Machine learning for wireless sensor networks security: An overview of challenges and issues
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 …
Internet of things (IoT) security dataset evolution: Challenges and future directions
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
Deep Reinforcement Learning for energy-aware task offloading in join SDN-Blockchain 5G massive IoT edge network
Abstract The Internet-of-Things (IoT) edge allows cloud computing services for topology and
location-sensitive distributed computing. As an immediate benefit, it improves network …
location-sensitive distributed computing. As an immediate benefit, it improves network …
A review of anomaly detection strategies to detect threats to cyber-physical systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …
components. CPS has experienced rapid growth over the past decade in fields as disparate …
Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …
from potential adversarial attacks. However, it is challenging to design a suitable security …
Explainable security in SDN-based IoT networks
AK Sarica, P Angin - Sensors, 2020 - mdpi.com
The significant advances in wireless networks in the past decade have made a variety of
Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily …
Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily …
Securing SDN-controlled IoT networks through edge blockchain
The Internet of Things (IoT) connected by software-defined networking (SDN) promises to
bring great benefits to cyber-physical systems. However, the increased attack surface …
bring great benefits to cyber-physical systems. However, the increased attack surface …
TD-RA policy-enforcement framework for an SDN-based IoT architecture
Abstract Internet of Things (IoT) has been suffering from increasing security threats since
many years which compromise the whole network security. Automating the management of …
many years which compromise the whole network security. Automating the management of …
A review of current machine learning approaches for anomaly detection in network traffic
WA Ali, KN Manasa, M Bendechache… - … and the Digital …, 2020 - search.informit.org
Due to the advance in network technologies, the number of network users is growing rapidly,
which leads to the generation of large network traffic data. This large network traffic data is …
which leads to the generation of large network traffic data. This large network traffic data is …
Efficient and intelligent attack detection in software defined IoT networks
With the increasing deployment of Internet of Things (IoT) in various domains (eg, smart
buildings and critical infrastructure protection), the limited capabilities on such devices …
buildings and critical infrastructure protection), the limited capabilities on such devices …