Multi-modal noise-robust DDoS attack detection architecture in large-scale networks based on tensor SVD
J Xu, X Li, P Wang, X **, S Yao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks consumes the resources of traditional or cloud
computing networks, resulting in the network unable to provide normal services. Therefore …
computing networks, resulting in the network unable to provide normal services. Therefore …
Tensor based framework for Distributed Denial of Service attack detection
Abstract Distributed Denial of Service (DDoS) attacks are one of the most important security
threats, since multiple compromised systems perform massive attacks over a victim …
threats, since multiple compromised systems perform massive attacks over a victim …
A Tensor-Based Data-Driven Approach for Multidimensional Harmonic Retrieval and Its Application for MIMO Channel Sounding.
In wireless channel sounding, accurately estimating multiple parameters within a multipath
signal, such as azimuth, elevation, Doppler shift, and delay, necessitates addressing the …
signal, such as azimuth, elevation, Doppler shift, and delay, necessitates addressing the …
The tensor multi-linear channel and its Shannon capacity
D Pandey, H Leib - IEEE Access, 2022 - ieeexplore.ieee.org
Tensors are multi-way arrays which can be used to model systems spanning many domains.
This work proposes to use tensors for characterizing, analyzing, and designing multi-domain …
This work proposes to use tensors for characterizing, analyzing, and designing multi-domain …
A separation–aggregation network for image denoising
Image denoising is the problem that aims at recovering a clean image from a noisy
counterpart. A promising solution for image denoising is to employ an appropriate deep …
counterpart. A promising solution for image denoising is to employ an appropriate deep …
Industrial data denoising via low-rank and sparse representations and its application in tunnel boring machine
The operation data of a tunnel boring machine (TBM) reflects its geological conditions and
working status, which can provide critical references and essential information for TBM …
working status, which can provide critical references and essential information for TBM …
Tensor-based subspace tracking for time-delay estimation in GNSS multi-antenna receivers
CCR Garcez, DV de Lima, RK Miranda, F Mendonça… - Sensors, 2019 - mdpi.com
Although Global Navigation Satellite Systems (GNSS) receivers currently achieve high
accuracy when processing their geographic location under line of sight (LOS), multipath …
accuracy when processing their geographic location under line of sight (LOS), multipath …
Image denoising to enhance character recognition using deep learning
Image denoising is an important decisive preliminary stage in character recognition. A
character image properties are enhanced to make it easier to recognize. In particular, to …
character image properties are enhanced to make it easier to recognize. In particular, to …
Spatiotemporal denoising for structural dynamic response monitoring data
J Ma, D Zheng - Engineering Structures, 2024 - Elsevier
Engineering typically deploys multi-points to capture structural dynamic response signals
which are vulnerable to noise interference. Non-stationary random vibration makes most …
which are vulnerable to noise interference. Non-stationary random vibration makes most …
A new nonconvex relaxation approach for low tubal rank tensor recovery
B Jiang, Y Liu, X Zeng, W Wang - Digital Signal Processing, 2022 - Elsevier
In this paper, we consider the tensor recovery problem within the low tubal rank framework.
A new nonconvex surrogate is proposed to approximate the tensor tubal rank. The main …
A new nonconvex surrogate is proposed to approximate the tensor tubal rank. The main …