Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Securing Emergency Communications for the Next-Generation Networks: Performance Analysis of Distributed Trust Computing for Future Emergency Communications

Published: 25 January 2019 Publication History

Abstract

Delay Tolerant Network (DTN) provides connectivity where there is uncertainty in end-to-end connectivity. In DTN, nodes exchange buffered messages upon an encounter. In disaster operations where the telecommunication and power infrastructures are completely broken down or destroyed, DTN can be used to support emergency communication till these infrastructures are restored. Security in DTN remains a major challenge because of its network characteristics such as frequent disruptions, dynamic topology, limited and constrained resources. One of the major threats in DTN is Denial of Service (DoS) attacks. This attack mainly comes from intermediary nodes that drop or flood packets in the network which often results in the degradation of the network performance. In this paper, we propose a collaborative content-aware trust forwarding for emergency communication networks. Extensive simulations and validations show that the proposed schemes outperform existing routing and trust management protocols in the presence of malicious nodes and are resilient to trust related attacks.

References

[1]
Martin-Campillo Abraham, Crowcroft J., . Yoneki E, and Martinez-Garcia Carlos. Marti R. 2010. Using haggle to create an electronic triage tag. In The second international workshop on mobile opportunistic networkingX:ACM/SIGMOBILE MobiOpp 2010, ACM Press; 2010. p. 167{170.
[2]
P. Apollonio, C. Caini, and V. Fiore. 2013. From the far side of the Moon: Delay/disruption-tolerant networking communications via lunar satellites. Communications, China 10, 10 (Oct. 2013), 12{25. Josang Audun and Ismail Roslan. 2002. The Beta Reputation System. 15th Bled Electronic Commerce Conference (2002).
[3]
J.A.F.F. Dias, J.J.P.C. Rodrigues, C. Mavromoustakis, and F. Xia. 2015. A Cooperative Watchdog System to Detect Misbehavior Nodes in Vehicular Delay-Tolerant Networks. IEEE Transactions on Industrial Electronics PP, 99 (2015), 1{1.
[4]
Ari Keranen, Jorg Ott, and Teemu Karkkainen. 2009. The ONE Simulator for DTN Protocol Evaluation. In SIMUTools '09: Proceedings of the 2nd International Conference on Simulation Tools and Techniques. ICST, New York, NY, USA.
[5]
Na Li and Sajal K. Das. 2013. A trust-based framework for data forwarding in opportunistic networks. Ad Hoc Networks 11, 4 (2013), 1497 { 1509. 1. System and Theoretical Issues in Designing and Implementing Scalable and Sustainable Wireless Sensor Networks 2. Wireless Communications and Networking in Challenged Environments.
[6]
Jaccard Paul. 1901. Etude comparative de la distribution orale dans une portion des Alpes et des Jura. Bulletin de la Soci et e Vaudoise des Sciences Naturelles, 37: 547{579 (1901).
[7]
Ram Ramanathan, Richard Hansen, Prithwish Basu, Regina Rosales-Hain, and Rajesh Krishnan. 2007. Prioritized Epidemic Routing for Opportunistic Networks. In Proceedings of the 1st International MobiSys Workshop on Mobile Opportunistic Networking (MobiOpp '07). ACM, New York, NY, USA, 62{66.
[8]
SatEC. 2015. New Speci cations on Scenarios for Emergency Communications in Disasters. Technical Speci cation ETSI TR 103 166. ETSI TS 103 260, F-06921 Sophia Antipolis Cedex - FRANCE. http://www.etsi.org/technologies-clusters/ technologies/emergency
[9]
SatEc. 2015. Satellite Earth Stations and Systems (SES); Reference scenario for the deployment of emergency communications; Part 1: Earthquake. (2015).
[10]
Mani B. Srivastava Saurabh Ganeriwal, Laura K. Balzano. 2005. Reputation-based Framework for High Integrity Sensor Networks. ACM Trans. Sen. Netw. (2005).
[11]
M.Y.S. Uddin, D.M. Nicol, T.F. Abdelzaher, and R.H. Kravets. 2009. A post-disaster mobility model for Delay Tolerant Networking. In Simulation Conference (WSC), Proceedings of the 2009 Winter. 2785{2796. Haojin Zhu, Suguo Du, Zhaoyu Gao, Mianxiong Dong, and Zhenfu Cao. 2014. A Probabilistic Misbehavior Detection Scheme toward Ecient Trust Establishment in Delay-Tolerant Networks. IEEE Transactions on Parallel and Distributed Systems 25, 1 (Jan. 2014), 22{32. http://dx.doi.org/10.1109/TPDS.2013.36.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 46, Issue 3
December 2018
174 pages
ISSN:0163-5999
DOI:10.1145/3308897
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 January 2019
Published in SIGMETRICS Volume 46, Issue 3

Check for updates

Author Tags

  1. delay tolerant network
  2. disaster response
  3. emergency communication
  4. trust management

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 82
    Total Downloads
  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)0
Reflects downloads up to 30 Aug 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media