Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Timed-Release of Self-Emerging Data Using Distributed Hash Tables

Li, C and Palanisamy, B (2017) Timed-Release of Self-Emerging Data Using Distributed Hash Tables. In: UNSPECIFIED.

[img]
Preview
PDF
Available under License : See the attached license file.

Download (1MB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

© 2017 IEEE. Releasing private data to the future is a challenging problem. Making private data accessible at a future point in time requires mechanisms to keep data secure and undiscovered so that protected data is not available prior to the legitimate release time and the data appears automatically at the expected release time. In this paper, we develop new mechanisms to support self-emerging data storage that securely hide keys of encrypted data in a Distributed Hash Table (DHT) network that makes the encryption keys automatically appear at the predetermined release time so that the protected encrypted private data can be decrypted at the release time. We show that a straight-forward approach of privately storing keys in a DHT is prone to a number of attacks that could either make the hidden data appear before the prescribed release time (release-ahead attack) or destroy the hidden data altogether (drop attack). We develop a suite of self-emerging key routing mechanisms for securely storing and routing encryption keys in the DHT. We show that the proposed scheme is resilient to both release-ahead attack and drop attack as well as to attacks that arise due to traditional churn issues in DHT networks. Our experimental evaluation demonstrates the performance of the proposed schemes in terms of attack resilience and churn resilience.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Li, Cchl205@pitt.eduCHL205
Palanisamy, B
Date: 13 July 2017
Date Type: Publication
Journal or Publication Title: Proceedings - International Conference on Distributed Computing Systems
Page Range: 2344 - 2351
Event Type: Conference
DOI or Unique Handle: 10.1109/icdcs.2017.109
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781538617915
Date Deposited: 14 Jul 2017 16:30
Last Modified: 13 Oct 2017 21:58
URI: http://d-scholarship.pitt.edu/id/eprint/32726

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item