Browsing by Author "Djellalbia, Amina"

Now showing 1 - 4 of 4
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    A Novel Approach to Preserving Privacy in Social Network Data Publishing
    (CERIST, 2016-10-24) Bensimessaoud, Sihem; Benmeziane, Souad; Badache, Nadjib; Djellalbia, Amina
    Today, more and more social network data are published for data analysis. Although this analysis is important, these publications may be targeted by re-identification attacks i.e., where an attacker tries to recover the identities of some nodes that were removed during the anonymization process. Among these attacks, we distinguish "the neighborhood attacks" where an attacker can have background knowledge about the neighborhoods of target victims. Researchers have developed anonymization models similar to k-anonymity, based on edge adding, but can significantly alter the properties of the original graph. In this work, a new anonymization algorithm based on the addition of fake nodes is proposed, which ensures that the published graph preserves another important utility that is the average path length “APL”.
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    An Adaptive Anonymous Authentication for Cloud Environment
    (CERIST, 2015-04-28) Djellalbia, Amina; Benmeziane, Souad; Badache, Nadjib; Bensimessaoud, Sihem
    Preserving identity privacy is a significant challenge for the security in cloud services. Indeed, an important barrier to the adoption of cloud services is user fear of privacy loss in the cloud. One interesting issue from a privacy perspective is to hide user’s usage behavior or meta-information which includes access patterns and frequencies when accessing services. Users may not want the cloud provider to learn which resources they access and how often they use a service by making them anonymous. In this paper, we will propose an adaptive and flexible approach to protect the identity privacy through an anonymous authentication scheme.
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    An Adaptive Anonymous Authentication for Cloud Environment
    (IEEE Xplore Digital labrary, 2015-06-02) Djellalbia, Amina; Benmeziane, Souad; Badache, Nadjib; Bensimessaoud, Sihem
    Preserving identity privacy is a significant challenge for the security in cloud services. Indeed, an important barrier to the adoption of cloud services is user fear of privacy loss in the cloud. One interesting issue from a privacy perspective is to hide user’s usage behavior or meta-information which includes access patterns and frequencies when accessing services. Users may not want the cloud provider to learn which resources they access and how often they use a service by making them anonymous. In this paper, we will propose an adaptive and flexible approach to protect the identity privacy through an anonymous authentication scheme.
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    Anonymous Authentication Scheme in e-Health Cloud environment
    (CERIST, 2016-10-20) Djellalbia, Amina; Benmeziane, Souad; Badache, Nadjib; Bensimessaoud, Sihem
    The adoption of an e-Health Cloud has different advantages especially allowing sharing and exchanging information between medical institutions, availability of information, reducing costs, etc. However, preserving identity privacy is a significant challenge of security in all environments, and constitutes particularly a very serious concern in Cloud environments. Indeed, an important barrier to the adoption of Cloud is user fear of privacy loss in the Cloud, particularly in an e-Health Cloud where users are Patients. Users may not want to disclose their identities to the Cloud Service Provider, a way to protect them is making them anonymous. In this paper, we will propose an adaptive and flexible approach to protect the identity privacy of Patients in an e-Health Cloud through an anonymous authentication scheme.