Privacy-preserving planarity testing of distributed graphs

Guy Barshap, Tamir Tassa

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

We study the problem of privacy-preserving planarity testing of distributed graphs. The setting involves several parties that hold private graphs on the same set of vertices, and an external mediator that helps with performing the computations. Their goal is to test whether the union of their private graphs is planar, but in doing so each party wishes to deny from his peers any information on his own private edge set beyond what is implied by the final output of the computation. We present a privacy-preserving protocol for that purpose which is based on the Hanani-Tutte Theorem. That theorem enables translating the planarity question into the question of whether a specific system of linear equations over the field F2 is solvable. Our protocol uses a diverse cryptographic toolkit which includes techniques such as homomorphic encryption, oblivious Gaussian elimination, and private set intersection. This is the first time that a solution to this problem is presented.

שפה מקוריתאנגלית
כותר פרסום המארחData and Applications Security and Privacy XXXII - 32nd Annual IFIP WG 11.3 Conference, DBSec 2018, Proceedings
עורכיםStefano Paraboschi, Florian Kerschbaum
מוציא לאורSpringer Verlag
עמודים131-147
מספר עמודים17
מסת"ב (מודפס)9783319957289
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2018
אירוע32nd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2018 - Bergamo, איטליה
משך הזמן: 16 יולי 201818 יולי 2018

סדרות פרסומים

שםLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
כרך10980 LNCS
ISSN (מודפס)0302-9743
ISSN (אלקטרוני)1611-3349

כנס

כנס32nd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2018
מדינה/אזוראיטליה
עירBergamo
תקופה16/07/1818/07/18

הערה ביבליוגרפית

Publisher Copyright:
© IFIP International Federation for Information Processing 2018.

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