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Record W2044923352 · doi:10.1504/ijhpcn.2005.009424

A security system implementation using software agents

2005· article· en· W2044923352 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of High Performance Computing and Networking · 2005
Typearticle
Languageen
FieldComputer Science
TopicMobile Agent-Based Network Management
Canadian institutionsAcadia University
Fundersnot available
KeywordsComputer scienceGuard (computer science)ImplementationComputer securityArchitectureService (business)EncryptionInterface (matter)Operating systemSoftware engineeringBusiness

Abstract

fetched live from OpenAlex

This paper presents multi-agent system architecture to protect hosts and users. The main objective of this system is to provide a secure environment to users at two levels. At the first level, the user is authenticated and authorised. At the second level, the messages are encrypted, decrypted, signed and verified. The system architecture is comprised of three tiers. At the front end of the system, interface agents interact with the users to fulfil their interests. At the middle tier of the system, service guard agents act as the system safeguard by authenticating and authorising users so that they can access the system and use the service resources appropriately. At the back end of the system, service provider agents offer different security services to different users. This paper provides the system and the agents' design as well as the implementations of the agents that make them capable of working together to provide a secure environment. A prototype of the system is implemented to demonstrate how the agents communicate and coordinate their activities to provide a secure environment.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.288
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it