@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00766932v1> a dcat:Dataset ;
    dct:description """
              Content-Based Image Retrieval Systems (CBIRS) are now commonly used as a filtering mechanism against the piracy of multimedia contents. These systems often use the SIFT local-feature description scheme as its robustness against a large spectrum of image distortions has been assessed. But none of these systems have addressed the piracy problem from a ''security'' perspective. This thesis checks whether CBIRS are secure: Can pirates mount violent attacks against CBIRS by carefully studying the technology they use? First, we present the security flaws of the typical technology blocks used in state-of-the-art CBIRS. Then, we present very SIFT-specific attacks. The attacks are performed either during the keypoint detection step or during the keypoint description step. We also present a security-oriented Picture in Picture attack deluding CBIRS using post filtering geometric verifications. Experiments with a database made of 100,000 real world images confirm the effectiveness of proposed attacks.
            """ ;
    dct:identifier "tel-00766932" ;
    dct:issued "2026-05-30T06:49:17.892760"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-30T06:49:17.892771"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Security analysis of image copy detection systems based on SIFT descriptors" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00766932v1/resource/a4aecaf4-464b-4241-86de-bb88890bf483> ;
    dcat:keyword "cbir",
        "images",
        "indexation",
        "indexing",
        "infoeu-reposemanticsdoctoralthesis",
        "infoinfo-crcomputer-science-cscryptography-and-security-cscr",
        "infoinfo-ircomputer-science-csinformation-retrieval-csir",
        "infoinfo-ticomputer-science-csimage-processing-eessiv",
        "recherche-dimages-basee-contenu",
        "securite",
        "security",
        "sift",
        "theses" ;
    dcat:landingPage <https://theses.hal.science/tel-00766932> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00766932v1/resource/a4aecaf4-464b-4241-86de-bb88890bf483> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-30T06:49:17.917790"^^xsd:dateTime ;
    dct:modified "2026-05-30T06:49:17.852261"^^xsd:dateTime ;
    dct:title "Security analysis of image copy detection systems based on SIFT descriptors" ;
    dcat:accessURL <https://theses.hal.science/tel-00766932> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .

<https://theses.hal.science/tel-00766932> a foaf:Document .