{"id":5156,"date":"2026-04-21T11:28:57","date_gmt":"2026-04-21T11:28:57","guid":{"rendered":"https:\/\/cognitionconferences.com\/cybersecurity\/?post_type=speaker&p=5156"},"modified":"2026-04-21T11:29:41","modified_gmt":"2026-04-21T11:29:41","slug":"aurore-j-kamssu","status":"publish","type":"speaker","link":"https:\/\/cognitionconferences.com\/cybersecurity\/speaker\/aurore-j-kamssu\/","title":{"rendered":"Aurore J. Kamssu"},"content":{"rendered":"

Abstract<\/strong><\/p>\n

In the evolving landscape of decentralized networks, traditional perimeter-based security and static credentialing have proven insufficient against sophisticated identity-based attacks. This paper proposes a Blockchain-Enabled Zero-Trust (BEZT) cybersecurity framework designed to provide continuous, context-aware security. The BEZT architecture uses Multi-Factor Adaptive Authentication (MFAA) by synthesizing three critical security layers: AI-driven Behavioral Biometrics, Geo-fencing, and Intelligent Access Control driven by Smart Contracts. The AI-driven Behavioral Biometrics component utilizes machine learning to analyze unique user behavioral patterns, such as typing rhythms and device interactions, enabling continuous user authentication. The Geo-fencing layer utilizes geolocation data to define secure access zones and dynamically assess risk based on user location, enabling adaptive access control. The Intelligent Access Control mechanism seamlessly combines authentication factors and adjusts the required strength based on real-time risk assessment. Unlike conventional systems, the proposed BEZT framework utilizes an AI engine to generate a real-time Dynamic Trust Score. This score is orchestrated via a private blockchain, ensuring tamper-proof access permissions that are automatically revoked if the user’s behavioral or spatial context deviates from baselines. The study addresses the following research questions: (1) how Blockchain-based Smart Contracts can be used to store and execute MFAA logic without compromising the privacy of a user’s biometric and location data; (2) the extent to which the inclusion of Geo-fencing reduces the success rate of remote credential-stuffing attacks in decentralized environments; and (3) whether User Behavioral Biometrics can provide a high enough “Confidence Interval” to allow for “passive authentication,” reducing digital fatigue while maintaining high security.<\/p>\n","protected":false},"featured_media":5152,"template":"","meta":{"_acf_changed":false},"schedule":[5],"speaker-category":[6],"class_list":["post-5156","speaker","type-speaker","status-publish","has-post-thumbnail","hentry","schedule-day-1","speaker-category-speakers"],"acf":[],"yoast_head":"\nAurore J. Kamssu | Tennessee State University | USA<\/title>\n<meta name=\"description\" content=\"Dr. Aurore J. Kamssu is a Professor at , specializing in the strategic intersection of Data Analytics and AI. Holding a Ph.D. in Management Information Systems, her research addresses critical challenges in the digital era, including Blockchain, Cybersecurity, FinTech ethics, health data privacy and AI-driven pedagogy. A widely published researcher, Dr. Kamssu advocates for a multidisciplinary approach that balances technical excellence with ethical leadership. Her work on adaptive authentication and data privacy has been featured in numerous peer-reviewed journals and international conferences, contributing significantly to the discourse on secure, ethical governance in an increasingly complex digital world.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cognitionconferences.com\/cybersecurity\/speaker\/aurore-j-kamssu\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Aurore J. Kamssu | Tennessee State University | USA\" \/>\n<meta property=\"og:description\" content=\"Dr. Aurore J. Kamssu is a Professor at , specializing in the strategic intersection of Data Analytics and AI. Holding a Ph.D. in Management Information Systems, her research addresses critical challenges in the digital era, including Blockchain, Cybersecurity, FinTech ethics, health data privacy and AI-driven pedagogy. A widely published researcher, Dr. Kamssu advocates for a multidisciplinary approach that balances technical excellence with ethical leadership. Her work on adaptive authentication and data privacy has been featured in numerous peer-reviewed journals and international conferences, contributing significantly to the discourse on secure, ethical governance in an increasingly complex digital world.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cognitionconferences.com\/cybersecurity\/speaker\/aurore-j-kamssu\/\" \/>\n<meta property=\"og:site_name\" content=\"Cognition Conferences\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-21T11:29:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cognitionconferences.com\/cybersecurity\/wp-content\/uploads\/2026\/04\/Kamssu-Aurore.png\" \/>\n\t<meta property=\"og:image:width\" content=\"631\" \/>\n\t<meta property=\"og:image:height\" content=\"590\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/cognitionconferences.com\\\/cybersecurity\\\/speaker\\\/aurore-j-kamssu\\\/\",\"url\":\"https:\\\/\\\/cognitionconferences.com\\\/cybersecurity\\\/speaker\\\/aurore-j-kamssu\\\/\",\"name\":\"Aurore J. 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