Work place: Faculty of Computers and Information/Computer Science, Menofia University, Egypt
E-mail: Amira.mohamed@ci.menofia.edu.eg
Website:
Research Interests: Distributed Computing, Data Mining, Database Management System, Data Structures and Algorithms
Biography
Amira Abdelatey received the B.Sc. and M.Sc. in computers and information from Menofia University, Faculty of computers and information in 2007 and 2012, respectively. Currently hold Ph.D. student in Faculty of computers and information, Menofia University. Her research interest includes semantic web, web service, intelligent systems, web service security, software engineering and database systems.
By Amira Abdelatey Mohamed Elkawkagy Ashraf Elsisi Arabi Keshk
DOI: https://doi.org/10.5815/ijitcs.2017.08.04, Pub. Date: 8 Aug. 2017
Nowadays web service privacy gets high attention especially in the fields of finance and medical. Privacy preserves access rights to personally identifiable information. Different models have been proposed for enforcing privacy in web service environment. Getting a privacy level for protecting data transferred between consumer and provider in a web service environment is still a problem. Negotiation helps participants to get a privacy level. This paper extends web service security negotiation framework in a multilateral web service environment for negotiating privacy. A repaired genetic negotiation framework used to conduct the privacy negotiation. In privacy negotiation, the negotiation communication structure uses a broker for negotiation; where each participant sends its attributes to the broker. Negotiation using this communication structure decreases the number of messages transferred so less execution time. The genetic-based Negotiation is compared to traditional time-based negotiation. Through experimental results, genetic based negotiation outperforms traditional time-based negotiation.
[...] Read more.By Amira Abdelatey Mohamed Elkawkagy Ashraf Elsisi Arabi Keshk
DOI: https://doi.org/10.5815/ijitcs.2016.12.08, Pub. Date: 8 Dec. 2016
Nowadays the trends of web is to become a collection of services that interoperate through the Internet. The first step towards this inter-operation is finding services that meet requester requirements; which is called a service discovery. Service discovery matches functional and non-functional properties of the requester with the provider. In this paper, an enhanced matching algorithm of Web Service Security Policy (WS-SP) is proposed to perform requirement-capability matchmaking of a consumer and a provider. Web service security policy specifies the security requirements or capabilities of a web service participant (a provider or a consumer). Security requirement or a capability of a participant is one of the non-functional properties of a web service. The security addressed through this paper is the integrity and the confidentiality of web service SOA message transmitted between participants. The enhanced matching algorithm states simple policy and complex policy cases of the web service security as a non-functional attribute. A generalization matching algorithm is introduced to get the best-matched web service provider from a list of available providers for serving the consumer.
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