A Global Study of the Risk of Earthquakes to IXPs

In this paper, we study the risk of earthquakes to global Internet infrastructure, namely Internet eXchange Point (IXP) facilities. Leveraging the CAIDA IXPs dataset and publicly available earthquake models and hazard computation tools, we find that more than 50% of the facilities have at least a 2% probability of experiencing potentially...

Probabilistic Shared Risk Link Groups Modeling Correlated Resource Failures Caused by Disasters

To evaluate the expected availability of a backbone network service, the administrator should consider all possible failure scenarios under the specific service availability model stipulated in the corresponding service-level agreement. Given the increase in natural disasters and malicious attacks with geographically extensive impact,...

Going the Extra Mile with Disaster-Aware Network Augmentation

Network outages have significant economic and societal costs. While network operators have become adept at managing smaller failures, this is not the case for larger, regional failures such as natural disasters. Although it is not possible, and certainly not economic, to prevent all potential disaster damage and impact, we can reduce their...

How to Model and Enumerate Geographically Correlated Failure Events in Communication Networks

Several works shed light on the vulnerability of networks against regional failures, which are failures of multiple pieces of equipment in a geographical region as a result of a natural or human-made disaster. This chapter overviews how this in- formation can be added to existing network protocols through defining Shared Risk Link Groups (SRLGs)...

A Moment of Weakness: Protecting Against Targeted Attacks Following a Natural Disaster

By targeting communication and power networks, malicious actors can significantly disrupt our society. As networks are more vulnerable after a natural disaster, this moment of weakness may be exploited to disrupt the network even further. However, the potential impact and mitigation of such a follow-up attack has yet to be studied.<br/><br/>In...

Sequential Zeroing: Online Heavy-Hitter Detection on Programmable Hardware

F1ows that have exceeded a given percentage of the last sliding window of N packets, denoted as heavy-hitter flows, require special handling, since they may disrupt the service of other flows or may be indicative of malicious traffic. However, even when equipped with a programmable switch, it is unclear how to detect heavy hitters on a per...

Evaluating local disaster recovery strategies

It is of vital importance to maintain at least some network functionality after a disaster, for example by temporarily replacing damaged nodes by emergency nodes. We propose a framework to evaluate dierent node replacement strategies, based on a large set of representative disasters. We prove that computing the optimal choice of nodes to...

Network Resiliency Against Earthquakes

Guaranteeing a high availability of network services is a crucial part of network management. In this study, we show how to compute the availability of network services under earthquakes, by using empirical data. We take a multi-disciplinary approach and create an earthquake model based on seismological research and historical data. We then show...

The Risk of Successive Disasters: A Blow-by-Blow Network Vulnerability Analysis

It is often assumed that a network will not be struck by multiple disasters in a relatively short period of time; that is, a subsequent disaster will not strike within the recovery phase of a previous disaster. However, recent events have shown that combinations of disasters are not implausible. This realization calls for a new perspective on...

Computing the Impact of Disasters on Networks

In this paper, we consider the vulnerability of a network to disasters, in particular earthquakes, and we propose an efficient method to compute the distribution of a network performance measure, based on a finite set of disaster areas and occurrence probabilities. Our approach has been implemented as a tool to help visualize the vulnerability...