Automated Fradulent Enlistment Detection System. A Study of the Fradulent Enlistment Problem

Abstract

In recent years, increases in military pay compensation and benefits have made the Armed Forces a lucrative job opportunity for individuals of enlistment age. Some individuals, who are found to be unfit for military service at one Armed Forces Examining and Entrance Station (AFEES), go to another AFEES and attempt to enlist in the Armed Forces by concealing the source of their previous disqualification; these individuals are referred to as fraudulent enlistees. This study proposes the development and implementation of an automated detection system, referred to as the Automated FED system, to resolve this problem. The Automated FED system consists of a centralized, tape- based computer system located at Hq USAREC which is linked to each AFEES by remote communication terminals. The system has been designed to incorporate the existing hardware and operational procedures of USAREC's AFEES Reporting System (ARS), and provides each AFEES with the capability to query a data base located at Hq USAREC so that fraudulent enlistees may be detected and their processing terminated. The data base consists of records for all applicants processed in the AFEES system within the previous year but not enlisted. The data records contain only that information required to sufficiently identify the fraudulent enlistee and disqualification reason(s).

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Document Details

Document Type
Technical Report
Publication Date
Oct 15, 1975
Accession Number
ADA016354

Entities

People

  • Charles J. Denny
  • Robert G. Bergdoll

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Active Duty
  • Air Force
  • Central Processing Units
  • Classification
  • Communication Terminals
  • Computer Programming
  • Computers
  • Data Processing Equipment
  • Data Transmission
  • Databases
  • Enlisted Personnel
  • Government Procurement
  • Governments
  • Information Systems
  • Personnel Management
  • Processing Equipment
  • Recruiting

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Government Contracting/Procurement.
  • Naval Personnel Management