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 …

A deep learning approach for classifying network connected IoT devices using communication traffic characteristics

RR Chowdhury, AC Idris, PE Abas - Journal of Network and Systems …, 2023 - Springer
Abstract The Internet of Things can be considered a technological revolution and has
successfully merged the physical world with the digital world. However, heterogeneous IoT …

AI‐Enabled Learning Architecture Using Network Traffic Traces over IoT Network: A Comprehensive Review

N Aneja, S Aneja, B Bhargava - Wireless Communications and …, 2023 - Wiley Online Library
WiFi and private 5G networks, commonly referred to as P5G, provide Internet of Things (IoT)
devices the ability to communicate at fast speeds, with low latency and with a high capacity …

Device fingerprinting using deep convolutional neural networks

S Aneja, N Aneja, B Bhargava… - International Journal …, 2022 - inderscienceonline.com
Device fingerprinting is a problem of identifying a network device using network traffic data
to secure against cyber-attacks. Automated device classification from a large set of network …

Identifying SH-IoT devices from network traffic characteristics using random forest classifier

RR Chowdhury, AC Idris, PE Abas - Wireless Networks, 2024 - Springer
In the cyberspace, device identification has become one of the most important factors in
improving security of a network, containing both Internet of Things (IoT) and non-IoT devices …

Enhancing smart home device identification in wifi environments for futuristic smart networks-based iot

HF Fakhruldeen, MJ Saadh, S Khan, NA Salim… - International Journal of …, 2024 - Springer
The recognition of smart home devices within WiFi environments stands as a pivotal focus
within contemporary Internet of Things (IoT) security, especially in the context of Futuristic …

Device identification using optimized digital footprints

RR Chowdhury, AC Idris, PE Abas - arXiv preprint arXiv:2212.04354, 2022 - arxiv.org
The rapidly increasing number of internet of things (IoT) and non-IoT devices has imposed
new security challenges to network administrators. Accurate device identification in the …

Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising

S Aneja, N Aneja, PE Abas, AG Naim - arXiv preprint arXiv:2206.12685, 2022 - arxiv.org
Despite substantial advances in network architecture performance, the susceptibility of
adversarial attacks makes deep learning challenging to implement in safety-critical …

Packet-level and IEEE 802.11 MAC frame-level analysis for IoT device identification

RR Chowdhury, AC Idris… - Turkish Journal of …, 2022 - journals.tubitak.gov.tr
In cyberspace, a large number of Internet of Things (IoT) devices from different
manufacturers with hetero-geneous functionalities are connected together. It is challenging …

Mitigating iot privacy-revealing features by time series data transformation

F Wang, Y Tang, H Fang - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
As the Internet of Things (IoT) continues to expand, billions of IoT devices are now
connected to the internet, producing vast quantities of data. Collecting and sharing this data …