Ερευνητικό Προσωπικό
Σκάλκος Ανδρέας
Προσωπικά Στοιχεία
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Επιστημονικά Συνέδρια
A. Skalkos, S. Kokolakis, Modification of User Behavior Towards the Use of Privacy-Preserving Search Engines: Insights from an Experiment on Privacy., EMCIS '24, Themistocleous, M., Bakas, N., Kokosalakis, G., Papadaki, M. , (eds), pp. 295–312, Feb, 2025, Athens, Greece, Springer, https://link.springer.com/chapter/10.100...
Περίληψη:
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.
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.
Ioannis Stylios, A. Skalkos, S. Kokolakis, M. Karyda, BioPrivacy: Development of a Keystroke Dynamics Continuous Authentication System, ESORICS 2021 International Workshops. ESORICS 2021, Katsikas S. et al., pp. pp 158-170, Oct, 2021, Darmstadt, Germany, Springer, https://link.springer.com/chapter/10.100...
Περίληψη:
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).
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).
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A. Skalkos, A. Tsohou, M. Karyda, S. Kokolakis, INVESTIGATING THE VALUES THAT DRIVE THE ADOPTION OF ANONYMITY TOOLS: A LADDERING APPROACH, 11th Mediterranean Conference on Information Systems (MCIS 2017) , Sep, 2017, The 11th Mediterranean Conference on Information Systems Genoa,Italy, AIS Electronic Library (AISeL)