Classification of device behaviour in internet of things infrastructures: towards distinguishing the abnormal from security threats
R Ferrando, P Stacey - Proceedings of the 1st International Conference …, 2017 - dl.acm.org
Increasingly Internet of Things (IoT) devices are being woven into the fabric of our physical
world. With this rapidly expanding pervasive deployment of IoT devices, and supporting …
world. With this rapidly expanding pervasive deployment of IoT devices, and supporting …
MDHE: A malware detection system based on trust hybrid user-edge evaluation in IoT network
X Deng, H Tang, X Pei, D Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the coming of the Internet of Things (IoT) era, malware attacks targeting IoT networks
have posed serious threats to users. Recently, the emerging of edge computing have paved …
have posed serious threats to users. Recently, the emerging of edge computing have paved …
IoMT malware detection approaches: analysis and research challenges
The advancement in Information and Communications Technology (ICT) has changed the
entire paradigm of computing. Because of such advancement, we have new types of …
entire paradigm of computing. Because of such advancement, we have new types of …
A hybrid DL-based detection mechanism for cyber threats in secure networks
The astonishing growth of sophisticated ever-evolving cyber threats and attacks throws the
entire Internet-of-Things (IoT) infrastructure into chaos. As the IoT belongs to the …
entire Internet-of-Things (IoT) infrastructure into chaos. As the IoT belongs to the …
An efficient approach to detect IoT botnet attacks using machine learning
Z Alothman, M Alkasassbeh… - Journal of High Speed …, 2020 - content.iospress.com
The numerous security loopholes in the design and implementation of many IoT devices
have rendered them an easy target for botnet attacks. Several approaches to implement …
have rendered them an easy target for botnet attacks. Several approaches to implement …
[PDF][PDF] A Lightweight IoT Cryptojacking Detection Mechanism in Heterogeneous Smart Home Networks.
Recently, cryptojacking malware has become an easy way of reaching and profiting from a
large number of victims. Prior works studied the cryptojacking detection systems focusing on …
large number of victims. Prior works studied the cryptojacking detection systems focusing on …
An ensemble of deep recurrent neural networks for detecting IoT cyber attacks using network traffic
M Saharkhizan, A Azmoodeh… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet-of-Things (IoT) devices and systems will be increasingly targeted by cybercriminals
(including nation state-sponsored or affiliated threat actors) as they become an integral part …
(including nation state-sponsored or affiliated threat actors) as they become an integral part …
Intrusion detection for IoT devices based on RF fingerprinting using deep learning
Internet of Things (IoT) and 4G/5G wireless networks have added huge number of devices
and new services, where commercial-of-the-shelf (COTS) IoT devices have been deployed …
and new services, where commercial-of-the-shelf (COTS) IoT devices have been deployed …
Specforce: A framework to secure iot spectrum sensors in the internet of battlefield things
The battlefield has evolved into a mobile and dynamic scenario where soldiers and
heterogeneous military equipment exchange information in real-time and wirelessly. This …
heterogeneous military equipment exchange information in real-time and wirelessly. This …
CPS device-class identification via behavioral fingerprinting: from theory to practice
Cyber-Physical Systems (CPS) utilize different devices to collect sensitive data,
communicate with other systems, and monitor essential processes in critical infrastructure …
communicate with other systems, and monitor essential processes in critical infrastructure …