Ashraf Elsisi

Work place: Faculty of Computers and Information/Computer Science, Menofia University, Egypt

E-mail: ashraf.elsisi@ci.menofia.edu.eg

Website:

Research Interests: Computer systems and computational processes, Autonomic Computing, Computer Architecture and Organization, Data Mining, Data Structures and Algorithms

Biography

Ashraf El-Sisi received the B.Sc. and M.Sc. in Electronic Engineering and Computer Science Engineering from  Menofia University, Faculty of Electronic in 1989 and 1995, respectively and received his Ph.D. in Computer Engineering & Control from Zagazig University, Faculty of Engineering in 2001. His research interest includes cloud computing, privacy preserving data mining, and Intelligent systems

Author Articles
Extend Web Service Security Negotiation Framework in Privacy

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.

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Improving Matching Web Service Security Policy Based on Semantics

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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