InvisibleSensing: Security Through Invisibility for Dynamically Changing Wireless Sensor Networks Section II A 2 ARO, RESEARCH AREA 5: COMPUTING SCIENCE, 5.3 Information and Software Assurance.

Abstract

The researchers aim to explore a new information sensing and analysis scheme that will be built upon fundamental mathematics modeling that incorporates adversarial aspects in combination with dynamic deployment and scheduling. The goal is to create an attack resilient sensing network that can survive potential compromises and attacks. The research tasks will analyze the behavior of wireless networks in contested environments, and incorporate the learnt network behavior to design an adaptable secure sensing system, suitable for deployment in dynamically changing environments. There are four tasks in the projects: 1) To formally define invisibility as a new security concept and to evaluate metrics to quantitatively measure the strength of invisibility. 2) To explore packet level obfuscation by embedding sensitive messages into plain text cover packets (or whatever is deemed normal and unsuspicious in the environment) to discourage attacks. 3) To explore signal obfuscation by emulating the details ofunsuspicious signals (e.g., those for civil uses), namely, modulation, waveform and timing pattern, such that the adversary is unaware of the presence of the real signal. 4) To build an unified framework to perform verification, and with testbed implementation and experiments.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 12, 2017
Source ID
W911NF1510651

Entities

People

  • Jinyuan Sun

Organizations

  • Army Contracting Command
  • United States Army
  • University of Tennessee

Tags

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Distributed Systems and Data Platform Development
  • Radio communications and signal processing.