Certification and security in e-services : from e-government to e-business : IFIP 17th World Computer Congress, TC11 Stream on Security in E-services, August 26-29, 2002, Montréal, Québec, Canada
Bibliographic record
Abstract
Preface. Part I: International Workshop on Certification and Security in E-Services (CSES 2002). Workshop Organization. Introduction M. Talamo. Invited Speakers. A Network Management Viewpoint on Security in e-Services R. Boutaba, B. Ishibashi, B. Shihada. Security and Certification Issues in Grid Computing I. Foster, F. Siebenlist, S. Tuecke, V. Welch. Performance Considerations in Web Security A. Iyengar, R. Mraz, M.E. Zurko. Protecting Applications Against Malice Using AdaptiveMiddleware R.E. Schantz, F. Webber, P. Pal, J. Loyall, D.C. Schmidt. Contributed Full Papers. A Context-Aware Approach to Infer Trust in Public Key Infrastructures F. Di Vito, P. Inverardi, G. Melideo. Mountain Information System: A Distributed E-Government Office G. Marinelli, P. Russo. E-Government Services: Certification and Security Overlay F. Arcieri, R. Giaccio. A Multi-Expert Based Approach to Continuous Authentication of Mobile-Device Users O. Mazhelis, A. Seleznyov, S. Puuronen. Encrypted Database Integrity in Database Service Provider Model H. Hacigumus, B. Iyer, S. Mehrotra. Contributed Short Papers. Deploying Multi-tier Applications Across Multiple Security Domains I. Balabine, A. Koschel. Security Through Integration: Towards a Comprehensive Framework for Development and Certification B. Marquet, A. Rossi, F.J.N. Cosquer. Multiple Applications with a Single Smart Card D.T. Shaw, S. P. Maj. Part II: Workshop on E-Government and Security. Workshop Organization. Invited Speakers. Respecting Privacy in E-Government J. Stoddart. The Status of Privacy Enhancing Technologies J. Borking. Initiatives in the Fight Against Cyber Terrorism K. Tolan. Identification and Confidentiality for e-Government R. Posch,H. Leitold. Mastering E-Commerce and Globalization E. Dubreuil.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.039 | 0.009 |
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 source (direct Gemma or distilled Codex), 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".