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003 OCoLC;

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006 m o d ;

007 cr unu||||||||;

008 230609s2023 ncu obm 000 0 eng d;

035 a| (Sirsi) o1381680535;

035 a| (OCoLC)1381680535;

049 a| EREE;

090 a| QA76.9.A25;

100 1 a| Adenola, Victoria,e| author.?| UNAUTHORIZED;

245 10 a| Artificial intelligence-based access management system /c| by Victoria Adenola.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2023.;

300 a| 1 online resource (79 pages);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 481.3 KB2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2023.;

500 a| Presented to the Faculty of the Department of Technology Systems;

500 a| Advisor: John Pickard;

500 a| Title from PDF t.p. (viewed May 29, 2024).;

520 3 a| The foundation of cybersecurity is identity and access management (IAM). Its methods, procedures, and guidelines control identity access to digital resources and define the scope of identity permission over the resources. Every week, a new data breach or cyber threat is reported. A significant number of data breaches are caused by ineffective security features, software vulnerabilities, human error, malicious insiders, and the misappropriation of access and privileges. Artificial intelligence (AI) techniques can upgrade the access management system. As a result, research into artificial intelligence in IAM is required to enable organizations to take a more detailed and flexible approach to authentication and access control to mitigate cyber threats and other IAM challenges. This study explores the relationship between access management systems and artificial intelligence with regard to AI applications in identity and access management, specifically the monitoring, administration, and control of access privileges. The objective of this study was to provide evidence from the relevant literature to help understand how AI works in mitigating identified IAM challenges. The findings in this study demonstrate how artificial intelligence strengthens identity and access management in mitigating growing cyber threats, automating processes, and keeping up with technological advancements.;

504 a| Includes bibliographical references.;

650 0 a| Computer security.=| ^A257308;

650 0 a| Artificial intelligencex| Industrial applications.=| ^A15394;

650 0 a| Computersx| Access control.=| ^A83351;

653 a| Access management;

653 a| Identity management;

653 a| AI techniques;

700 1 a| Pickard, John,e| degree supervisor.=| ^A1468944;

710 2 a| East Carolina University.b| Department of Technology Systems.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/12838;

949 o| wjh;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 6143683;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6143683-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 6/9/2023x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6143683-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 6/9/2023x| ETDz| HERESOURCE;

Artificial intelligence-based access management system / by Victoria Adenola.

Author/creator	Adenola, Victoria author.
Other author	Pickard, John, degree supervisor.
Other author	East Carolina University. Department of Technology Systems.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2023.
Description	1 online resource (79 pages)
Supplemental Content	Access via ScholarShip
Subjects	Computer security. Artificial intelligence--Industrial applications. Computers--Access control.

Summary	The foundation of cybersecurity is identity and access management (IAM). Its methods, procedures, and guidelines control identity access to digital resources and define the scope of identity permission over the resources. Every week, a new data breach or cyber threat is reported. A significant number of data breaches are caused by ineffective security features, software vulnerabilities, human error, malicious insiders, and the misappropriation of access and privileges. Artificial intelligence (AI) techniques can upgrade the access management system. As a result, research into artificial intelligence in IAM is required to enable organizations to take a more detailed and flexible approach to authentication and access control to mitigate cyber threats and other IAM challenges. This study explores the relationship between access management systems and artificial intelligence with regard to AI applications in identity and access management, specifically the monitoring, administration, and control of access privileges. The objective of this study was to provide evidence from the relevant literature to help understand how AI works in mitigating identified IAM challenges. The findings in this study demonstrate how artificial intelligence strengthens identity and access management in mitigating growing cyber threats, automating processes, and keeping up with technological advancements.
General note	Presented to the Faculty of the Department of Technology Systems
General note	Advisor: John Pickard
General note	Title from PDF t.p. (viewed May 29, 2024).
Dissertation note	M.S. East Carolina University 2023.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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Artificial intelligence-based access management system / by Victoria Adenola.

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