Glossary of Terms

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F

Facilities Planning

Facility Management

Facsimile Converter

Facsimile Recorder

Facsimile Transmission

Factor

Fail

Fail-Safe Operation

Failure

Failure Control

Fair Credit Billing Act of 1974 (amended 1986)

False acceptance rate (FAR)

False rejection rate (FRR[AuQ2][AuQ2])

Fan

Fandango On Core

FAQ

FAQL

FAR (false acceptance rate)

Farkled

Farming

Fault

Fault Tolerance

Faulty

FAX

FCA

Fd Leak

FDDI

FDDI-2

FDIU

FDM

Fear And Loathing

Feature

Feature Creature

FEC

Federal

Federal Computer Criminals

Federal Computer System

Federal Data Processing Centers

Federal Information Processing Standards

Federal Managers Financial Integrity Act

Federal Property And Administrative Service Act

Federal Property And Administrative Services Act Of 1949

Federal Records Act

Federal Register

Federal Telecommunications Fund

Federal Trade Commission (FTC)

Federal Wiretap Act

Feep

Feeper

Feeping Creature

Feeping Creaturism

Fence

Fencepost Error

FER

Fetch Protection

Fiber Distributed Data Interface

FidoNet

Field

Fielded Equipment

FIFO

File

File Authentication Code

File integrity checkers

File Management System

File Protection

File Transfer Protocol

File Transfer, Access, And Management

File-infector viruses

Fill

Filter

FIN

Final Evaluation Report

Financial Management Information

Financial Management System

Fine

Finger

Finger-Pointing Syndrome

Fingerprint recognition

Fingerprint Signal

Finn

FIPS

Fire Prevention And Protection

FIREFLY

Firehose Syndrome

Firewall appliances

Firewall architecture

Firewall Machine

Firmware Security

Firmy

First-In First-Out

FISA (Foreign Intelligence Surveillance Act)

FISINT

FITNR

Fix

Fixed COMSEC Facility

FIXME

Flag

Flaky

Flame

Flamer

Flap

Flat

Flatten

Flavor

Flaw

Flaw Hypothesis

Flaw Hypothesis Methodology

Flippy

Flood

Flooding DoS attacks

Flow Control Procedure

Flush

Flux

Flypage

Flytrap

FOAF

FOCI

FOI

FOIA

Follow-up report

Foonly

For Official Use Only (FOUO) Data

For The Rest Of Us

Fora

Foreign Government Information

Foreign Intelligence Service

Foreign Intelligence Surveillance Act (FISA)

Forked

Formal Access Approval

Formal Cryptographic Access (FCA)

Formal Development Methodology (FDM)

Formal Methods For Security Design

Formal Security Policy

Formal Security Policy Model

Formal Top-Level

Formal Top-Level Specification

Formal Verification

Format

Formerly Restricted Data

Fortuitous Conduction

Fortuitous Conductor

Forum

Forward Error Correction

Fossil

FOT&E

FOUO

Four-Color Glossies

Fourth Amendment

FQR

FQT

Fragile

Fragment offset

Frame

Fraud

Fraud, Waste And Abuse

FRD

Frednet

FreeBSD

Freedom Of Information Act

Freeze

Frequency Hopping

Frequency Of Major Failure

Fried

Frink

Friode

Frob

Front-End Processing

Front-End Processor

Front-End Security

Front-End Security Filter

Frotz

Frotzed

Frowney

FRR (false rejection rate)

Fry

FSD

FSRS

FSTS

FTAM

FTC (Federal Trade Commission)

FTLS

F-T-P

FTS

FUBAR

Fuel Up

Full Bit Emanation

Full Financial Disclosure

Full Maintenance

Full Monty, The

Full protocol decoding

Functional Testing

Funds

Funky

Fuzz

Fencepost Error

n. A problem with the discrete equivalent of a boundary condition, often exhibited in programs by iterative loops. From the following problem "If you build a fence 100 feet long with posts 10 feet apart, how many posts do you need?" (Either 9 or 11 is a better answer than the obvious 10. ) For example, suppose you have a long list or array of items, and want to process items m through n; how many items are there? The obvious answer is n - m, but that is off by one; the right answer is n - m + A program that used the `obvious' formula would have a fencepost error in it. See also zeroth and off-by-one error, and note that not all off-by-one errors are fencepost errors. The game of Musical Chairs involves a catastrophic off-by-one error where N people try to sit in N - 1 chairs, but it's not a fencepost error. Fencepost errors come from counting things rather than the spaces between them, or vice versa, or by neglecting to consider whether one should count one or both ends of a row.
[rare] An error induced by unexpected regularities in input values, which can (for instance) completely thwart a theoretically efficient binary tree or hash table implementation. (The error here involves the difference between expected and worst case behaviors of an algorithm. )