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RISS 인기검색어
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- 저자 : Taghezout, Noria (검색결과 3 건)
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- 유료
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Noria Taghezout,Abdelkader Adla,Pascale Zarate 보안공학연구지원센터 2009 International Journal of Software Engineering and Vol.3 No.2
Agents are designed to be autonomous problem-solvers, possibly communicating with other agents and users, and are therefore equipped with sufficient cognitive abilities to reason about a domain, make certain types of decisions themselves, and perform the associated actions. In this paper, we propose to integrate agents in a Cooperative Intelligent Decision Support System. The resulting system, called MACIDS is designed to support operators during contingencies. During the contingency, the operators using MACIDS should be able to: gather information about the incident location; access databases related to the incident; activate predictive modeling programs; support analyses of the operator, and monitor the progress of the situation and action execution. In MACIDS the communication support enhances communication and coordination capabilities of participants. A simple scenario is given, to illustrate the feasibility of the proposal.
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Houari, Nawal Sad,Taghezout, Noria Korea Information Processing Society 2016 Journal of information processing systems Vol.9 No.3
Our approach permits to capitalize the expert's knowledge as business rules by using an agent-based platform. The objective of our approach is to allow experts to manage the daily evolutions of business domains without having to use a technician, and to allow them to be implied, and to participate in the development of the application to accomplish the daily tasks of their work. Therefore, the manipulation of an expert's knowledge generates the need for information security and other associated technologies. The notion of cryptography has emerged as a basic concept in business rules modeling. The purpose of this paper is to present a cryptographic algorithm based approach to integrate the security aspect in business rules modeling. We propose integrating an agent-based approach in the framework. This solution utilizes a security agent with domain ontology. This agent applies an encryption/decryption algorithm to allow for the confidentiality, authenticity, and integrity of the most important rules. To increase the security of these rules, we used hybrid cryptography in order to take advantage of symmetric and asymmetric algorithms. We performed some experiments to find the best encryption algorithm, which provides improvement in terms of response time, space memory, and security.
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( Nawal Sad Houari ),( Noria Taghezout ) 한국정보처리학회 2016 Journal of information processing systems Vol.12 No.4
Our approach permits to capitalize the expert`s knowledge as business rules by using an agent-based platform. The objective of our approach is to allow experts to manage the daily evolutions of business domains without having to use a technician, and to allow them to be implied, and to participate in the development of the application to accomplish the daily tasks of their work. Therefore, the manipulation of an expert`s knowledge generates the need for information security and other associated technologies. The notion of cryptography has emerged as a basic concept in business rules modeling. The purpose of this paper is to present a cryptographic algorithm based approach to integrate the security aspect in business rules modeling. We propose integrating an agent-based approach in the framework. This solution utilizes a security agent with domain ontology. This agent applies an encryption/decryption algorithm to allow for the confidentiality, authenticity, and integrity of the most important rules. To increase the security of these rules, we used hybrid cryptography in order to take advantage of symmetric and asymmetric algorithms. We performed some experiments to find the best encryption algorithm, which provides improvement in terms of response time, space memory, and security.
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