Gaballah, Sarah Abdelwahab ; Abdullah, Lamya ; Tran, Minh Tung ; Zimmer, Ephraim ; Mühlhäuser, Max (2022)
On the Effectiveness of Intersection Attacks in Anonymous Microblogging.
27th Nordic Conference on Secure IT Systems (NordSec 2022). Reykjavic, Iceland (30.11.2022-02.12.2022)
doi: 10.1007/978-3-031-22295-5_1
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Intersection attacks, which are popular traffic analysis attacks, have been extensively studied in anonymous point-to-point communication scenarios. These attacks are also known to be challenging threats to anonymous group communication, e.g., microblogging. However, it remains unclear how powerful these attacks can be, especially when considering realistic user communication behavior. In this paper, we study the effectiveness of intersection attacks on anonymous microblogging systems utilizing Twitter and Reddit datasets. Our findings show that the attacks are effective regardless of whether users post their messages under pseudonyms or publish them to topics without attaching identifiers. Additionally, we observed that attacks are feasible under certain settings despite increasing userbase size, communication rounds' length, cover traffic, or traffic delays.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Gaballah, Sarah Abdelwahab ; Abdullah, Lamya ; Tran, Minh Tung ; Zimmer, Ephraim ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | On the Effectiveness of Intersection Attacks in Anonymous Microblogging |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Verlag: | Springer |
| Buchtitel: | Secure IT Systems |
| Reihe: | Lecture Notes in Computer Science |
| Band einer Reihe: | 13700 |
| Veranstaltungstitel: | 27th Nordic Conference on Secure IT Systems (NordSec 2022) |
| Veranstaltungsort: | Reykjavic, Iceland |
| Veranstaltungsdatum: | 30.11.2022-02.12.2022 |
| DOI: | 10.1007/978-3-031-22295-5_1 |
| Kurzbeschreibung (Abstract): | Intersection attacks, which are popular traffic analysis attacks, have been extensively studied in anonymous point-to-point communication scenarios. These attacks are also known to be challenging threats to anonymous group communication, e.g., microblogging. However, it remains unclear how powerful these attacks can be, especially when considering realistic user communication behavior. In this paper, we study the effectiveness of intersection attacks on anonymous microblogging systems utilizing Twitter and Reddit datasets. Our findings show that the attacks are effective regardless of whether users post their messages under pseudonyms or publish them to topics without attaching identifiers. Additionally, we observed that attacks are feasible under certain settings despite increasing userbase size, communication rounds' length, cover traffic, or traffic delays. |
| Zusätzliche Informationen: | ULB-Lizenzbestand |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation |
| Hinterlegungsdatum: | 16 Feb 2023 13:15 |
| Letzte Änderung: | 23 Jun 2023 08:40 |
| PPN: | 50902694X |
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| Suche nach Titel in: | TUfind oder in Google |
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