UAV-assisted IoT applications, cybersecurity threats, AI-enabled solutions, open challenges with future research directions

M Adil, H Song, S Mastorakis… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …

[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

Boosting-based DDoS detection in internet of things systems

I Cvitić, D Perakovic, BB Gupta… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Distributed Denial-of-Service (DDoS) attacks remain challenging to mitigate in the existing
systems, including in-home networks that comprise different Internet of Things (IoT) devices …

[HTML][HTML] Ensemble machine learning approach for classification of IoT devices in smart home

I Cvitić, D Peraković, M Periša, B Gupta - International Journal of Machine …, 2021 - Springer
The emergence of the Internet of Things (IoT) concept as a new direction of technological
development raises new problems such as valid and timely identification of such devices …

A deep learning approach for intrusion detection in Internet of Things using focal loss function

AS Dina, AB Siddique, D Manivannan - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …

Network abnormal traffic detection model based on semi-supervised deep reinforcement learning

S Dong, Y **a, T Peng - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
The rapid development of Internet technology has brought great convenience to our
production life, and the ensuing security problems have become increasingly prominent …

Peek-a-boo: I see your smart home activities, even encrypted!

A Acar, H Fereidooni, T Abera, AK Sikder… - Proceedings of the 13th …, 2020 - dl.acm.org
A myriad of IoT devices such as bulbs, switches, speakers in a smart home environment
allow users to easily control the physical world around them and facilitate their living styles …

IoT DoS and DDoS attack detection using ResNet

F Hussain, SG Abbas, M Husnain… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
The network attacks are increasing both in frequency and intensity with the rapid growth of
internet of things (IoT) devices. Recently, denial of service (DoS) and distributed denial of …

Iotfinder: Efficient large-scale identification of iot devices via passive dns traffic analysis

R Perdisci, T Papastergiou, O Alrawi… - 2020 IEEE european …, 2020 - ieeexplore.ieee.org
Being able to enumerate potentially vulnerable IoT devices across the Internet is important,
because it allows for assessing global Internet risks and enables network operators to check …

A survey of smart home iot device classification using machine learning-based network traffic analysis

H Jmila, G Blanc, MR Shahid, M Lazrag - IEEe Access, 2022 - ieeexplore.ieee.org
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …