Research Reports
Permanent URI for this collectionhttp://dl.cerist.dz/handle/CERIST/34
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Item A Novel Approach to Preserving Privacy in Social Network Data Publishing(CERIST, 2016-10-24) Bensimessaoud, Sihem; Benmeziane, Souad; Badache, Nadjib; Djellalbia, AminaToday, 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”.Item Anonymous Authentication Scheme in e-Health Cloud environment(CERIST, 2016-10-20) Djellalbia, Amina; Benmeziane, Souad; Badache, Nadjib; Bensimessaoud, SihemThe 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.Item An Adaptive Anonymous Authentication for Cloud Environment(CERIST, 2015-04-28) Djellalbia, Amina; Benmeziane, Souad; Badache, Nadjib; Bensimessaoud, SihemPreserving 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.Item A clustering technique to analyse anonymous systems(CERIST, 2014-07-20) Benmeziane, Souad; Badache, NadjibConcerns about privacy and anonymity have gained more and more attention in conjunction with the rapid growth of the Internet as a means of communication and information dissemination. A number of anonymous communication systems have been developed to protect the identity of communication participants. Nevertheless, it is important to provide ways to evaluate and measure the level of anonymity provided. We introduce in this report the use of hierarchical clustering technique to analyse anonymous systems. We propose a new measure to evaluate anonymous systems by introducing the concept of dominant cluster. We further show that using this measure will overcome the limitations of other existing measures.Item Tor Network Limits(CERIST, 2010-12) Benmeziane, Souad; Badache, NadjibTor is a volunteer run relay network designed for privacy, anonymity, and censorship resistance. Tor has become the most successful public anonymity communication service in the Internet because of its low latency. In this paper, we present a method to exploit the Tor limits in conjunction with the public profile of a user to reduce the degree of anonymity.