Notice bibliographique
Résumé
Autonomic computing is the concept of designing complex information technology environments with the ability to perform management tasks on their own without human support. These systems have been defined by their ability to self-configure, self-optimize, self-heal, and self-protect. Administrators would only be required to specify the high level requirements of the system, rather than the mundate configuration of individual componts, greatly reducing the human requirements for administration of large systems. Self-protection refers to the ability of an autonomic computing system to secure itself against intrusions, and react to protect itself when it detects that an intruder has successfully circumvented the security policy on the system. While many of the individual elements that would be required for such abilities exist, very little research has been performed on how one would combine these elements to create an autonomic security system to meet this criteria of self-protection. A structure for autonomic computing security systems is proposed by mapping responsibilities that such a system would have to fulfil onto a basic architecture for an autonomic computing system as described by IBM. This hierarchy is divided up into three layers. The highest layer deals with policy inputs from the administrators themselves, both as generic system-wide security policy, and as policies inherent in the requirements for each application to be run on the system. The middle layer translates these into applicable policies for collections of elements and coordinates the actions of individual autonomic elements at the bottom layer. In the bottom layer reside the autonomic elements that provide the services of the system, and are ultimately responsible for detecting and responding to intrusions. Many components of such a system currently exist, and have been researched for many years, such as policy specification, intrusion detection systems, and rational agents. Other components, such as intrusion response and management technologies, are more recent research topics, and not often explored in the context of autonomic computing. It is proposed that an environment be designed to allow for experimentation into autonomic security structures. This could be based on a future release of autonomic computing technology, on a new system created using existing distributed communication technologies, or a simulation for experimental purposes. Once such an environment is available, research can be done into autonomic computing security structures and components. One interesting area is that of intrusion response, and more specifically that of a security through diversity approach; where the autonomic computing environment can respond to threats by replacing components with differing implementations.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».