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Cover Traffic: A Trade of Anonymity and Efficiency

Grube, Tim ; Thummerer, Markus ; Daubert, Jörg ; Mühlhäuser, Max (2017)
Cover Traffic: A Trade of Anonymity and Efficiency.
13th International Workshop on Security and Trust Management. Oslo, Norway
doi: 10.1007/978-3-319-68063-7_15
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Communication is ubiquitous in societies, more and more devices participate in communication processes, as in for example the Internet of Things.&nbsp;<br />Due to the proximity to their users and the omnipresence of the communication itself, communication is sensitive w.r.t. to anonymity as even the process of communication can disclose information about the content of a communication. Anonymity gains more and more importance in the development of communication services.&nbsp;<br />Thus, anonymity in communication systems is a desired property in many scenarios, allowing to communicate without someone having the ability to attribute the communication to its senders and recipients.&nbsp;<br />However, sender anonymity, i.e., communication without having an identifiable source of information, is a hard goal and the only viable option to achieve it is cover traffic. Cover traffic blends communication in random noise. However, the generation of this noise degrades the efficiency of the system, in a worst case producing two times the number of connections messages to send just a single message.&nbsp;<br />Cover traffic as a technique is hardly understood and analyzed. For that, we derived a model of cover traffic with four parameters to vary the generation of noise in location, spread and time to achieve a better understanding of cover traffic. We analyze the impact of varying parameters on anonymity by computing the remaining cover and on efficiency by computing the noise to content ratio. Our results indicate that cover traffic can be generated in a more efficient way while anonymity is preserved on a reasonable level, yet, the parametrization randomizes the participation allowing to diminish anonymity in the long run.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Grube, Tim ; Thummerer, Markus ; Daubert, Jörg ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: Cover Traffic: A Trade of Anonymity and Efficiency
Sprache: Deutsch
Publikationsjahr: September 2017
Ort: Oslo, Norway
Verlag: Springer
Buchtitel: Security and Trust Management. STM 2017.
Reihe: Lecture Notes in Computer Science
Band einer Reihe: 10547
Veranstaltungstitel: 13th International Workshop on Security and Trust Management
Veranstaltungsort: Oslo, Norway
DOI: 10.1007/978-3-319-68063-7_15
URL / URN: https://link.springer.com/chapter/10.1007/978-3-319-68063-7_...
Kurzbeschreibung (Abstract):

Communication is ubiquitous in societies, more and more devices participate in communication processes, as in for example the Internet of Things.&nbsp;<br />Due to the proximity to their users and the omnipresence of the communication itself, communication is sensitive w.r.t. to anonymity as even the process of communication can disclose information about the content of a communication. Anonymity gains more and more importance in the development of communication services.&nbsp;<br />Thus, anonymity in communication systems is a desired property in many scenarios, allowing to communicate without someone having the ability to attribute the communication to its senders and recipients.&nbsp;<br />However, sender anonymity, i.e., communication without having an identifiable source of information, is a hard goal and the only viable option to achieve it is cover traffic. Cover traffic blends communication in random noise. However, the generation of this noise degrades the efficiency of the system, in a worst case producing two times the number of connections messages to send just a single message.&nbsp;<br />Cover traffic as a technique is hardly understood and analyzed. For that, we derived a model of cover traffic with four parameters to vary the generation of noise in location, spread and time to achieve a better understanding of cover traffic. We analyze the impact of varying parameters on anonymity by computing the remaining cover and on efficiency by computing the noise to content ratio. Our results indicate that cover traffic can be generated in a more efficient way while anonymity is preserved on a reasonable level, yet, the parametrization randomizes the participation allowing to diminish anonymity in the long run.

Freie Schlagworte: SPIN: Smart Protection in Infrastructures and Networks;- SST - Area Smart Security and Trust;- SSI - Area Secure Smart Infrastructures
ID-Nummer: TUD-CS-2017-0205
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
Hinterlegungsdatum: 28 Jul 2017 13:57
Letzte Änderung: 14 Jun 2021 06:14
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