Generalized approach to modeling user activity graphs for network security and public safety monitoring

Authors:
N. E. Sergeev;A. A. Tselykh;A. N. Tselykh
Affiliations:
Southern Federal University, Taganrog, Russia;Southern Federal University, Taganrog, Russia;Southern Federal University, Taganrog, Russia
Venue:
Proceedings of the 6th International Conference on Security of Information and Networks
Year:
2013

Citing 5
Cited 0

On the orientation of graphs and hypergraphs

Discrete Applied Mathematics - Submodularity
Introduction to Algorithms, Third Edition

Introduction to Algorithms, Third Edition
Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference

Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference
Hypergraph learning with hyperedge expansion

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Fraud Detection: Methods of Analysis for Hypergraph Data

ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a new graph-theoretic approach to modeling user activity in a wide range of information security monitoring tasks. We introduce a notion of a generalized hypergraph that allows direct and holistic representation of complex relationships and context-dependent communications between actors and groups of actors in a network.