Tools

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001 on1037952209;

003 OCoLC;

005 20181018040144.0;

006 m o d ;

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

008 180529s2018 ncua obm 000 0 eng d;

035 a| (Sirsi) o1037952209;

035 a| (OCoLC)1037952209;

049 a| EREE;

090 a| RA971.6;

100 1 a| Pandit, Bigyan,e| author.?| UNAUTHORIZED;

245 10 a| Thesis - generating knowledgebase of common behavior and workflow patterns for secure systems /c| by Bigyan Pandit.;

246 3 a| Generating knowledgebase of common behavior and workflow patterns for secure systems;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2018.;

300 a| 75 pages :b| color illustrations;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 1.27 MB2| rda;

538 a| System requirements: Adobe Reader.;

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

502 b| M.S.c| East Carolina Universityd| 2018;

500 a| Presented to the faculty of the Department of Computer Science;

500 a| Advisor: Kamran Sartipi;

500 a| Title from PDF t.p. (viewed September 27, 2018).;

520 3 a| Knowledge discovery from large data for system security management and threat detection have been a complex task due to large number of users and the dynamic nature of distributed systems. Healthcare organizations as a sensitive application domain serve a large community of users with different roles performing different sets of tasks. It is a complex process for one to one monitoring of all user's interactions to maintain a secure system. Thus, we need a complex system capable of handling and monitoring user's actions closely. To solve this issue, we propose a system that considers user's real-time behavioral activities and their predefined workflows based on their roles. We record system access log to capture users run-time information and apply data mining techniques to extract the common behavior patterns. These common behavior patterns help to analyze the common activities within the system. Adding knowledge base of workflow helps to make the system more robust by predefining the set of actions the user can perform. A search based engine is then applied to common behavior knowledgebase and workflow knowledgebase to discover the hidden knowledge behind user's interaction with the system. We construct a Petri Net of workflow to support the proposed architecture and validate the major findings using various healthcare scenarios in Prom tool. This thesis presents a knowledge driven decision support system that effectively assists the system administrator to get a deep insight into the user behavior, track insecure activities and redefine existing processes. The illustrative case study is an indication that it is both feasible and effective.;

504 a| Includes bibliographical references.;

650 0 a| Information storage and retrieval systemsx| Medical care.=| ^A437817;

650 0 a| Data mining.=| ^A408868;

650 0 a| Computer networksx| Monitoring.=| ^A1234257;

650 7 a| Computer networksx| Monitoring.2| fast0| (OCoLC)fst01765706;

650 7 a| Data mining.2| fast0| (OCoLC)fst00887946;

650 7 a| Information storage and retrieval systemsx| Medical care.2| fast0| (OCoLC)fst00972944;

653 a| Pattern;

653 a| Action;

653 a| Event;

653 a| Knowledgebase;

653 a| Workflow;

653 a| Behavior;

653 a| Petri Net;

700 1 a| Sartipi, Kamran,e| degree supervisor.?| UNAUTHORIZED;

710 2 a| East Carolina University.b| Department of Computer Science.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/6732;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 4867576;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4867576-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 5/31/2018x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 4867576-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 5/31/2018x| ETDz| HERESOURCE;

Thesis - generating knowledgebase of common behavior and workflow patterns for secure systems / by Bigyan Pandit.

Author/creator	Pandit, Bigyan author.
Other author	Sartipi, Kamran, degree supervisor.
Other author	East Carolina University. Department of Computer Science.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2018.
Description	75 pages : color illustrations
Supplemental Content	Access via ScholarShip
Subjects	Information storage and retrieval systems--Medical care. Data mining. Computer networks--Monitoring.

Variant title	Generating knowledgebase of common behavior and workflow patterns for secure systems
Summary	Knowledge discovery from large data for system security management and threat detection have been a complex task due to large number of users and the dynamic nature of distributed systems. Healthcare organizations as a sensitive application domain serve a large community of users with different roles performing different sets of tasks. It is a complex process for one to one monitoring of all user's interactions to maintain a secure system. Thus, we need a complex system capable of handling and monitoring user's actions closely. To solve this issue, we propose a system that considers user's real-time behavioral activities and their predefined workflows based on their roles. We record system access log to capture users run-time information and apply data mining techniques to extract the common behavior patterns. These common behavior patterns help to analyze the common activities within the system. Adding knowledge base of workflow helps to make the system more robust by predefining the set of actions the user can perform. A search based engine is then applied to common behavior knowledgebase and workflow knowledgebase to discover the hidden knowledge behind user's interaction with the system. We construct a Petri Net of workflow to support the proposed architecture and validate the major findings using various healthcare scenarios in Prom tool. This thesis presents a knowledge driven decision support system that effectively assists the system administrator to get a deep insight into the user behavior, track insecure activities and redefine existing processes. The illustrative case study is an indication that it is both feasible and effective.
General note	Presented to the faculty of the Department of Computer Science
General note	Advisor: Kamran Sartipi
General note	Title from PDF t.p. (viewed September 27, 2018).
Dissertation note	M.S. East Carolina University 2018
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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Thesis - generating knowledgebase of common behavior and workflow patterns for secure systems / by Bigyan Pandit.

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