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SDNTruth: innovative DDoS detection scheme for software-defined networks (SDN)
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 …
by splitting control and data planes and using a central controller. An SDN controller …
HPRA: Hyperedge prediction using resource allocation
Many real-world systems involve higher-order interactions and thus demand complex
models such as hypergraphs. For instance, a research article could have multiple …
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
Human mobility trajectories are increasingly collected by ISPs to assist academic research
and commercial applications. Meanwhile, there is a growing concern that individual …
and commercial applications. Meanwhile, there is a growing concern that individual …
A Bayesian mixture modelling approach for spatial proteomics
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 …
understand context specific protein function. Some proteins can be found with a single …
Reducing overconfidence predictions in autonomous driving perception
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 …
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
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 …
and social networking sites that can understand the favorite categories of a user and also …
Finding and analysing good neighbourhoods to improve collaborative filtering
The research community has historically addressed the collaborative filtering task in several
fashions. Although model-based approaches such as matrix factorisation attract substantial …
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 …
probability that it reflects an incident laser beam. These algorithms typically determine the …