Multi-path Based Avoidance Routing in Wireless Networks

Kazuya Sakai, Min Te Sun, Wei Shinn Ku, Jie Wu, Ten H. Lai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

The speedy advancement in computer hardware has caused data encryption to no longer be a 100% safe solution for secure communications. To battle with adversaries, a countermeasure is to avoid message routing through certain insecure areas, e.g., Malicious countries and nodes. To this end, avoidance routing has been proposed over the past few years. However, the existing avoidance protocols are single-path-based, which means that there must be a safe path such that no adversary is in the proximity of the whole path. This condition is difficult to satisfy. As a result, routing opportunities based on the existing avoidance schemes are limited. To tackle this issue, we propose an avoidance routing framework, namely Multi-Path Avoidance Routing (MPAR). In our approach, a source node first encodes a message into k different pieces, and each piece is sent via k different paths. The destination can assemble the original message easily, while an adversary cannot recover the original message unless she obtains all the pieces. We prove that the coding scheme achieves perfect secrecy against eavesdropping under the condition that an adversary has incomplete information regarding the message. The simulation results validate that the proposed MPAR protocol achieves its design goals.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 35th International Conference on Distributed Computing Systems, ICDCS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages706-715
Number of pages10
ISBN (Electronic)9781467372145
DOIs
StatePublished - 22 Jul 2015
Event35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015 - Columbus, United States
Duration: 29 Jun 20152 Jul 2015

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2015-July

Conference

Conference35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015
Country/TerritoryUnited States
CityColumbus
Period29/06/152/07/15

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