Machine learning approaches to IoT security: A systematic literature review
With the continuous expansion and evolution of IoT applications, attacks on those IoT
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
A survey on device fingerprinting approach for resource-constraint IoT devices: comparative study and research challenges
RR Chowdhury, PE Abas - Internet of Things, 2022 - Elsevier
Modernization and technological advancement have made smart and convenient living
environments, including smart houses and smart cities, possible, by combining the Internet …
environments, including smart houses and smart cities, possible, by combining the Internet …
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 …
A comprehensive deep learning benchmark for IoT IDS
The significance of an intrusion detection system (IDS) in networks security cannot be
overstated in detecting and responding to malicious attacks. Failure to detect large-scale …
overstated in detecting and responding to malicious attacks. Failure to detect large-scale …
Budgeted online selection of candidate IoT clients to participate in federated learning
Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing
smart services to the industry. These techniques, however, suffer from privacy and security …
smart services to the industry. These techniques, however, suffer from privacy and security …
A survey of smart home iot device classification using machine learning-based network traffic analysis
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 …
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …
Locality-sensitive iot network traffic fingerprinting for device identification
B Charyyev, MH Gunes - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Engineered systems get smarter with computing capabilities, particularly through a multitude
of Internet-of-Things (IoT) devices. IoT devices, however, are prone to be compromised as …
of Internet-of-Things (IoT) devices. IoT devices, however, are prone to be compromised as …
Fully textile dual-band logo antenna for IoT wearable devices
GL Atanasova, BN Atanasov, NT Atanasov - Sensors, 2022 - mdpi.com
In recent years, the interest in the Internet of Things (IoT) has been growing because this
technology bridges the gap between the physical and virtual world, by connecting different …
technology bridges the gap between the physical and virtual world, by connecting different …
Integration of Heterogeneous Sensor Systems for Disaster Responses in Smart Cities: Flooding as an Example
JH Hong, YT Shi - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Smart cities represent a new perspective on modern urban development. They involve an
information infrastructure environment with application intelligence to improve operational …
information infrastructure environment with application intelligence to improve operational …
Transformer-based device-type identification in heterogeneous IoT traffic
Y Luo, X Chen, N Ge, W Feng… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Due to the heterogeneity of Internet of Things (IoT) devices and the diversity of IoT
communication protocols, it is challenging to model the communication behaviors of IoT …
communication protocols, it is challenging to model the communication behaviors of IoT …