Towards a self-forensics property in the ASSL toolset

  • Authors:
  • Serguei A. Mokhov;Emil Vassev;Joey Paquet;Mourad Debbabi

  • Affiliations:
  • Concordia University, Montreal, QC, Canada;University College Dublin, Dublin, Ireland;Concordia University, Montreal, QC, Canada;Concordia University, Montreal, QC, Canada

  • Venue:
  • Proceedings of the Third C* Conference on Computer Science and Software Engineering
  • Year:
  • 2010

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Abstract

This preliminary conceptual work discusses a notion of self-forensics as an autonomic property to augment the Autonomic System Specification Language (ASSL) framework of formal specification tools for autonomic systems. The core of the proposed methodology leverages existing designs, theoretical results, and implementing systems to enable rapid completion of and validation of the experiments and their the results initiated in this work. Specifically, we leverage the ASSL toolkit to add the self-forensics autonomic property (SFAP) to enable generation of the Java-based Object-Oriented Intensional Programming (JOOIP) language code laced with traces of Forensic Lucid to encode contextual forensic evidence and other expressions.