Master of Science Thesis 1 Towards A Secure Negotiation Protocol For Virtual Organisations
Bibliographic record
Abstract
1 The thesis corresponds to 20 weeks of full-time work for each of the authors. The need for negotiating Service Level Agreement contracts in Web Services and Virtual Organisations is there to establish trust in an otherwise untrustworthy business environment. The TrustCoM project aims to develop a framework that among other functions assists in the creation and management of such contracts in the context of Virtual Organizations as well as the trust and security issues that may arise. TrustCoM has not resolved the issue of which negotiation protocol to use in order to negotiate this type of contract. It is to this end that this thesis studies existing negotiation protocols and decides which one is suitable for the framework, suitability in terms of functionality and security. The Montreal Taxonomy, a taxonomy for classifying negotiation protocols, was applied to several existing protocols. From the studies, none of the protocols suited the requirements so this thesis suggests detailed modifications to an existing negotiation protocol. The security requirements were gathered by performing risk analysis (using the
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".