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Query based Access Control for Secure Collaborative Modeling using Bidirectional Transformations

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debrecenics edited this page Aug 2, 2016 · 1 revision

Abstract

Large-scale model-driven system engineering projects are carried out collaboratively. Engineering artifacts stored in model repositories are developed in either offline (checkout-modify-commit) or online (GoogleDoc-style) scenarios. Complex systems frequently integrate models and components developed by different teams, vendors and suppliers. Thus confidentiality and integrity of design artifacts need to be protected by access control policies.

We propose a technique for secure collaborative modeling where (1) fine-grained access control for models can be defined by model queries, and (2) such access control policies are strictly enforced by bidirectional model transformations. Each collaborator obtains a filtered local copy of the model containing only those model elements which they are allowed to read; write access control policies are checked on the server upon submitting model changes. We illustrate the approach and carry out an initial scalability assessment using a case study of the MONDO EU project.

Evaluation

Reproducable Measurement

This github project contains well-detailed instructions how to setup the measurement environment to reproduce our evaluation.

Results

Raw Data

  • Model Size: 25
ModelSize UserSize NumberOfLegs ExecutionTime(nano)
25 10 11 642894441
25 10 11 462378306
25 10 11 441805208
25 10 11 270496868
25 10 11 283674137
25 10 11 296010212
25 10 11 243486312
25 10 11 250196186
25 10 11 261531553
25 10 11 257995719
25 20 11 306916217
25 20 11 310739005
25 20 11 318599693
25 20 11 306722490
25 20 11 279037525
25 20 11 293044012
25 20 11 308486130
25 20 11 454447911
25 20 11 374107756
25 20 11 379059121
25 30 11 671912399
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25 30 11 713891235
25 30 11 851129752
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25 30 11 572464714
25 30 26 1202310181
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25 40 11 669543203
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25 40 26 1392670457
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25 50 11 755241421
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25 50 26 1712832367
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25 90 11 1324461104
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  • Model Size: 38
ModelSize UserSize NumberOfLegs ExecutionTime(nano)
38 10 11 684795870
38 10 11 724832734
38 10 11 508705516
38 10 11 466850700
38 10 11 464118426
38 10 11 445944888
38 10 11 441612337
38 10 11 445280744
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38 20 11 572357800
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38 20 11 545707327
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38 30 26 1268823462
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