smart.lab.tunisia@gmail.com +216 71 588 443
Connexion

Wiem Hammami

Informations générales

Wiem Hammami
Grade

Post Doc

Biographie courte

I am Dr. Wiem Hammami, a  Postdoctoral fellow at the  Higher Institute of Management of Tunis, specializing in data privacy protection. My current researches focus on privacy issues in  Genarative AI  (Gen AI) for education with a goal of establishing a framework for ethics in Gen AI education. I earned my PhD from the the  Higher Institute of Management of Tunis.my work on the field of privacy protection has resulted in several publications in  in peer-reviewed journals and conferences. I am particularly interesed in the interesection of Artificial Intelligence , privacy and  ethics. Outside the lab, I enjoy reading and playing basketball.

Axes de recherche

Artificial Intelligence
Cyber Security
Privacy data protection

Publications

  • 2014
    Wiem Hammami, Ilhem Souissi, Lamjed Ben Said

    A New Fuzzy-Based Approach for Anonymity Quantification in E-Services

    E-Services. International Journal of Information Security and Privacy (IJISP), 8(3), 13-38., 2014

    Résumé

    In online services, making anonymous transactions is a crucial need in order to ensure the user's trust towards a particular service. In this context, anonymity quantification is required to provide at which level the e-service respects the user privacy regarding the link between his/her identity and actions. Most of the existing researches are limited to the anonymity quantification in a static way and based, mainly, on the user's set size. In this paper, the authors propose a new multi-agent based approach for anonymity quantification in e-services considering dynamic and mobile environment's characteristics. The authors' quantification is based on the fuzzy logic. It is based not only on the anonymity set size, which is always known in advance, but also on a set of other criteria such as the number of users and the priori and posteriori knowledge about internal and external attackers of an e-service. The carried out experimentations show competitive and better results when compared to other recently proposed anonymity quantification.

    Wiem Hammami, Lamjed Ben Said

    The k-unobservability: a New Privacy Protection Guarantee for e-Service Systems

    the paper provide a new garantee for e-services in terms of observability of its users. the idea is inspried from the k-anonymity model, 2014

    Résumé

    k-unob

  • Wiem Hammami, Lamjed Ben Said

    A DISTRIBUTED PRIVACY-PRESERVING MODEL FOR E-SERVICES

    the paper propose a model for privacy protection of users in the context of e-services. A system based on our model has to respect a set of properties to preserve the user privacy, 2013

  • Wiem Hammami, Lamjed Ben Said, Sameh El Hadouaj, François Charoy, Khaled Ghedira

    Toward a Privacy Enhancing Framework in E-government.

    In : CAiSE Forum. 2010., 2010

    Résumé

    E-government involves data sharing between different partners such
    as citizens and government agencies. Thus, the use of personal data in such
    cooperative environment must be done in legal ways and for legal purposes. In
    this context, issues related to data protection, such as privacy, have to be
    considered. This paper adopts a multi-agent based approach to manage privacy
    concerns in e-government systems. The proposed model provides a mechanism
    for e-government systems to evaluate trust degree reached by digital
    government processes. For this purpose, concepts of responsibility proposed in
    multi-agent systems and access rights used in security models, are integrated in
    this work. The research provides an evaluative framework for trust degree
    related to e-government process.

    Wiem Hammami, Lamjed Ben Said, Sameh Hadouej

    ABC: A new Privacy Enhancing Model for eGovernment

    In ECEG2010-Proceedings of the 10th European Conference on E-Government: National Center for Taxation Studies University of Limerick, Ireland 17-18 June 2010 (p. 207). Academic Conferences Limited., 2010

    Résumé

    The use of eGovernment systems requires the collection of a big amount of personal data of citizens in every transaction. In such context, issues related to privacy, such as data collection and disclosure of personal information without any predefined purpose, have to be considered. In this paper, we propose a new multi-agent based model, called ABC, and used to handle privacy issues in eGovernment. The proposed model offers the possibility to statistically assess trust degree for a given eGovernment process. Also, a case study is used to simulate and to illustrate the applicability of the proposed model.