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 …
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
Deep learning approaches for detecting DDoS attacks: A systematic review
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 …
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 …
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
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …
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 …
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
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 …
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
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 …
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 …
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 …
applied in many aspects, including surveillance battlefields, patient medical monitoring …
AI-based wormhole attack detection techniques in wireless sensor networks
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 …
is increasing daily. A wireless network consists of sensors prone to various security threats …