Πτυχίο Πληροφορικής Ε.Α.Π.
Μεταπτυχιακό Δίπλωμα Ειδίκευσης στη κατεύθυνση Διοίκηση Πληροφοριακών Συστημάτων (MIS) του τμήματος Μηχανικών Πληροφοριακών και Επικοινωνιακών Συστημάτων του Πανεπιστημίου Αιγαίου.
Διδακτορικό Δίπλωμα στην περιοχή της Πληροφοριακής Ιδιωτικότητας, Τμήμα Μηχανικών Πληροφοριακών και Επικοινωνιακών Συστημάτων, Πανεπιστήμιο Αιγαίου.
Μεταδιδακτορικός Ερευνητής στο Τμήμα Μηχανικών Πληροφοριακών και Επικοινωνιακών Συστημάτων του Πανεπιστημίου Αιγαίου,όπου συνεργάζεται ερευνητικά πρωτίστως με τον Καθηγητή Σπύρο Κοκολάκη.
Πιστοποιήσεις:
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Abstract
This study examines the relationship between user behavior and exposure to information about Privacy-Preserving Search Engines (PPSEs). The research explores whether exposure to positive, neutral, or negative information about privacy practices affects user behavior toward PPSEs. Results show an increase in PPSE awareness post-exposure but no substantial change in usage. Negative news impacts trust, while positive news enhances usability perception. These findings highlight the need for multifaceted strategies to address privacy concerns and promote PPSE adoption.
Abstract
Session authentication schemes establish the identity of the user only at the beginning of the session, so they are vulnerable to attacks that tamper with communications after the establishment of the authenticated session. Moreover, smartphones themselves are used as authentication means, especially in two-factor authentication schemes, which are often required by several services. Whether the smartphone is in the hands of the legitimate user constitutes a great concern, and correspondingly whether the legitimate user is the one who uses the services. In response to these concerns, Behavioral Biometrics (BB) Continuous Authentication (CA) technologies have been proposed on a large corpus of literature. This paper presents a research on the development and validation of a BBCA system (named BioPrivacy), that is based on the user’s keystroke dynamics, using a Multi-Layer Perceptron (MLP). Also, we introduce a new behavioral biometrics collection tool, and we propose a methodology for the selection of an appropriate set of behavioral biometrics. Our system achieved 97.18% Accuracy, 0.02% Equal Error Rate (EER), 97.2% True Acceptance Rate (TAR) and 0.02% False Acceptance Rate (FAR).
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or mass reproduced without the explicit permission of the copyright holder.
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or mass reproduced without the explicit permission of the copyright holder.
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or mass reproduced without the explicit permission of the copyright holder.