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Access Control for Emerging Distributed Systems.

Vincent C Hu1, D Richard Kuhn2, David F Ferraiolo3

  • 1National Institute of Standards and Technology. Contact him at vhu@nist.gov.

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Summary
This summary is machine-generated.

Massive distributed systems, including BigData, Cloud, Grid, and Internet of Things (IoT), can enhance data processing and security. This research explores leveraging these technologies to improve efficiency while mitigating risks associated with large-scale data handling.

Keywords:
Access ControlAccess Control PolicyDistributed SystemsSecurity

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Area of Science:

  • Computer Science
  • Information Technology
  • Cybersecurity

Background:

  • Emerging technologies like BigData, Cloud, Grid, and the Internet of Things (IoT) are fundamentally altering data systems.
  • There is a growing interest among IT professionals in utilizing distributed systems for enhanced security and fraud prevention.

Purpose of the Study:

  • To investigate how the capabilities of massive distributed systems can be optimized for improved data processing.
  • To explore methods for harnessing distributed systems to mitigate, rather than increase, security risks and potential fraud.

Main Methods:

  • Analysis of distributed system architectures.
  • Review of current security and fraud prevention strategies in BigData, Cloud, Grid, and IoT environments.
  • Exploration of risk management frameworks for large-scale data processing.

Main Results:

  • Identified key architectural patterns in distributed systems that facilitate efficient data processing.
  • Highlighted specific security vulnerabilities and fraud vectors unique to massive distributed environments.
  • Proposed strategies for integrating security measures seamlessly into distributed data workflows.

Conclusions:

  • Massive distributed systems offer significant potential for enhancing data processing efficiency and security.
  • Proactive risk management and tailored security protocols are essential for preventing fraud in these systems.
  • Further research is needed to develop robust, scalable solutions for secure distributed data management.