UAV-assisted IoT applications, cybersecurity threats, AI-enabled solutions, open challenges with future research directions
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …
emerged as a powerful integrated technology, showcasing remarkable results in many …
A survey on IoT profiling, fingerprinting, and identification
The proliferation of heterogeneous Internet of things (IoT) devices connected to the Internet
produces several operational and security challenges, such as monitoring, detecting, and …
produces several operational and security challenges, such as monitoring, detecting, and …
[HTML][HTML] Ensemble machine learning approach for classification of IoT devices in smart home
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 …
development raises new problems such as valid and timely identification of such devices …
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 …
systems, including in-home networks that comprise different Internet of Things (IoT) devices …
Peek-a-boo: I see your smart home activities, even encrypted!
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 …
allow users to easily control the physical world around them and facilitate their living styles …
Network abnormal traffic detection model based on semi-supervised deep reinforcement learning
The rapid development of Internet technology has brought great convenience to our
production life, and the ensuing security problems have become increasingly prominent …
production life, and the ensuing security problems have become increasingly prominent …
A deep learning approach for intrusion detection in Internet of Things using focal loss function
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …
transportation, manufacturing, military, agriculture, and other industries. However, for the …
IoT DoS and DDoS attack detection using ResNet
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 …
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 …
because it allows for assessing global Internet risks and enables network operators to check …
An integrated intrusion detection system using correlation‐based attribute selection and artificial neural network
I Sumaiya Thaseen, J Saira Banu… - Transactions on …, 2021 - Wiley Online Library
Serious concerns regarding vulnerability and security have been raised as a result of the
constant growth of computer networks. Intrusion detection systems (IDS) have been adopted …
constant growth of computer networks. Intrusion detection systems (IDS) have been adopted …