SDNTruth: innovative DDoS detection scheme for software-defined networks (SDN)

T Linhares, A Patel, AL Barros, M Fernandez - Journal of Network and …, 2023 - Springer
Abstract Software-Defined Networks (SDN) are a trending technology in the modern Internet
by splitting control and data planes and using a central controller. An SDN controller …

HPRA: Hyperedge prediction using resource allocation

T Kumar, K Darwin, S Parthasarathy… - Proceedings of the 12th …, 2020 - dl.acm.org
Many real-world systems involve higher-order interactions and thus demand complex
models such as hypergraphs. For instance, a research article could have multiple …

[PDF][PDF] De-anonymization of mobility trajectories: Dissecting the gaps between theory and practice

H Wang, C Gao, Y Li, G Wang, D **… - The 25th annual network & …, 2018 - par.nsf.gov
Human mobility trajectories are increasingly collected by ISPs to assist academic research
and commercial applications. Meanwhile, there is a growing concern that individual …

A Bayesian mixture modelling approach for spatial proteomics

OM Crook, CM Mulvey, PDW Kirk… - PLoS computational …, 2018 - journals.plos.org
Analysis of the spatial sub-cellular distribution of proteins is of vital importance to fully
understand context specific protein function. Some proteins can be found with a single …

Reducing overconfidence predictions in autonomous driving perception

G Melotti, C Premebida, JJ Bird, DR Faria… - IEEE …, 2022 - ieeexplore.ieee.org
In state-of-the-art deep learning for object recognition, Softmax and Sigmoid layers are most
commonly employed as the predictor outputs. Such layers often produce overconfidence …

Website classification using word based multiple n-gram models and random search oriented feature parameters

A Shawon, ST Zuhori, F Mahmud… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Website classification is a convenient starting point for building an intelligent web browser
and social networking sites that can understand the favorite categories of a user and also …

Finding and analysing good neighbourhoods to improve collaborative filtering

D Valcarce, J Parapar, Á Barreiro - Knowledge-Based Systems, 2018 - Elsevier
The research community has historically addressed the collaborative filtering task in several
fashions. Although model-based approaches such as matrix factorisation attract substantial …

Mixture of gaussian-distributed prototypes with generative modelling for interpretable and trustworthy image recognition

C Wang, Y Chen, F Liu, Y Liu, DJ McCarthy… - ar** algorithms computes for each map cell the
probability that it reflects an incident laser beam. These algorithms typically determine the …