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Optimal Employee Recruitment in Organizations under Attribute-Based Access Control.

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  • 1Goa Institute of Management, India.

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Summary
This summary is machine-generated.

This study introduces the Optimal Recruitment Problem (ORP) to efficiently hire new employees. A greedy heuristic effectively solves this NP-hard problem, ensuring security policies are met.

Keywords:
Employee Assignment OptimizationGraph ColoringGreedy algorithmH.1.2 [Models and Principles]: User/Machine SystemsRole Based Access Control (RBAC)Separation of DutyStatically Mutually Exclusive Roles (SMER) constraint

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Area of Science:

  • Computer Science
  • Human Resource Management

Background:

  • Effective human resource management requires optimal employee recruitment and assignment.
  • Security policies, like Attribute Based Access Control (ABAC), constrain employee task allocation.
  • Identifying the best candidates from a large pool is critical for business success.

Purpose of the Study:

  • To formalize the Optimal Recruitment Problem (ORP).
  • To develop an efficient solution for selecting minimum new employees while satisfying security constraints.
  • To address challenges in workforce reorganization and manpower utilization.

Main Methods:

  • Formalization of the Optimal Recruitment Problem (ORP).
  • Utilizing Attribute Based Access Control (ABAC) for security policy specification.
  • Development and application of a greedy heuristic algorithm.

Main Results:

  • The Optimal Recruitment Problem (ORP) is proven to be NP-hard.
  • The proposed greedy heuristic demonstrates effectiveness and efficiency.
  • Successful experimental evaluation of the heuristic's performance.

Conclusions:

  • The greedy heuristic provides a practical solution for the ORP.
  • This approach optimizes recruitment while adhering to complex security policies.
  • The findings contribute to efficient human resource management in organizations.