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Open AccessJournal ArticleDOI

Cascade-based attacks on complex networks.

Adilson E. Motter, +1 more
- 20 Dec 2002 - 
- Vol. 66, Iss: 6, pp 065102-065102
TLDR
It is demonstrated that the heterogeneity of these networks makes them particularly vulnerable to attacks in that a large-scale cascade may be triggered by disabling a single key node.
Abstract
We live in a modern world supported by large, complex networks. Examples range from financial markets to communication and transportation systems. In many realistic situations the flow of physical quantities in the network, as characterized by the loads on nodes, is important. We show that for such networks where loads can redistribute among the nodes, intentional attacks can lead to a cascade of overload failures, which can in turn cause the entire or a substantial part of the network to collapse. This is relevant for real-world networks that possess a highly heterogeneous distribution of loads, such as the Internet and power grids. We demonstrate that the heterogeneity of these networks makes them particularly vulnerable to attacks in that a large-scale cascade may be triggered by disabling a single key node. This brings obvious concerns on the security of such systems.

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Citations
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The Structure and Function of Complex Networks

Mark Newman
- 01 Jan 2003 - 
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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Catastrophic cascade of failures in interdependent networks

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Epidemic processes in complex networks

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Error and attack tolerance of complex networks

TL;DR: This work represents communication/transportation systems as networks and studies their ability to resist failures simulated as the breakdown of a group of nodes of the network chosen at random (chosen accordingly to degree or load).
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Critical phenomena in complex networks

TL;DR: A wide range of critical phenomena in equilibrium and growing networks including the birth of the giant connected component, percolation, $k$-core percolations, phenomena near epidemic thresholds, condensation transitions,critical phenomena in spin models placed on networks, synchronization, and self-organized criticality effects in interacting systems on networks are mentioned.
References
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Book

Small Worlds: The Dynamics of Networks between Order and Randomness

TL;DR: Duncan Watts uses the small-world phenomenon--colloquially called "six degrees of separation"--as a prelude to a more general exploration: under what conditions can a small world arise in any kind of network?
Journal ArticleDOI

Small Worlds: The Dynamics of Networks between Order and Randomness

TL;DR: The dynamics of networks between order and randomness, characteristics of small world networks, and the structure and dynamic of networks mark newman.
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