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 …

Tensor based framework for Distributed Denial of Service attack detection

JPA Maranhão, JPCL da Costa, E Javidi… - Journal of Network and …, 2021 - Elsevier
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 …

A Tensor-Based Data-Driven Approach for Multidimensional Harmonic Retrieval and Its Application for MIMO Channel Sounding.

Y Zhang, W Xu, AL **, M Li, P Yuan… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In wireless channel sounding, accurately estimating multiple parameters within a multipath
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 …

A separation–aggregation network for image denoising

L Zhang, Y Li, P Wang, W Wei, S Xu, Y Zhang - Applied Soft Computing, 2019 - Elsevier
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 …

Industrial data denoising via low-rank and sparse representations and its application in tunnel boring machine

Y Wang, Y Pang, W Sun, X Song - Energies, 2022 - mdpi.com
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 …

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 …

Image denoising to enhance character recognition using deep learning

J Hussain, Vanlalruata - International Journal of Information Technology, 2022 - Springer
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 …

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 …

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 …