U.S. flag
      An official website of the United States government, Department of Justice.
        Here's how you know
      Here's how you know**Official websites use .gov**
            
            A **.gov** website belongs to an official government organization in the United States.
      **Secure .gov websites use HTTPS**
            
            A **lock** (
            A locked padlock
            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. Menu

      
        close

            
            
                                              About NIJ
        
                    
  
          About NIJ
      
    
          The NIJ Director
          How NIJ Is Organized
          Mission and Guiding Principles
          Research and Development Process
          Strategic Framework
          Assessments of NIJ
          Annual Reports & Reports to Congress
          Staff Directory
          Funding & Awards
        
                    
  
          Funding & Awards
      
    
          Current Funding
          Forthcoming Funding
          Expired Funding
          Awards: Listing of Funded Projects
          Guidance for Applicants and Awardees
          Fellowship & Student Programs
          Travel Scholarships
          NIJ Challenge Program
          Library & Multimedia
        
                    
  
          Library & Multimedia
      
    
          NIJ Journal
          Podcasts
          Publications Listing
          Multimedia Listing
          Rated Practices on CrimeSolutions
          Rated Programs on CrimeSolutions
          Software & Databases
          Datasets
          Patents
          Topics
        
                    
  
          Topics
      
    
          Article Listing
          Corrections
          Courts
          Crime Prevention
          Crimes
          Drugs and Crime
          Equipment and Technology
          Forensic Sciences
          Youth Justice
          Justice System Reform
          Law Enforcement
          Tribal Crime and Justice
          Victims of Crime
          Events
        
                    
  
          Events
      
    
          NIJ 2024 Research Conference
          Scheduled Events
          On-Demand Events
          Research Meetings & Workshops
          NIJ-Hosted Online Training

                            
                                About
          Contact Us
          Subscribe
          Topics A-Z
                  Share
FacebookXLinkedInRedditPinterestEmail Home
                            Funding & Awards
 RF Fingerprinting for Contraband Wireless Devices Identification, Detection and Tracking in Correctional Facilities.
Award Information
Awardee
              MISSISSIPPI STATE UNIVERSITY
Award #
              2018-75-CX-K002
Funding Category
              Competitive Discretionary
Location
                    MISSISSIPPI STATE, MS
Congressional District
              3
Status
              Closed
Funding First Awarded
              2018
Total funding (to date)
              $599,121
Original Solicitation
              NIJ FY18 Communications Technologies Research and Evaluation for Law Enforcement and Corrections Applications
Description of original award (Fiscal Year 2018, $599,121)
This application was submitted as a New Investigator/Early Career proposal. The goal of this project is to investigate a novel passive system with low-cost and high-efficacy, which is capable of identifying, localizing, and tracking contraband wireless devices as long as they transmit radio signals.
The study proposes to investigate advanced machine learning methods and mathematical models with computer simulations to exploit radio frequency (RF) signal characteristics that are unique to devices, called RF device fingerprints, and locations, called RF location fingerprints.
The proposal will develop RF device fingerprinting techniques; including radio signal preamble detection, multidimensional analysis, a deep complex-valued neural network, and zero-shot learning algorithms, for unauthorized device identification. To localize the device, we propose to develop RF location fingerprinting techniques via RF channel modeling, computer simulation, and learning.
The applicant proposes to design a robust multi-device tracking algorithm to associate identification and detection results in a probabilistic manner, and visualize the results in a user-friendly graphical user interface (GUI). This proposed project presents a feasible solution, including both hardware and software, to combat illegal wireless device use by inmates in prisons. The hardware is based on commercial software-defined-radio (SDR) technologies, so that it has a low cost and high reliability, and the software contains implementations of all methods, algorithms, and the GUI as described. Extensive experiments are proposed to be conducted in a laboratory environment to validate the effectiveness of the developed system.
"Note: This project contains a research and/or development component, as defined in applicable law," and complies with Part 200 Uniform Requirements - 2 CFR 200.210(a)(14).
ca/ncf



  
Grant-Funded Publications
        
                      Wifi fingerprinting based room level classification: combining short term fourier transform and imbalanced learning method
                  Singletons for simpletons revisiting windowed backoff with Chernoff bounds
                  Effect of the short time fourier transform on the classification of complex-valued mobile signals
                  Real-time location fingerprinting for mobile devices in an indoor prison setting
                  Adversarial indoor signal detection
                  CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers
                  CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers
                  Classifying WiFi "physical fingerprints" using complex deep learning
                  Identifying unlabeled WiFi devices with zero-shot learning
                  Towards simulating multipath interference at detectors: a tool for validating location fingerprinting methods
                  Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation




  
Grant-Funded Datasets
        
                      https://doi.org/10.3886/ICPSR38650.v1

  
Date Created: August 31, 2018
    
          Side navigation
  

        

  
  
              Current Funding
    
      
            
            
            
      Forthcoming Funding
    
      
            
            
            
      Expired Funding
    
      
            
            
            
      Awards: Listing of Funded Projects
    
      
            
            
            
      Guidance for Applicants and Awardees
    
      
            
            
            
      Fellowship & Student Programs
    
      
            
            
            
      Travel Scholarships
    
      
            
            
            
      NIJ Challenge ProgramSimilar Awards
        
                      Developing a Portable and Fast Opioid Assessment Tool for Improved Field Decision-Making
                  Rapid screening and identification of fentanyl in drug mixtures using surface enhanced Raman spectroscopy
                  Developmental Validation of a Novel Multi-analyte Recovery Method for Trace Biological Samples
 Top

      National Institute of Justice

        
        
                        About NIJ
                    About NIJ
      
    
                  How NIJ Is Organized
      
    
                  NIJ Director
      
    
                  Research Disclaimer
      
    
                  Funding & Awards
                    Funding & Awards Home
      
    
                  Awards Listing
      
    
                  Current Funding
      
    
                  Guidance for Applicants and Awardees
      
    
                  Resources
                    Events
      
    
                  Podcasts
      
    
                  Publications
      
    
                  Topics
      
    
                  Multimedia
      
    
                  Reuse Policy
      
    
                  Contacts
                    Contact NIJ
      
    
                  Staff Directory
      
    
                  Submit a FOIA Request
      
    
                  File a Civil Rights ComplaintFacebook
          
                      X
          
                      YouTube
  

      810 7th St. NW, Washington, D.C. 20531
      
              Secondary Footer link menu
            Accessibility
              Plain Language
              Privacy Policy
              Legal Policies and Disclaimer
              No FEAR Act
              Freedom of Information Act
              USA.gov
              Justice.gov