A rapid method for detecting geographically disconnected areas after disasters

Ling-Jyh Chen, Chia Wei Li, Yu Te Huang, Chi Sheng Shih

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we present a novel solution called Internet Footprint Investigation (IFI) for the rapid detection of network outages after a natural or man-made disaster. IFI is comprised of two components: 1) the Active Network Probing (ANP) module, which proactively probes the network infrastructure to detect geographic areas that may be disconnected; and 2) the Reactive Footprint Search (RFS) module, a reactive mechanism that improves the accuracy of the ANP results by incorporating the footprints of location-based social networks (LBSNs) established after a disaster occurs. Using Typhoon Morakot, which struck Taiwan in August 2009, as a case study, we implement the IFI system and evaluate its feasibility in a real-world scenario. We observe that the accuracy of existing IP geolocation services is unsatisfactory, and posit that localized IP geolocation services should be deployed and maintained all the times. Moreover, we demonstrate how existing LBSNs can be used to search for disaster victims in areas reported by ANP, and identify so-called "critical areas", which have no Internet activity, for priority inspection. The proposed IFI solution is simple and effective, and it can be deployed worldwide.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Technologies for Homeland Security, HST 2011
Pages501-506
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Event11th IEEE International Conference on Technologies for Homeland Security, HST 2011 - Waltham, MA, United States
Duration: 2011 Nov 152011 Nov 17

Publication series

Name2011 IEEE International Conference on Technologies for Homeland Security, HST 2011

Other

Other11th IEEE International Conference on Technologies for Homeland Security, HST 2011
CountryUnited States
CityWaltham, MA
Period11/11/1511/11/17

Fingerprint

Disasters
Active networks
Internet
Outages
Inspection

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

Cite this

Chen, L-J., Li, C. W., Huang, Y. T., & Shih, C. S. (2011). A rapid method for detecting geographically disconnected areas after disasters. In 2011 IEEE International Conference on Technologies for Homeland Security, HST 2011 (pp. 501-506). [6107919] (2011 IEEE International Conference on Technologies for Homeland Security, HST 2011). https://doi.org/10.1109/THS.2011.6107919

A rapid method for detecting geographically disconnected areas after disasters. / Chen, Ling-Jyh; Li, Chia Wei; Huang, Yu Te; Shih, Chi Sheng.

2011 IEEE International Conference on Technologies for Homeland Security, HST 2011. 2011. p. 501-506 6107919 (2011 IEEE International Conference on Technologies for Homeland Security, HST 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, L-J, Li, CW, Huang, YT & Shih, CS 2011, A rapid method for detecting geographically disconnected areas after disasters. in 2011 IEEE International Conference on Technologies for Homeland Security, HST 2011., 6107919, 2011 IEEE International Conference on Technologies for Homeland Security, HST 2011, pp. 501-506, 11th IEEE International Conference on Technologies for Homeland Security, HST 2011, Waltham, MA, United States, 11/11/15. https://doi.org/10.1109/THS.2011.6107919
Chen L-J, Li CW, Huang YT, Shih CS. A rapid method for detecting geographically disconnected areas after disasters. In 2011 IEEE International Conference on Technologies for Homeland Security, HST 2011. 2011. p. 501-506. 6107919. (2011 IEEE International Conference on Technologies for Homeland Security, HST 2011). https://doi.org/10.1109/THS.2011.6107919
Chen, Ling-Jyh ; Li, Chia Wei ; Huang, Yu Te ; Shih, Chi Sheng. / A rapid method for detecting geographically disconnected areas after disasters. 2011 IEEE International Conference on Technologies for Homeland Security, HST 2011. 2011. pp. 501-506 (2011 IEEE International Conference on Technologies for Homeland Security, HST 2011).
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