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Security policies and trust in ubiquitous computing.

Anupam Joshi1, Tim Finin, Lalana Kagal

  • 1Department of Computer Science and Electrical Engineering, University of Maryland-Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA. joshi@cs.umbc.edu

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This research explores security and privacy challenges in ubiquitous computing environments with limited connectivity. It proposes peer-to-peer solutions to enhance data trustworthiness and service reliability in dynamic systems.

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Area of Science:

  • Computer Science
  • Ubiquitous Computing
  • Network Security

Background:

  • Ubiquitous environments feature resource-constrained devices and ad hoc networks with limited internet connectivity.
  • Conventional server-centric security mechanisms are often infeasible due to connectivity limitations.
  • Peer-to-peer interactions offer a viable alternative for information exchange and security management.

Purpose of the Study:

  • To address the challenges of security, privacy, trust, and data reliability in ubiquitous computing.
  • To explore practical solutions for protecting mobile and wearable devices in peer-to-peer interactions.
  • To investigate declarative policy-driven approaches for managing dynamic ubiquitous systems.

Main Methods:

  • Overview of challenges in ubiquitous environments.
  • Discussion of peer-to-peer interaction models for security and privacy.
  • Exploration of policy-driven approaches for system management.

Main Results:

  • Identified limitations of conventional security in resource-constrained, intermittently connected environments.
  • Highlighted the potential of peer-to-peer interactions for security and privacy management.
  • Emphasized the nascent stage of practical solutions for trust and data reliability in such systems.

Conclusions:

  • Peer-to-peer interactions are crucial for security and privacy in ubiquitous computing.
  • Declarative policy-driven methods are promising for handling dynamic ubiquitous systems.
  • Further research is needed to develop robust solutions for trust and data accuracy in these environments.