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AnonPubSub: Anonymous Publish-Subscribe Overlays

Daubert, Jörg ; Fischer, Mathias ; Grube, Tim ; Schiffner, Stefan ; Kikiras, Panayotis ; Mühlhäuser, Max (2016)
AnonPubSub: Anonymous Publish-Subscribe Overlays.
In: Computer Communications, 76
doi: 10.1016/j.comcom.2015.11.004
Article, Bibliographie

Abstract

Publish-subscribe is an increasingly popular messaging pattern for distributed systems, supporting scalable and extensible programming, and optimal spatial, temporal, and control-flow decoupling of distributed components. Publish-subscribe middleware and methods were extended towards supporting security, in particular confidentiality, and increased availability, yet a few prior works addressed anonymity of participants. Anonymity of senders and receivers may however be crucial, e.g., for supporting freedom of expression in regimes where political repression and censorship prevail. In this article, we review basic security and privacy requirements and introduce a new attacker model based on statistical disclosure, used to challenge anonymity. We elaborate on design options for privacy-preserving publish-subscribe systems and present a novel system that leverages peer-to-peer networking concepts; this novel approach protects subscriber anonymity by means of Probabilistic Forwarding (PF) and through a novel so-called Shell Game (SG) algorithm. We verify our solution against the requirements and provide a simulation-based analysis of the effectiveness of our approaches in light of our attacker model. The results show that the SG algorithm efficiently protects subscriber anonymity, and that anonymity sets can be adjusted via PF.

Item Type: Article
Erschienen: 2016
Creators: Daubert, Jörg ; Fischer, Mathias ; Grube, Tim ; Schiffner, Stefan ; Kikiras, Panayotis ; Mühlhäuser, Max
Type of entry: Bibliographie
Title: AnonPubSub: Anonymous Publish-Subscribe Overlays
Language: English
Date: 15 February 2016
Publisher: Elsevier
Journal or Publication Title: Computer Communications
Volume of the journal: 76
Book Title: Elsevier Computer Communications {ComCom}}
DOI: 10.1016/j.comcom.2015.11.004
Abstract:

Publish-subscribe is an increasingly popular messaging pattern for distributed systems, supporting scalable and extensible programming, and optimal spatial, temporal, and control-flow decoupling of distributed components. Publish-subscribe middleware and methods were extended towards supporting security, in particular confidentiality, and increased availability, yet a few prior works addressed anonymity of participants. Anonymity of senders and receivers may however be crucial, e.g., for supporting freedom of expression in regimes where political repression and censorship prevail. In this article, we review basic security and privacy requirements and introduce a new attacker model based on statistical disclosure, used to challenge anonymity. We elaborate on design options for privacy-preserving publish-subscribe systems and present a novel system that leverages peer-to-peer networking concepts; this novel approach protects subscriber anonymity by means of Probabilistic Forwarding (PF) and through a novel so-called Shell Game (SG) algorithm. We verify our solution against the requirements and provide a simulation-based analysis of the effectiveness of our approaches in light of our attacker model. The results show that the SG algorithm efficiently protects subscriber anonymity, and that anonymity sets can be adjusted via PF.

Uncontrolled Keywords: - SSI - Area Secure Smart Infrastructures; Solutions; S1;SPIN: Smart Protection in Infrastructures and Networks;Anonymity, Overlay networks, Publish-subscribe
Identification Number: TUD-CS-2015-0093
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1119: CROSSING – Cryptography-Based Security Solutions: Enabling Trust in New and Next Generation Computing Environments
Date Deposited: 31 Dec 2016 12:59
Last Modified: 19 Aug 2021 10:50
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