The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges
Security is one of the biggest challenges concerning networks and communications. The
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …
Bayesian-inference-based sliding window trust model against probabilistic SSDF attack in cognitive radio networks
Y Fu, Z He - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Collaborative spectrum sensing as a promising approach is widely investigated for
identifying available spectrum in cognitive radio networks. However, such cooperation is …
identifying available spectrum in cognitive radio networks. However, such cooperation is …
Cooperative fusion architecture-based distributed spectrum sensing under Rayleigh fading channel
Cognitive radio is one of the most promising technologies due to the spectrum scarcity,
especially in the microwave band. Spectrum sensing forms an essential functionality for CR …
especially in the microwave band. Spectrum sensing forms an essential functionality for CR …
Cluster mechanism for sensing data report using robust collaborative distributed spectrum sensing
In cooperative mobile communications, spectrum sensing performance may encounter
difficulties, which alert with many reporting errors, especially in dense network scenarios. In …
difficulties, which alert with many reporting errors, especially in dense network scenarios. In …
Measuring data similarity in population-based structural health monitoring using distance metrics
CT Wickramarachchi, E Maguire… - Structural Health …, 2023 - journals.sagepub.com
Population-based structural health monitoring (PBSHM) expands structural health
monitoring (SHM) from a single structure to a group of structures, allowing inferences to be …
monitoring (SHM) from a single structure to a group of structures, allowing inferences to be …
On MMD-based secure fusion strategy for robust cooperative spectrum sensing
Collaborative spectrum sensing (CSS) in cognitive radio-based networks (CRNs) is
vulnerable to spectrum sensing data falsification (SSDF) attack. Existing defense …
vulnerable to spectrum sensing data falsification (SSDF) attack. Existing defense …
On metrics assessing the information content of datasets for population-based structural health monitoring
CT Wickramarachchi, W Leahy, K Worden… - European Workshop on …, 2021 - Springer
Within databases designed for population-based structural health monitoring, diagnostic
information can be transferred between structures allowing inferences to be made across …
information can be transferred between structures allowing inferences to be made across …
Statistical alignment in transfer learning to address the repair problem: An experimental case study
CT Wickramarachchi - 2023 - repo.uni-hannover.de
Repair is a critical step in maintenance of civil structures to ensure safe operation. However,
repair can pose a problem for data-driven approaches of long-term structural health …
repair can pose a problem for data-driven approaches of long-term structural health …
Energy conserving relay assistance for reporting users in cognitive radio networks
MS Sumi, RS Ganesh - Sādhanā, 2021 - Springer
Abstract In Cognitive Radio (CR) networks, due to fading and shadowing the consistency of
single user sensing is deeply affected thereby degrading its detection performance …
single user sensing is deeply affected thereby degrading its detection performance …
Improved EGC method for increasing detection in cognitive radio networks
MS Sumi, RS Ganesh - Computer Communications, 2019 - Elsevier
The detrimental effects of shadowing and fading, affect the reliability of single user spectrum
sensing in Cognitive Radio Networks. Hence to overcome this issue, cooperative spectrum …
sensing in Cognitive Radio Networks. Hence to overcome this issue, cooperative spectrum …