Systematic literature review on energy efficient routing schemes in WSN–a survey

M Shafiq, H Ashraf, A Ullah, S Tahira - Mobile Networks and Applications, 2020 - Springer
In wireless sensor networks (WSN), routing is quite challenging area of research where
packets are forwarded through multiple nodes to the base station. The packet being sent …

Sensors for context-aware smart healthcare: A security perspective

E Batista, MA Moncusi, P López-Aguilar… - Sensors, 2021 - mdpi.com
The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …

A survey on mobility in wireless sensor networks

N Temene, C Sergiou, C Georgiou, V Vassiliou - Ad Hoc Networks, 2022 - Elsevier
Abstract As Wireless Sensor Networks (WSNs) and Internet of Things (IoTs) applications
evolve, the need for robust protocols, capable to guarantee extended lifetime and high …

SLGBM: An intrusion detection mechanism for wireless sensor networks in smart environments

S Jiang, J Zhao, X Xu - IEEE Access, 2020 - ieeexplore.ieee.org
Wireless sensor network (WSN), which serves as one of the key components of the cyber
physical system, is a wireless network composed of many stationary or moving sensors in a …

A network intrusion detection method based on deep multi-scale convolutional neural network

X Wang, S Yin, H Li, J Wang, L Teng - International Journal of Wireless …, 2020 - Springer
Network intrusion detection (NID) is an important method for network system administrators
to detect various security holes. The performance of traditional NID methods can be affected …

Network attack classification in IoT using support vector machines

C Ioannou, V Vassiliou - Journal of sensor and actuator networks, 2021 - mdpi.com
Machine learning (ML) techniques learn a system by observing it. Events and occurrences in
the network define what is expected of the network's operation. It is for this reason that ML …

STLGBM-DDS: an efficient data balanced DoS detection system for wireless sensor networks on big data environment

M Dener, S Al, A Orman - IEEE Access, 2022 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) are vulnerable to a variety of unique security risks and
threats in their data collection and transmission processes. One of the most common attacks …

Performance evaluation of machine learning techniques for DOS detection in wireless sensor network

L Alsulaiman, S Al-Ahmadi - arXiv preprint arXiv:2104.01963, 2021 - arxiv.org
The nature of Wireless Sensor Networks (WSN) and the widespread of using WSN introduce
many security threats and attacks. An effective Intrusion Detection System (IDS) should be …

Neuro-fuzzy based intrusion detection system for wireless sensor network

S Sinha, A Paul - Wireless personal communications, 2020 - Springer
Malicious attacks like denial-of-service massively affect the network activities of wireless
sensor network. These attacks exploit network layer vulnerabilities and affect all the layers of …

A comparative study of ai-based intrusion detection techniques in critical infrastructures

S Otoum, B Kantarci, H Mouftah - ACM Transactions on Internet …, 2021 - dl.acm.org
Volunteer computing uses Internet-connected devices (laptops, PCs, smart devices, etc.), in
which their owners volunteer them as storage and computing power resources, has become …