Trust-Based Service Composition and Binding for Tactical Networks with Multiple Objectives

Abstract

Tactical networks must select service providers to meet service requirements of an operation while facing resource constraints and high security vulnerability. In such an environment nodes provide services to support various operations and/ may request services to support the operations as well. We formulate the problem of service composition and service binding as a multi-objective optimization (MOO) problem, minimizing the service cost, while maximizing the quality of service (QoS) and quality of information (QoI). The MOO problem is essentially a node-to-service assignment problem such that by dynamically formulating service composition, and selecting the right nodes to provide requested services, the network can support concurrent operations while achieving multiple system objectives. We develop a trust-based service composition and binding protocol. We demonstrate that the trust-based scheme outperforms the counterpart non-trust based scheme. Furthermore, our trust-based scheme can effectively penalize malicious nodes performing self-promotion attacks, thus filtering out malicious nodes and can ultimately leadto high user satisfaction.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2013
Accession Number
AD1004680

Entities

People

  • Ananthram Swami
  • Ingray Chen
  • Jin-Hee Cho
  • Kevin Chan
  • Yating Wang

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Computer Programming
  • Computer Science
  • Computers
  • Department Of Defense
  • Integer Programming
  • Intrusion Detection
  • Military Communications
  • Military Research
  • Optimization
  • Signal Processing
  • Standards
  • Tactical Networks
  • Target Classification
  • Target Tracking
  • Web Service

Fields of Study

  • Computer science

Readers

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