Research Reports

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    Un modèle de composition des services web sémantiques
    (CERIST, 2008-09) Temglit, Nacéra; Aliane, Hassina; Ahmed-Nacer, Mohamed
    Le travail présenté ici vise à proposer un modèle pour la composition des services web sémantiques. Ce modèle est basé sur une représentation sémantique de l'ensemble des concepts manipulés par les services web d’un domaine d'application, à savoir, les opérations et les concepts statiques utilisés pour décrire les propriétés des services web. Différents niveaux d'abstraction sont donnés au concept opération pour permettre un accès progressif aux services concrets. Ainsi, deux plans de composition à granularités différentes (abstrait et concrets) sont générés. Ceci permettra de réutiliser des plans déjà construits pour répondre à des besoins similaires et même avec des préférences modifiées.
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    Semantic web service composition: Multi-level based approach
    (CERIST, 2009-03) Temglit, Nacéra; Ahmed-Nacer, Mohamed
    Web service composition has quickly become a key area of research in the services oriented architecture community. It is originated from the necessity to combine existing services to achieve a predetermined goal that cannot be realized by a standalone service. Semantic service description is supposed to be the key element for dynamic composition of Web services, since it enables rich machine understandable descriptions of their capabilities and parameters [7]. This paper introduces a framework for performing dynamic service composition based on three level of semantic description and organization of web services. Thus, we present three main phases to generate composite service from high-level declarative Query. Two level granularities of composition plan are gradually generated (abstract and concrete) using our approach. This will reuse plans already constructed to meet similar needs even with modified preferences. The core of our proposed composition process is the matchmaking algorithm extended from that of [13].
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    Towards an intrusion detection system : a critical and comparative study
    (CERIST, 2008) Bensefia, Hassina; Ahmed-Nacer, Mohamed
    An Intrusion Detection System(IDS), that is destined to supervise an environment, must adjust itself according to every change in the environment and be handling every new attack occurrence. This feature is referred to as the adaptability. It makes the IDS a learning system in relation to its target environment, practicing an autonomous and continuous learning of new attacks. This paper develops a critical and comparative study of existing adaptive intrusion detection models. The objective of such study is to be oriented with regard to related works in the aim of building our own vision to add contribution in the IDS adaptability context.