Machine learning for wireless sensor networks security: An overview of challenges and issues

R Ahmad, R Wazirali, T Abu-Ain - Sensors, 2022 - mdpi.com
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …

Deep learning approaches for detecting DDoS attacks: A systematic review

M Mittal, K Kumar, S Behal - Soft computing, 2023 - Springer
In today's world, technology has become an inevitable part of human life. In fact, during the
Covid-19 pandemic, everything from the corporate world to educational institutes has shifted …

Machine learning techniques to detect a DDoS attack in SDN: A systematic review

TE Ali, YW Chong, S Manickam - Applied Sciences, 2023 - mdpi.com
The recent advancements in security approaches have significantly increased the ability to
identify and mitigate any type of threat or attack in any network infrastructure, such as a …

Deep learning-based intrusion detection systems: a systematic review

J Lansky, S Ali, M Mohammadi, MK Majeed… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …

J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …

A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision

M Pundir, JK Sandhu - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …

Performance evaluation of deep learning techniques for DoS attacks detection in wireless sensor network

S Salmi, L Oughdir - Journal of Big Data, 2023 - Springer
Wireless sensor networks (WSNs) are increasingly being used for data monitoring and
collection purposes. Typically, they consist of a large number of sensor nodes that are used …

Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks

P Ajay, B Nagaraj, R Huang - Journal of Control Science and …, 2022 - search.proquest.com
Existing communication networks have inherent limitations in translation theory and adapt to
address the complexity of repairing new remote applications at the highest possible level …

Wireless sensor network security: A recent review based on state-of-the-art works

M Faris, MN Mahmud, MFM Salleh… - International Journal of …, 2023 - journals.sagepub.com
Wireless sensor networks (WSNs) are a major part of the telecommunications sector. WSN is
applied in many aspects, including surveillance battlefields, patient medical monitoring …

AI-based wormhole attack detection techniques in wireless sensor networks

M Hanif, H Ashraf, Z Jalil, NZ Jhanjhi, M Humayun… - Electronics, 2022 - mdpi.com
The popularity of wireless sensor networks for establishing different communication systems
is increasing daily. A wireless network consists of sensors prone to various security threats …