Robust pca for anomaly detection in cyber networks

R Paffenroth, K Kay, L Servi - arXiv preprint arXiv:1801.01571, 2018 - arxiv.org
This paper uses network packet capture data to demonstrate how Robust Principal
Component Analysis (RPCA) can be used in a new way to detect anomalies which serve as …

Network topology mapping from partial virtual coordinates and graph geodesics

AP Jayasumana, R Paffenroth… - IEEE/ACM …, 2019 - ieeexplore.ieee.org
For many important network types, physical coordinate systems and physical distances are
either difficult to discern or inapplicable. Accordingly, coordinate systems and …

Topology maps and distance-free localization from partial virtual coordinates for IoT networks

AP Jayasumana, R Paffenroth… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
While physical coordinates are useful for IoT and sensor network operations, physical
localization is not a viable option for large-scale networks of simple devices in complex or …

Reducing Reporting Burden of Healthcare Data Using Robust Principal Component Analysis

L Servi, R Paffenroth, M Jutras… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The US government imposes reporting requirements on healthcare providers as health
metrics are important for assessing and improving the US healthcare system. However …

Efficient Representation, Measurement, and Recovery of Spatial and Social Networks

GS Mahindre - 2021 - search.proquest.com
Massive penetration of networks such as social and communication networks and the
growth of networked systems are leading to a colossal number of connections and data …

Capture and Reconstruction of the Topology of Undirected Graphs from Partial Coordinates: A Matrix Completion based Approach

S Ramasamy - 2017 - search.proquest.com
With the advancement in science and technology, new types of complex networks have
become common place across varied domains such as computer networks, Internet, bio …

[PDF][PDF] Large Scale Matrix Completion and Recommender Systems

LR Amadeo - 2015 - core.ac.uk
2 Background Theory 10 2.1 Low Rank Matrices............................... 10 2.2 Matrix
Completion............................... 11 2.2. 1 Rank Minimizing Matrix Completion and Nuclear …