Ensuring data storage security against frequency-based attacks in wireless networks

Hongbo Liu, Hui Wang, Yingying Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

As wireless networks become more pervasive, the amount of the wireless data is rapidly increasing. One of the biggest challenges is how to store these data. To address this challenge, distributed data storage in wireless networks has attracted much attention recently, as it has major advantages over centralized approaches. To support the widespread adoption of distributed data storage, secure data storage must be achieved. In this work, we study the frequency-based attack, a type of attack that is different from previously well-studied ones, that exploits additional adversary knowledge to crack the encrypted data. To cope with frequency-based attacks, the straightforward 1-to-1 substitution encryption functions are not sufficient. We propose a data encryption strategy based on 1-to-n substitution via dividing and emulating techniques such that an attacker cannot derive the mapping relationship between the encrypted data and the original data based on their knowledge of domain values and their occurrence frequency. Our simulation results show that our data encryption strategy can achieve high security guarantee with low overhead.

Original languageEnglish (US)
Title of host publicationDistributed Computing in Sensor Systems - 6th IEEE International Conference, DCOSS 2010, Proceedings
Pages201-215
Number of pages15
DOIs
StatePublished - 2010
Externally publishedYes
Event6th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2010 - Santa Barbara, CA, United States
Duration: Jun 21 2010Jun 23 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6131 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2010
Country/TerritoryUnited States
CitySanta Barbara, CA
Period6/21/106/23/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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