Infrastructure simulations of disaster scenarios

O'Reilly, Gerard P.; Houck, David J.; Kim, E.; Morawski, Thomas B.; Picklesimer, David D.; Uzunalioğlu, Hüseyin

doi:10.1109/netwks.2004.240927

Cited by 18 publications

(6 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This also implies that a sizable group of people will be unable to use alternative voice services by OTT. Hence, high demand causes congestion, which has degrading effects on telecommunication systems for emergency management and resilience logistics (O’Reilly et al, 2004).…”

Section: Independent System Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Congestion and observability across interdependent power and telecommunication networks under seismic hazard

Talebiyan

Leelardcharoen²,

Dueñas‐Osorio

et al. 2021

Earthquake Spectra

View full text Add to dashboard Cite

This article quantifies the seismic performance of interdependent electric power and telecommunication systems, while also identifying variables with the highest impact on design. We introduce interdependent power and telecommunication models, which probabilistically simulate the physical dependency of telecommunication systems on power via interdependent adjacency and coupling strength, while a topology observability analysis quantifies the cyber dependency of the power system on telecommunications. We also use new functionality-based performance measures, including data congestion in telecommunications and partial observability in power systems, given communication demands upsurging after earthquakes. As an application, our methodology assesses the performance of stylized power and telecommunication systems in Shelby County, TN. Results show that neglecting retrials, congestion, and power interdependency lead to significant overestimation of the performance of telecommunication systems, particularly at low-to-medium hazard levels. Sensitivity results also reveal that decreasing the strength of coupling across systems is one of the most effective ways to improve the seismic performance of evolving cyber-physical systems, particularly when increasing observability in the power system through telecommunication end offices with richer data flow pathways.

show abstract

Section: Independent System Modelsmentioning

confidence: 99%

“…Several studies (e.g. Jrad et al, 2006; O’Reilly et al, 2004), demonstrate the significant degradation of telecommunication systems due to high demand and associated congestion. Therefore, besides the direct physical damage from earthquakes, we quantify congestion in telecommunication systems.…”

Section: Introductionmentioning

confidence: 99%

Congestion and observability across interdependent power and telecommunication networks under seismic hazard

Talebiyan

Leelardcharoen²,

Dueñas‐Osorio

et al. 2021

Earthquake Spectra

View full text Add to dashboard Cite

show abstract

“…"Disasters fall into three broad categories: natural (floods, earthquakes, and fires), accidental (undetected software bugs), and sabotage (intentional disaster)" [3] emphasis added. Most of the work related to disaster scenarios has dealt with Network Disaster Recovery (NDR) techniques [4], [5]- [6], [7]- [8].…”

Section: Related Work and Motivationmentioning

confidence: 99%

Plugging the leaks without unplugging your network in the midst of Disaster

Goldman

Uluagac

Beyah

et al. 2012

37th Annual IEEE Conference on Local Computer Networks

View full text Add to dashboard Cite

Network Disaster Recovery research has examined behavior of networks after disasters with an aim to restoring normal conditions. In addition to probable loss of connectivity, a disaster scenario can also lead to security risks. However, network security has been examined extensively under normal conditions, and not under conditions that ensue after disasters. Therefore, security issues should be addressed during the period of chaos after a disaster, but before operating conditions return to normal. Furthermore, security should be assured, while still allowing access to the network to enable public communication in order to assist in disaster relief efforts. In general, the desire to help with public assistance requires opening up access to the network, while security concerns add pressure to close down or limit access to the network. In this study, we show that the objectives of availability and confidentiality, two objectives that have not previously been considered together in disaster scenarios, can be simultaneously achieved. For our study, we evaluated six wireless devices with various network configurations, including a laptop, a Kindle Fire e-reader, an Android tablet, a Google Nexus phone, an IP camera, and an Apple TV, to approximate behaviors of a communication network under a disaster scenario. Actual data leakage was tracked and observed for these devices. To the best of our knowledge this has not previously been examined in a systematic manner for post-disaster scenarios. After illustrating the data leakage of various devices, we analyze the risk associated with the various types of leakage. Moving private traffic to a VPN would free the physical network for use as a public resource.

show abstract

“…The study of inter-dependencies among critical national infrastructures has come to the forefront in recent years [2,4,8,10,13,15,22]. Our interest has been in the communications infrastructure, and our recent focus has been on next-generation networks (NGNs) which have designs that could prove more reliable or less reliable than the current embedded base.…”

Section: Introductionmentioning

confidence: 99%

Optimal deployment of power reserves across telecom critical infrastructures

O'Reilly¹,

Chu²

2008

Bell Labs Tech. J.

View full text Add to dashboard Cite

Two of the fundamental critical national infrastructures, upon which all others rely heavily, are power and telecom. Emergency services, banking and finance, water, agriculture and food, the chemical industry, defense industrial base, public health, and government cannot run effectively without them for any sustained period of time. As a key infrastructure, central to all others, understanding and modeling the risk due to communications disruption is a high priority in order to enhance public safety and infrastructure resiliency. This paper presents an optimization model for deploying backup generator power within next-generation networks, which are deployed in an increasingly mobile, multi-service, and multi-vendor environment. It also examines how power reserves might be optimally deployed in the mobile telecom infrastructure during power disruptions or blackouts, in order to minimize the cascading of disruptions in the power infrastructure into the wider communications infrastructure. We will describe an example development of these coupled infrastructure models and their application to the analysis of a power disruption or blackout across a metropolitan area.

show abstract

Infrastructure simulations of disaster scenarios

Cited by 18 publications

References 3 publications

Congestion and observability across interdependent power and telecommunication networks under seismic hazard

Congestion and observability across interdependent power and telecommunication networks under seismic hazard

Plugging the leaks without unplugging your network in the midst of Disaster

Optimal deployment of power reserves across telecom critical infrastructures

Contact Info

Product

Resources

About