{"id":22185,"date":"2024-09-23T14:57:00","date_gmt":"2024-09-23T14:57:00","guid":{"rendered":"https:\/\/www.complycube.com\/?p=22185"},"modified":"2024-10-31T14:28:58","modified_gmt":"2024-10-31T14:28:58","slug":"deepfakes-vs-biometrische-lebenderkennung","status":"publish","type":"post","link":"https:\/\/www.complycube.com\/de\/deepfakes-vs-biometric-liveness-detection\/","title":{"rendered":"Deepfakes vs. biometrische Lebenderkennung"},"content":{"rendered":"<p>In der heutigen digitalen Landschaft ist es fast unm\u00f6glich, ein Deepfake-Video von einem authentischen zu unterscheiden. Angesichts der Zunahme neuer KI-gest\u00fctzter Angriffe haben Organisationen Schwierigkeiten, die richtige Sicherheitsinfrastruktur zu finden, um sich dagegen zu wehren. Das leistungsst\u00e4rkste Tool ist sicherlich die biometrische Echtzeiterkennungstechnologie, die sichere biometrische \u00dcberpr\u00fcfungsprozesse und verbesserte Sicherheit erm\u00f6glicht. Die Echtzeiterkennung bietet einen ausgekl\u00fcgelten Gesichtsauthentifizierungsprozess, der subtile Mikroausdr\u00fccke, Hauttexturen und mehr untersuchen kann \u2013 und so Pr\u00e4sentationsangriffe durch die Analyse biometrischer Daten stoppt. In diesem Leitfaden wird untersucht, wie Deepfake-Technologien Gesichtsauthentifizierungsprozesse untergraben, welche neuen Bedrohungen sie darstellen und wie sich Organisationen mit der Echtzeiterkennung sch\u00fctzen k\u00f6nnen.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"577\" src=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/4-2-1024x577.png\" alt=\"biometrische Lebenderkennung\" class=\"wp-image-22194\" srcset=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/4-2-1024x577.png 1024w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/4-2-300x169.png 300w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/4-2-768x433.png 768w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/4-2-1536x866.png 1536w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/4-2-2048x1154.png 2048w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/4-2-18x10.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Wie funktioniert die Lebendigkeitserkennung?<\/h2>\n\n\n\n<p>Die Liveness-Erkennung ist ein KI-gest\u00fctztes Tool, das fortschrittliche Algorithmen nutzt, um Pr\u00e4sentationsangriffe von authentischen Benutzern zu unterscheiden, wie etwa gef\u00e4lschte Bilder oder Deepfakes. Es ist die prim\u00e4re Verteidigung gegen sich entwickelnde Angriffe.<\/p>\n\n\n\n<p>Diese L\u00f6sungen verarbeiten gro\u00dfe Datenmengen in Echtzeit, h\u00e4ufig mithilfe von 3D-Scans. Bei einem Gesichtsscan erstellt das System eine 3D-Gesichtskarte der Gesichtsz\u00fcge, die mit vorhandenen Daten verglichen werden kann. Die Lebenderkennung analysiert dann die Bewegungen und hilft dem Gesichtserkennungssystem, die Existenz einer lebenden Person zu best\u00e4tigen.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Wie Deepfakes die Gesichtserkennungstechnologie untergraben<\/h2>\n\n\n\n<p>W\u00e4hrend viele wissen, dass es in den Mainstream-Medien Deepfakes gibt, erkennen viele Organisationen nicht, wie realistisch diese werden. J\u00fcngste Daten zeigten, dass \u201emenschliche Probanden hochwertige Deepfake-Videos nur dann identifizierten,&nbsp;<a href=\"https:\/\/eftsure.com\/statistics\/deepfake-statistics\/#:~:text=Human%20detection%20of%20deepfake%20images,only%2024.5%25%20of%20the%20time.\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">24,51 TP5T<\/a>&nbsp;der Zeit.\u201c Ohne die richtigen Tools k\u00f6nnen Unternehmen Deepfakes nicht erkennen, was die dringende Notwendigkeit einer Echtheitserkennung beweist.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Wichtige Deepfake-Statistiken:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Nur Versuchspersonen konnten hochwertige Deepfake-Videos erkennen\u00a0<a href=\"https:\/\/eftsure.com\/statistics\/deepfake-statistics\/\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">24,51 TP5T<\/a>\u00a0der Zeit.<\/li>\n\n\n\n<li><a href=\"https:\/\/eftsure.com\/statistics\/deepfake-statistics\/\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">1 von 4<\/a> F\u00fchrungskr\u00e4fte sind sich der Deepfakes und der von ihnen ausgehenden Bedrohung nicht bewusst.<\/li>\n\n\n\n<li><a href=\"https:\/\/eftsure.com\/statistics\/deepfake-statistics\/\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">1 von 10<\/a> F\u00fchrungskr\u00e4fte waren bereits mit Sicherheitsbedrohungen durch Deepfakes konfrontiert.<\/li>\n\n\n\n<li>Im Jahr 2023 wird die Anzahl der Deepfakes in allen Branchen <a href=\"https:\/\/eftsure.com\/statistics\/deepfake-statistics\/\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">multipliziert mit 10<\/a>.\u00a0<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"577\" src=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/2-3-1024x577.png\" alt=\"\" class=\"wp-image-22196\" srcset=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/2-3-1024x577.png 1024w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/2-3-300x169.png 300w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/2-3-768x433.png 768w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/2-3-1536x866.png 1536w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/2-3-2048x1154.png 2048w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/2-3-18x10.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Der Markt nimmt die Liveness-Erkennung langsam an, da Unternehmen mit der Bedrohung durch Deepfake-Technologie konfrontiert sind. Bret Kinsella, CEO und Gr\u00fcnder von Voicebot.ai, argumentiert, dass die Deepfake-Erkennung derzeit zwar noch als Neuheit gilt, ihre Zeit als solche jedoch begrenzt ist. Anfang dieses Jahres erkl\u00e4rte Kinsella: \u201eObwohl die Deepfake-Erkennung f\u00fcr Unternehmen in ihren Callcentern heute im Wesentlichen eine Neuheit ist, wird sie weithin angenommen und im Laufe der Zeit zunehmend als Standard-Sicherheitshygiene angesehen werden.&nbsp;<a href=\"https:\/\/synthedia.substack.com\/p\/the-surprising-tactics-of-deepfakes\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">n\u00e4chsten f\u00fcnf Jahre<\/a>.\u201c<\/p>\n\n\n\n<p>Fast jeder kann mittlerweile Deepfakes mit zug\u00e4nglicher Software wie DeepFaceLab erstellen, mit dem \u00fcber\u00a0<a href=\"https:\/\/eftsure.com\/statistics\/deepfake-statistics\/\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">95% Deepfakes<\/a>Auf YouTube finden sich mittlerweile Videos, in denen die Erstellung von Deepfakes erkl\u00e4rt wird. Die ausf\u00fchrlichen Tutorials sind weltweit zug\u00e4nglich.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Biometrische Lebendigkeit im digitalen Zeitalter<\/h2>\n\n\n\n<p>Die Identit\u00e4ts\u00fcberpr\u00fcfung sollte f\u00fcr jede Online-Plattform eine Voraussetzung sein, aber f\u00fcr optimale Sicherheit kann eine standardm\u00e4\u00dfige Dokumentenpr\u00fcfung mit biometrischer Authentifizierung kombiniert werden. Ein biometrisches System kann eine Echtheitspr\u00fcfung durchf\u00fchren und mithilfe eines Gesichtsscans sicherstellen, dass die Identit\u00e4t von einem echten Menschen pr\u00e4sentiert wird. Biometrische Merkmale werden analysiert, wobei eine aktive Echtheitspr\u00fcfung die Benutzer dazu auffordert, eine Bewegungsanalyse durchzuf\u00fchren. Die biometrische Echtheitserkennung ist f\u00fcr die Betrugspr\u00e4vention bei Onboarding-Prozessen von entscheidender Bedeutung.&nbsp;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Ohne&nbsp;<a href=\"https:\/\/www.biometricupdate.com\/202409\/outdated-biometric-liveness-tests-create-false-sense-of-security-facetec-argues\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">Lebenderkennung<\/a>, und insbesondere bei 3D-Liveness, funktionieren Technologien zur Erkennung von Pr\u00e4sentationsangriffen (PAD) m\u00f6glicherweise nicht wie angek\u00fcndigt.<\/p>\n<\/blockquote>\n\n\n\n<p>Biometric Update, eine f\u00fchrende Branchennachrichtenplattform mit Schwerpunkt auf biometrischer Technologie und digitaler Identit\u00e4t, erkl\u00e4rt: \u201eBiometrie ersetzt die herk\u00f6mmliche wissensbasierte Authentifizierung f\u00fcr Remote- und unbeaufsichtigte Authentifizierungsszenarien. Der neueste Liveness-Erkennungsbericht von FaceTec argumentiert jedoch, dass ohne <a href=\"https:\/\/www.biometricupdate.com\/202409\/outdated-biometric-liveness-tests-create-false-sense-of-security-facetec-argues\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">Lebenderkennung<\/a>, und insbesondere bei der 3D-Liveness, funktionieren Technologien zur Erkennung von Pr\u00e4sentationsangriffen (PAD) m\u00f6glicherweise nicht wie angek\u00fcndigt.\u201c<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Herk\u00f6mmliche Gesichtserkennungssysteme erkennen nicht&nbsp;<a href=\"https:\/\/www.forbes.com\/councils\/forbesbusinesscouncil\/2024\/02\/09\/a-guide-to-liveness-detection-enhancing-facial-recognition-security\/\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\">Spoof-Angriffe<\/a>, darunter hochwertige 3D-Silikonmasken oder Deep Fakes.<\/p>\n<\/blockquote>\n\n\n\n<p>Die Echtheitserkennung ist von entscheidender Bedeutung, da Systeme ohne die Analyse einer biometrischen Probe keine Anzeichen von Betrug erkennen k\u00f6nnen. Algorithmen zur Echtheitserkennung erh\u00f6hen die Sicherheit und verhindern wirksam, dass Betr\u00fcger vorgehen. Pr\u00fcfungen mit Benutzerinteraktion (aktive Echtheitserkennung) bieten ein H\u00f6chstma\u00df an Sicherheit.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Aktive Lebenderkennungstechnologie<\/h2>\n\n\n\n<p>Bei der aktiven Lebenderkennung werden Benutzeraktionen in Echtzeit angefordert. Benutzer werden durch die Anweisungen gef\u00fchrt und m\u00fcssen h\u00e4ufig Bewegungen wie Blinzeln, L\u00e4cheln, Kopfdrehen oder Nicken ausf\u00fchren.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"577\" src=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/3-2-1024x577.png\" alt=\"biometrische Lebenderkennung\" class=\"wp-image-22197\" srcset=\"https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/3-2-1024x577.png 1024w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/3-2-300x169.png 300w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/3-2-768x433.png 768w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/3-2-1536x866.png 1536w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/3-2-2048x1154.png 2048w, https:\/\/www.complycube.com\/wp-content\/uploads\/2024\/09\/3-2-18x10.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Durch Echtzeit-Feedback kann das Technologiesystem zur Erkennung von Lebendigkeit Gesichtsz\u00fcge und Verhaltensnuancen untersuchen und subtile nat\u00fcrliche Ausdr\u00fccke verfolgen. Dazu k\u00f6nnen Muskelbewegungen oder leichte Kopfbewegungen geh\u00f6ren. Auch hier sind Mikroausdr\u00fccke bei einem Betrugsversuch sehr schwer zu reproduzieren.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Passive Lebenderkennungstechnologie<\/h2>\n\n\n\n<p>Bei passiven biometrischen Pr\u00fcfungen muss der Benutzer keine Echtzeitaktionen ausf\u00fchren, da Bewegungen nicht analysiert werden. KI-gest\u00fctzte Software f\u00fcr maschinelles Lernen f\u00fchrt Pr\u00fcfungen schnell und mit minimaler Benutzerinteraktion durch. Da Benutzer und potenzielle Betr\u00fcger nicht wissen, dass eine Identit\u00e4ts\u00fcberpr\u00fcfung stattfindet, ist die Pr\u00fcfung f\u00e4lschungssicherer.<\/p>\n\n\n\n<p>Im Gegensatz zur aktiven Liveness ist die passive Liveness viel schneller und bietet ein reibungsloseres Erlebnis, da Benutzer nicht mehrere Aktionen vor der Kamera ausf\u00fchren m\u00fcssen. Beide Liveness-Pr\u00fcfungen sind \u00e4u\u00dferst effektiv, um Unternehmen bei der Erkennung und Verhinderung von Betrug zu unterst\u00fctzen.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Biometrische Lebenderkennung mit ComplyCube<\/h2>\n\n\n\n<p>ComplyCube bietet eine hochmoderne biometrische Pr\u00fcfung, die Technologie zur Echtheitserkennung nutzt. Die L\u00f6sung analysiert biometrische Gesichtsdatenproben und pr\u00fcft in Verbindung damit die G\u00fcltigkeit der Dokumentation. Einige der Funktionen ihrer L\u00f6sungen umfassen:<\/p>\n\n\n\n<p><a href=\"https:\/\/www.complycube.com\/de\/losungen\/identitatssicherung\/biometrische-verifizierung\/\"><strong>Robuste Gesichtserkennung und \u00c4hnlichkeit<\/strong><\/a><strong>:&nbsp;<\/strong>Die fortschrittliche, nach ISO 30107-3 und PAD Level 2 zertifizierte biometrische Echtheitserkennungstechnologie von ComplyCube stellt sicher, dass die Person, die ein Ausweisdokument vorlegt, mit den \u00fcbermittelten Angaben \u00fcbereinstimmt. Ihre Identit\u00e4ts\u00fcberpr\u00fcfungstechnologie (IDV) bietet eine gr\u00fcndliche Analyse durch die Kombination biometrischer und verhaltensbezogener Faktoren und bietet so ein H\u00f6chstma\u00df an Verifizierungssicherheit.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.complycube.com\/de\/losungen\/identitatssicherung\/dokumentenuberprufung\/\"><strong>Erweiterte Dokumenten\u00fcberpr\u00fcfung<\/strong><\/a><strong>:&nbsp;<\/strong>ComplyCube kombiniert KI mit erfahrenen Experten, um Ausweisdokumente gr\u00fcndlich zu pr\u00fcfen und sicherzustellen, dass sie nicht manipuliert, gef\u00e4lscht, aus dem Internet kopiert, abgelaufen oder auf der schwarzen Liste stehen. Zu den unterst\u00fctzten Dokumenten geh\u00f6ren P\u00e4sse, Reisedokumente, F\u00fchrerscheine, Personalausweise, Aufenthaltsgenehmigungen und Visastempel.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.complycube.com\/de\/losungen\/einhaltung-der-sorgfaltspflicht\/kennen-sie-ihren-kunden\/lebenderkennung\/\"><strong>Professionelle Lebendigkeitserkennung<\/strong><\/a><strong>:&nbsp;<\/strong>Ihre KI-gest\u00fctzte PAD-Level-2-Software zur Liveness-Erkennung kann die tats\u00e4chliche Anwesenheit von Kunden feststellen und Betr\u00fcger identifizieren. ComplyCube nutzt eine Anti-Spoofing-Erkennung, die Unternehmen vor ausgekl\u00fcgelten Angriffen sch\u00fctzt.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.complycube.com\/de\/losungen\/identitatssicherung\/kundenauthentifizierung\/\"><strong>Nahtlose biometrische Erfassung<\/strong><\/a><strong>:&nbsp;<\/strong>Eine gef\u00fchrte Gesichtserfassungstechnologie der Spitzenklasse, die eine nahtlose Authentifizierung f\u00fcr den Zugriff auf Finanz-, Telekommunikations-, Reise- und Unternehmensdienstleistungen usw. gew\u00e4hrleistet.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/images.surferseo.art\/97043e8d-0681-4b5a-be11-3ee3f3343bd4.png\" alt=\"Biometrische Lebenderkennung zur Identit\u00e4ts\u00fcberpr\u00fcfung\"\/><\/figure>\n\n\n\n<p>Kontaktieren Sie deren <a href=\"https:\/\/www.complycube.com\/de\/kontakt\/verkauf-kontaktieren\/\" title=\"\">Expertenteam f\u00fcr Compliance<\/a> Melden Sie sich noch heute an und sch\u00fctzen Sie Ihr Unternehmen vor Identit\u00e4tsbetrug.<\/p>","protected":false},"excerpt":{"rendered":"<p>Deepfake-Technologien untergraben Gesichtsauthentifizierungsprozesse. Da Betrug immer raffinierter wird, m\u00fcssen sich Unternehmen mit biometrischer Echtheitserkennung sch\u00fctzen, um Pr\u00e4sentationsangriffe schnell zu erkennen. ...<\/p>","protected":false},"author":24,"featured_media":22195,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[6],"tags":[53],"class_list":["post-22185","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-guides","tag-identity-verification"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.5.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"Deepfake technologies are subverting facial authentication processes. 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