Symmetric Link Key Management for Secure Neighbor Discovery in a Decentralized Wireless Sensor Network

Abstract

Wireless sensor networks provide a low-signature communications system that can be used for a wide variety of military applications. These networks are vulnerable to intrusion, however, and must balance security with performance and longevity. The neighbor discovery process is vital for nodes to maintain network connectivity but introduces security vulnerabilities; therefore, a lightweight security protocol is necessary to prevent unauthorized nodes from accessing network data and resources. In this thesis, we focus on the management of encryption keys in a resource-limited, peer-to-peer, decentralized network. Existing protocols for securing the neighbor discovery process use public key encryption, which is too computationally expensive for low-powered, resource-constrained IEEE 802.15.4-enabled devices. We therefore develop a key management scheme that modifies the Neighbor Discovery Protocol (NDP) and Secure Neighbor Discovery (SEND) protocol and implements the Diffie-Hellman key exchange algorithm for symmetric key management. We simulate our scheme in MATLAB to demonstrate its effectiveness insecuring the neighbor discovery protocol while providing energy efficiency, key security, and error resistance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2017
Accession Number
AD1046814

Entities

People

  • Kelvin T. Chew

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Asymetric Encryption
  • Command And Control
  • Computer Communications
  • Computer Networks
  • Cryptography
  • Data Links
  • Data Transmission
  • Detectors
  • Energy Consumption
  • Energy Efficiency
  • Information Processing
  • Mobile Phones
  • Network Protocols
  • Security Protocols
  • Sensor Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Cybersecurity.
  • Distributed Systems and Data Platform Development