What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Database
- The Internet
Vijayalakshmi Atluri mainly focuses on Access control, Workflow, Workflow management system, Computer security and Workflow engine.
His study in the fields of Role-based access control under the domain of Access control overlaps with other disciplines such as Hierarchy.
The concepts of his Workflow study are interwoven with issues in Business process and Separation of duties.
His studies deal with areas such as Transaction model and Petri net as well as Workflow management system.
His study looks at the intersection of Computer security and topics like World Wide Web with Waypoint.
His Workflow engine study incorporates themes from Workflow technology and Software engineering.
His most cited work include:
- An authorization model for temporal and derived data: securing information portals (57 citations)
- A Petri net based safety analysis of workflow authorization models^1 (54 citations)
- Preserving mobile customer privacy: an access control system for moving objects and customer profiles (51 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Access control, Computer security, Data mining, Role-based access control and Distributed computing.
His Access control research focuses on Authorization and how it relates to Object.
In Computer security, Vijayalakshmi Atluri works on issues like Location-based service, which are connected to Information sensitivity and Anonymity.
His work on Discretionary access control as part of general Role-based access control study is frequently linked to Set, therefore connecting diverse disciplines of science.
His studies in Distributed computing integrate themes in fields like Task and Workflow technology, Workflow engine, Workflow, Workflow management system.
His Workflow management system research includes themes of Business process and Software engineering.
He most often published in these fields:
- Access control (40.00%)
- Computer security (29.29%)
- Data mining (16.43%)
What were the highlights of his more recent work (between 2012-2018)?
- Access control (40.00%)
- Role-based access control (15.71%)
- Computer security (29.29%)
In recent papers he was focusing on the following fields of study:
Vijayalakshmi Atluri mainly investigates Access control, Role-based access control, Computer security, Data mining and Distributed computing.
His research in the fields of Attribute-based access control overlaps with other disciplines such as Flexibility.
His Role-based access control study integrates concerns from other disciplines, such as Task, Heuristic and Process management.
When carried out as part of a general Computer security research project, his work on Computer security model is frequently linked to work in Enforcement, therefore connecting diverse disciplines of study.
Within one scientific family, he focuses on topics pertaining to State under Data mining, and may sometimes address concerns connected to Representation, Table and Relational database.
Distributed computing is closely attributed to Separation of duties in his research.
Between 2012 and 2018, his most popular works were:
- A Survey of Role Mining (49 citations)
- Enhancing the government service experience through QR codes on mobile platforms (30 citations)
- Meeting Cardinality Constraints in Role Mining (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Database
- The Internet
Vijayalakshmi Atluri spends much of his time researching Access control, Role-based access control, Computer security, Data mining and Theoretical computer science.
The study incorporates disciplines such as Distributed computing and Categorization in addition to Access control.
His Role-based access control research incorporates elements of Security analysis, Field and Knowledge management.
His Computer security research is multidisciplinary, incorporating elements of Control and Waypoint.
His Data mining study combines topics from a wide range of disciplines, such as Overhead and Boolean data type.
His research in Theoretical computer science intersects with topics in Heuristic, Constraint and Greedy algorithm.
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