Machine learning for advanced wireless sensor networks: A review

T Kim, LF Vecchietti, K Choi, S Lee… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …

[HTML][HTML] The digital harms of smart home devices: A systematic literature review

D Buil-Gil, S Kemp, S Kuenzel, L Coventry… - Computers in Human …, 2023 - Elsevier
The connection of home electronic devices to the internet allows remote control of physical
devices and involves the collection of large volumes of data. With the increase in the uptake …

[HTML][HTML] SDN-enabled hybrid DL-driven framework for the detection of emerging cyber threats in IoT

D Javeed, T Gao, MT Khan - Electronics, 2021 - mdpi.com
The Internet of Things (IoT) has proven to be a billion-dollar industry. Despite offering
numerous benefits, the prevalent nature of IoT makes it vulnerable and a possible target for …

SDN orchestration to combat evolving cyber threats in Internet of Medical Things (IoMT)

S Liaqat, A Akhunzada, FS Shaikh, A Giannetsos… - Computer …, 2020 - Elsevier
Abstract Internet of Medical Things (IoMT) is now worth a billion dollar market. While offering
enormous benefit, the prevalent and open environment of IoMT ecosystem can be a …

A hybrid DL-driven intelligent SDN-enabled malware detection framework for Internet of Medical Things (IoMT)

S Khan, A Akhunzada - Computer Communications, 2021 - Elsevier
The rise of Internet of Things (IoT) has envisioned smart connectivity of billions of varied
devices with high computational and processing capabilities resulting in the evolution of …

[HTML][HTML] An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment

SS Hammad, D Iskandaryan, S Trilles - Internet of Things, 2023 - Elsevier
Abstract Artificial Intelligence of Things (AIoT) is an emerging area of interest, and this can
be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) …

Anomaly-based intrusion detection approach for IoT networks using machine learning

P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …

[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 …

A systematic review on hybrid intrusion detection system

EM Maseno, Z Wang, H Xing - Security and Communication …, 2022 - Wiley Online Library
As computer networks keep growing at a high rate, achieving confidentiality, integrity, and
availability of the information system is essential. Intrusion detection systems (IDSs) have …

Sad-iot: Security analysis of ddos attacks in iot networks

P Kumar, H Bagga, BS Netam… - Wireless Personal …, 2022 - Springer
Internet of Things is one of the most versatile technologies in existence today. It has taken
over our day to day activities and thus has many applications that are designed to make life …