …
security measures, leading to attacks increasing every year. In particular, network …
[HTML][HTML] Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review
SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A systematic review
Internet of Things (IoT) technology is prospering and entering every part of our lives, be it
education, home, vehicles, or healthcare. With the increase in the number of connected …
education, home, vehicles, or healthcare. With the increase in the number of connected …
Internet of Things attack detection using hybrid Deep Learning Model
Abstract The Internet of Things (IoT) has become a very popular area of research due to its
large-scale implementation and challenges. However, security is the key concern while …
large-scale implementation and challenges. However, security is the key concern while …
[HTML][HTML] Towards near-real-time intrusion detection for IoT devices using supervised learning and apache spark
V Morfino, S Rampone - Electronics, 2020 - mdpi.com
In the fields of Internet of Things (IoT) infrastructures, attack and anomaly detection are rising
concerns. With the increased use of IoT infrastructure in every domain, threats and attacks in …
concerns. With the increased use of IoT infrastructure in every domain, threats and attacks in …
Intrusion detection based on machine learning in the internet of things, attacks and counter measures
E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …
[HTML][HTML] SEHIDS: Self evolving host-based intrusion detection system for IoT networks
M Baz - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) offers unprecedented opportunities to access anything from
anywhere and at any time. It is, therefore, not surprising that the IoT acts as a paramount …
anywhere and at any time. It is, therefore, not surprising that the IoT acts as a paramount …
HADS: Hybrid anomaly detection system for IoT environments
IoT (Internet of Things) devices are rapidly becoming popular in residential environments,
but security is still a big concern in this ecosystem. The fast growth of IoT devices in homes …
but security is still a big concern in this ecosystem. The fast growth of IoT devices in homes …
Research on DDoS attack detection based on ELM in IoT environment
Z Li, L Wei, W Li, L Wei, M Chen, M Lv… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
There are many Distributed Denial of Service (DDoS) attack accidents in the world, which
use the Internet of Things (IoT) devices to launch attacks and make network unavailable …
use the Internet of Things (IoT) devices to launch attacks and make network unavailable …