Machine learning approaches to IoT security: A systematic literature review

R Ahmad, I Alsmadi - Internet of Things, 2021 - Elsevier
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 …

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 …

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 comprehensive deep learning benchmark for IoT IDS

R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh - Computers & Security, 2022 - Elsevier
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 …

Budgeted online selection of candidate IoT clients to participate in federated learning

I Mohammed, S Tabatabai, A Al-Fuqaha… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

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 …