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G
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Gabriel
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GAO
Garbage Collect
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Gas
Gaseous
Gate
Gateway
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GCOS
GECOS
Gedanken
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Geek Code
Geek Out
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Gender Mender
General Public Virus
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GLBA (Gramm-Leach-Bliley Act)
GNU
GNU Style'*
GPL
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Gramm-Leach-Bliley Act (GLBA)
Granularity of access
Great Renaming
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Great Worm, The
Great-Wall
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Green's Theorem
Grep
Grey hat hackers
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Grind Crank
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Gritch
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Gronk
Gronk Out
Gronked
Grounding
Group ID (GID)
Group Identification
Group policy object (GPO)
Group Userid
Grovel
Grunge
GSA
GTS
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Guest
Guidance For Applying The DoD TCSEC In Specific Environments
Guidance For Conducting Matching Programs
Guide To Writing The Security Features Users Guide For Trusted Systems
Guidelines
Guidelines For Formal Verification Systems
Guidelines For Trusted Facility Management
Guidelines For Writing Trusted Facility Manuals
Guiltware
Gumby
Gun
Gunch
Gurfle
Guru
Guru Meditation
Gweep
GWEN
Gypsy
Gypsy Verification Environment
Gedanken
Ungrounded; impractical; not well-thought-out; untried; untested. `Gedanken' is a German word for `thought'. A thought experiment is one you carry out in your head. In physics, the term `gedanken experiment' is used to refer to an experiment that is impractical to carry out, but useful to consider because it can be reasoned about theoretically. (A classic gedanken experiment of relativity theory involves thinking about a man in an elevator accelerating through space. ) Gedanken experiments are very useful in physics, but must be used with care. It's too easy to idealize away some important aspect of the real world in constructing the `apparatus'. Among hackers, accordingly, the word has a pejorative connotation. It is typically used of a project, especially one in artificial intelligence research, that is written up in grand detail (typically as a Ph. D. thesis) without ever being implemented to any great extent. Such a project is usually perpetrated by people who aren't very good hackers or find programming distasteful or are just in a hurry. A `gedanken thesis' is usually marked by an obvious lack of intuition about what is programmable and what is not, and about what does and does not constitute a clear specification of an algorithm. See also AI-complete, DWIM.