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Countering Persistent Artificial Intelligence Attacks, a Qualitative Study.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Countering Persistent Artificial Intelligence Attacks, a Qualitative Study./
Author:	Rivera, Elietzer.
Description:	1 online resource (116 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 82-09, Section: B.
Contained By:	Dissertations Abstracts International82-09B.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9798582516040

Countering Persistent Artificial Intelligence Attacks, a Qualitative Study.
Rivera, Elietzer.

Countering Persistent Artificial Intelligence Attacks, a Qualitative Study. - 1 online resource (116 pages)

Source: Dissertations Abstracts International, Volume: 82-09, Section: B.

Thesis (D.C.S.)--Colorado Technical University, 2021.

Includes bibliographical references

How do IT professionals with security experience describe protocols needed to prevent or reduce sustained artificial intelligence attacks on an organization's infrastructure? The purpose of this qualitative exploratory study was to explore how IT professionals with security experience describe protocols needed to prevent or reduce sustained artificial intelligence attacks on an organization's infrastructure.Six protocols and 3 main training suggestions were recommended in preventing or reducing sustained artificial intelligence attacks on an organization's infrastructure. The three training suggestions are user training for social media, user training for social engineering, and training for IT staff to understand what artificial intelligence is and basic capabilities as it relates to security. The 6 protocols recommended are adopting artificial intelligence for defense, annual review of effectiveness of controls, conducting log reviews, having backups and redundancy in infrastructure and internet connection, identity access management needs to be emphasized to reduce the scope of potential attacks and access to ports needs to be controlled.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798582516040Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Attack GraphsIndex Terms--Genre/Form:

554714
Electronic books.

Countering Persistent Artificial Intelligence Attacks, a Qualitative Study.
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504 $a Includes bibliographical references
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653 $a State Sponsored Attacks
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