DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorTsapatsoulis, Nicolas-
dc.date.accessioned2024-09-06T08:28:53Z-
dc.date.available2024-09-06T08:28:53Z-
dc.date.issued2016-01-01-
dc.identifierscopus-84963756646-
dc.identifier.issn2168-6750-
dc.identifier.other84963756646-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2781-
dc.description.abstractIn wireless communications, sensitive information is frequently exchanged, requiring remote authentication. Remote authentication involves the submission of encrypted information, along with visual and audio cues (facial images/videos, human voice, and so on). Nevertheless, Trojan horse and other attacks can cause serious problems, especially in the cases of remote examinations (in remote studying) or interviewing (for personnel hiring). This paper proposes a robust authentication mechanism based on semantic segmentation, chaotic encryption, and data hiding. Assuming that user X wants to be remotely authenticated, initially X's video object (VO) is automatically segmented, using a head-and-body detector. Next, one of X's biometric signals is encrypted by a chaotic cipher. Afterwards, the encrypted signal is inserted to the most significant wavelet coefficients of the VO, using its qualified significant wavelet trees (QSWTs). QSWTs provide both invisibility and significant resistance against lossy transmission and compression, conditions that are typical of wireless networks. Finally, the inverse discrete wavelet transform is applied to provide the stego-object. Experimental results regarding: 1) security merits of the proposed encryption scheme; 2) robustness to steganalytic attacks, to various transmission losses and JPEG compression ratios; and 3) bandwidth efficiency measures indicate the promising performance of the proposed biometrics-based authentication scheme.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Emerging Topics in Computingen_US
dc.subjectBiometricsen_US
dc.subjectBiometrics hidingen_US
dc.subjectQSWTsen_US
dc.subjectRemote authenticationen_US
dc.subjectSteganographic systemen_US
dc.subjectVideo objecten_US
dc.titleRemote Authentication via Biometrics: A Robust Video-Object Steganographic Mechanism over Wireless Networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TETC.2015.2400135en_US
dc.identifier.scopus2-s2.0-84963756646-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume4en_US
dc.relation.issue1en_US
dc.identifier.spage156en_US
dc.identifier.epage174en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.openairetypeArticle-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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