Chemnitz, Techn. Univ., Studienarb., 2002.

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

Thesis (M. S.)--University of North Carolina at Greensboro, 2006. / Title from PDF title page screen. Advisor: Shanmugathasan Suthaharan ; submitted to the Dept. of Mathematical Sciences. Includes bibliographical references (p. 33-34)

Thesis (M.Eng.)(Electronic)--University of Pretoria, 2005. / Title from opening screen (viewed March 22, 2006). Includes summaries in English and Afrikaans. Includes bibliographical references.

Thesis (Ph.D.)--University of Idaho, 2006. / Major professor: Jim Alves-Foss. Abstract. Includes bibliographical references (leaves 82-86). Also available online in PDF format.

No description available.

The publication and interchange of RDF datasets online has experienced significant growth in recent years, promoted by different but complementary efforts, such as Linked Open Data, the Web of Things and RDF stream processing systems. However, the current Linked Data infrastructure does not cater for the storage and exchange of sensitive or private data. On the one hand, data publishers need means to limit access to confidential data (e.g. health, financial, personal, or other sensitive data). On the other hand, the infrastructure needs to compress RDF graphs in a manner that minimises the amount of data that is both stored and transferred over the wire. In this paper, we demonstrate how HDT - a compressed serialization format for RDF - can be extended to cater for supporting encryption. We propose a number of different graph partitioning strategies and discuss the benefits and tradeoffs of each approach.

Confusion and Diffusion are two properties of a secure cipher, identified by Claude Shannon. Confusion refers to making the relationship between the ciphertext and the symmetric key as complex and involved as possible. We try to achieve more confusion by creating a ciphertext of different length for a given plaintext when key is changed. As per our knowledge, all the existing symmetric encryption techniques will generate cipher text of same length for a given plaintext with different keys. The technique we are implementing here, will create ciphertext with different length for a given plaintext if we change the appropriate values in the key. This symmetric encryption technique will also possibly make the recovery of key very hard for the attacker.

In this article we will deal with the prime numbers and its current use in encryption algorithms. Encryption algorithms make possible the exchange of sensible data in internet, such as bank transactions, email correspondence and other internet transactions where privacy is important.

L'annonce de l'essor du chiffrement des données se heurte à celle de l'avènement du "big data". Il n'est maintenant plus suffisant d'envoyer et de recevoir des données, il faut pouvoir les analyser, les exploiter ou encore les partager à grande échelle. Or, les données à protéger sont de plus en plus nombreuses, notamment avec la prise de conscience de l'impact qu'ont les nouvelles technologies (smartphones, internet of things, cloud,...) sur la vie privée des utilisateurs. En rendant ces données inaccessibles, le chiffrement bloque a priori les fonctionnalités auxquelles les utilisateurs et les fournisseurs de service sont habitués. Pour rétablir ces fonctionnalités, il est nécessaire de savoir calculer des fonctions de données chiffrées, et cette thèse explore plusieurs pistes dans ce sens. Dans une première partie, nous nous intéressons au chiffrement totalement homomorphe qui permet de réaliser des calculs arbitraires sur les données chiffrées. Ce type de chiffrement est cependant particulièrement coûteux, notamment à cause de l'appel souvent nécessaire à une procédure très coûteuse : le réamorçage. Nous prouvons ici que minimiser le nombre de réamorçages est un problème NP-complet et donnons une méthode pratique pour approximer ce minimum. Dans une seconde partie, nous étudions des schémas dédiés à une fonctionnalité donnée. Le premier cas d'usage considéré est celui de la déduplication vérifiable de données chiffrées. Il s'agit pour un serveur de stockage externe d'être assuré qu'il ne conserve qu'un seul exemplaire de chaque fichier, même si ceux-ci sont chiffrés, ce qui lui permet d'optimiser l'usage de ses ressources mémoires. Ensuite, nous proposons un schéma de chiffrement cherchable permettant de détecter des intrusions dans un réseau de télécommunications chiffrés. En effet, le travail d'inspection du réseau par des moteurs d'analyse est actuellement entravé par la croissance du trafic chiffré. Les résultats obtenus permettent ainsi d'assurer la confidentialité des échanges tout en garantissant l'absence d'intrusions malveillantes dans le trafic / Nowadays, encryption and services issued of ``big data" are at odds. Indeed, encryption is about protecting users privacy, while big data is about analyzing users data. Being increasingly concerned about security, users tend to encrypt their sensitive data that are subject to be accessed by other parties, including service providers. This hinders the execution of services requiring some kind of computation on users data, which makes users under obligation to choose between these services or their private life. We address this challenge in this thesis by following two directions.In the first part of this thesis, we study fully homomorphic encryption that makes possible to perform arbitrary computation on encrypted data. However, this kind of encryption is still inefficient, and this is due in part to the frequent execution of a costly procedure throughout evaluation, namely the bootstrapping. Thus, efficiency is inversely proportional to the number of bootstrappings needed to evaluate functions on encrypted data. In this thesis, we prove that finding such a minimum is NP-complete. In addition, we design a new method that efficiently finds a good approximation of it. In the second part, we design schemes that allow a precise functionality. The first one is verifiable deduplication on encrypted data, which allows a server to be sure that it keeps only one copy of each file uploaded, even if the files are encrypted, resulting in an optimization of the storage resources. The second one is intrusion detection over encrypted traffic. Current encryption techniques blinds intrusion detection services, putting the final user at risks. Our results permit to reconcile users' right to privacy and their need of keeping their network clear of all intrusion