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Detecting a Crisis: Comparison of Self-Reported vs. Automated Internet Outage Measuring Methods

Orlov, Denis ; Möller, Simon ; Düfer, Sven ; Haesler, Steffen ; Reuter, Christian
eds.: Marky, Karola ; Grünefeld, Uwe ; Kosch, Thomas (2022)
Detecting a Crisis: Comparison of Self-Reported vs. Automated Internet Outage Measuring Methods.
Mensch und Computer 2022: Facing Realities. Darmstadt, Germany (04.-07.09.2022)
doi: 10.18420/muc2022-mci-ws10-321
Conference or Workshop Item, Bibliographie

Abstract

Every day, there are internet disruptions or outages around the world that affect our daily lives. In this paper, we analyzed these events in Germany in recent years and found out how they can be detected, and what impact they have on citizens, especially in crisis situations. For this purpose, we take a look at two different approaches to recording internet outages, namely the self-reporting of citizens and automatic reporting by algorithmic examination of the availability of IP networks. We evaluate the data of six major events with regard to their meaningfulness in quality and quantity. We found that due to the amount of data and the inherent imprecision of the methods used, it is difficult to detect outages through algorithmic examination. But once an event is publicly known by self-reporting, they have advantages to capture the temporal and spatial dimensions of the outage due to its nature of objective measurements. As a result, we propose that users’ crowdsourcing can enhance the detection of outages and should be seen as an important starting point to even begin an analysis with algorithm-based techniques, but it is to ISPs and regulatory authorities to support that.

Item Type: Conference or Workshop Item
Erschienen: 2022
Editors: Marky, Karola ; Grünefeld, Uwe ; Kosch, Thomas
Creators: Orlov, Denis ; Möller, Simon ; Düfer, Sven ; Haesler, Steffen ; Reuter, Christian
Type of entry: Bibliographie
Title: Detecting a Crisis: Comparison of Self-Reported vs. Automated Internet Outage Measuring Methods
Language: English
Date: 2022
Publisher: Gesellschaft für Informatik e.V.
Book Title: Mensch und Computer 2022 - Workshopband
Event Title: Mensch und Computer 2022: Facing Realities
Event Location: Darmstadt, Germany
Event Dates: 04.-07.09.2022
DOI: 10.18420/muc2022-mci-ws10-321
URL / URN: https://dl.gi.de/handle/20.500.12116/39089
Abstract:

Every day, there are internet disruptions or outages around the world that affect our daily lives. In this paper, we analyzed these events in Germany in recent years and found out how they can be detected, and what impact they have on citizens, especially in crisis situations. For this purpose, we take a look at two different approaches to recording internet outages, namely the self-reporting of citizens and automatic reporting by algorithmic examination of the availability of IP networks. We evaluate the data of six major events with regard to their meaningfulness in quality and quantity. We found that due to the amount of data and the inherent imprecision of the methods used, it is difficult to detect outages through algorithmic examination. But once an event is publicly known by self-reporting, they have advantages to capture the temporal and spatial dimensions of the outage due to its nature of objective measurements. As a result, we propose that users’ crowdsourcing can enhance the detection of outages and should be seen as an important starting point to even begin an analysis with algorithm-based techniques, but it is to ISPs and regulatory authorities to support that.

Uncontrolled Keywords: emergenCITY_SG; emergenCITY_INF
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Science and Technology for Peace and Security (PEASEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Date Deposited: 26 Oct 2022 07:03
Last Modified: 28 Mar 2024 13:46
PPN: 506241971
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