TY  - JOUR
AU  - Maček, Nemanja
AU  - Adamović, Saša
AU  - Milosavljević, Milan
AU  - Jovanović, Miloš
AU  - Gnjatović, Milan
AU  - Trenkić, Branimir
PY  - 2019
UR  - http://jakov.kpu.edu.rs/handle/123456789/1517
AB  - This paper presents an approach to designing secure modular authentication
framework based on iris biometrics and its’ implementation into mobile banking scenario.
The system consists of multiple clients and an authentication server. Client, a smartphone
with accompanying application, is used to capture biometrics, manage auxiliary data and
create and store encrypted cancelable templates. Bank’s authentication server manages
encryption keys and provides the template verification service. Proposed system keeps
biometric templates encrypted or at least cancelable during all stages of storage,
transmission and verification. As templates are stored on clients in encrypted form and
decryption keys reside on bank's authentication server, original plaintext templates are
unavailable to an adversary if the phone gets lost or stolen. The system employs public key
cryptography and pseudorandom number generator on small-sized templates, thus not
suffering from severe computational costs like systems that employ homomorphic
encryption. System is also general, as it does do not depend on specific cryptographic
algorithms. Having in mind that modern smartphones have iris scanners or at least high-
quality front cameras, and that no severe computational drawbacks exist, one may
conclude that the proposed authentication framework is highly applicable in mobile
banking authentication.
PB  - Budapest : Óbuda University
T2  - Acta Polytechnica Hungarica
T1  - Mobile Banking Authentication Based on Cryptographically Secured Iris Biometrics
VL  - 16
IS  - 1
SP  - 45
EP  - 62
DO  - 10.12700/APH.16.1.2019.1.3
ER  - 

@article{
author = "Maček, Nemanja and Adamović, Saša and Milosavljević, Milan and Jovanović, Miloš and Gnjatović, Milan and Trenkić, Branimir",
year = "2019",
abstract = "This paper presents an approach to designing secure modular authentication
framework based on iris biometrics and its’ implementation into mobile banking scenario.
The system consists of multiple clients and an authentication server. Client, a smartphone
with accompanying application, is used to capture biometrics, manage auxiliary data and
create and store encrypted cancelable templates. Bank’s authentication server manages
encryption keys and provides the template verification service. Proposed system keeps
biometric templates encrypted or at least cancelable during all stages of storage,
transmission and verification. As templates are stored on clients in encrypted form and
decryption keys reside on bank's authentication server, original plaintext templates are
unavailable to an adversary if the phone gets lost or stolen. The system employs public key
cryptography and pseudorandom number generator on small-sized templates, thus not
suffering from severe computational costs like systems that employ homomorphic
encryption. System is also general, as it does do not depend on specific cryptographic
algorithms. Having in mind that modern smartphones have iris scanners or at least high-
quality front cameras, and that no severe computational drawbacks exist, one may
conclude that the proposed authentication framework is highly applicable in mobile
banking authentication.",
publisher = "Budapest : Óbuda University",
journal = "Acta Polytechnica Hungarica",
title = "Mobile Banking Authentication Based on Cryptographically Secured Iris Biometrics",
volume = "16",
number = "1",
pages = "45-62",
doi = "10.12700/APH.16.1.2019.1.3"
}

Maček, N., Adamović, S., Milosavljević, M., Jovanović, M., Gnjatović, M.,& Trenkić, B.. (2019). Mobile Banking Authentication Based on Cryptographically Secured Iris Biometrics. in Acta Polytechnica Hungarica
Budapest : Óbuda University., 16(1), 45-62.
https://doi.org/10.12700/APH.16.1.2019.1.3

Maček N, Adamović S, Milosavljević M, Jovanović M, Gnjatović M, Trenkić B. Mobile Banking Authentication Based on Cryptographically Secured Iris Biometrics. in Acta Polytechnica Hungarica. 2019;16(1):45-62.
doi:10.12700/APH.16.1.2019.1.3 .

Maček, Nemanja, Adamović, Saša, Milosavljević, Milan, Jovanović, Miloš, Gnjatović, Milan, Trenkić, Branimir, "Mobile Banking Authentication Based on Cryptographically Secured Iris Biometrics" in Acta Polytechnica Hungarica, 16, no. 1 (2019):45-62,
https://doi.org/10.12700/APH.16.1.2019.1.3 . .

TY  - JOUR
AU  - Mišković, Dragiša
AU  - Gnjatović, Milan
AU  - Štrbac, Perica
AU  - Trenkić, Branimir
AU  - Jakovljević, Nikša
AU  - Delić, Vlado
PY  - 2017
UR  - http://jakov.kpu.edu.rs/handle/123456789/1520
AB  - Although the importance of contextual information in speech recognition has been acknowledged for a long time now, it
has remained clearly underutilized even in state-of-the-art speech recognition systems. This article introduces a novel,
methodologically hybrid approach to the research question of context-dependent speech recognition in human–machine
interaction. To the extent that it is hybrid, the approach integrates aspects of both statistical and representational
paradigms. We extend the standard statistical pattern-matching approach with a cognitively inspired and analytically
tractable model with explanatory power. This methodological extension allows for accounting for contextual information
which is otherwise unavailable in speech recognition systems, and using it to improve post-processing of recognition
hypotheses. The article introduces an algorithm for evaluation of recognition hypotheses, illustrates it for concrete
interaction domains, and discusses its implementation within two prototype conversational agents.
PB  - London : SAGE Publications
T2  - International Journal of Advanced Robotic Systems
T1  - Hybrid methodological approach to context-dependent speech recognition
VL  - 14
IS  - 1
DO  - 10.1177/1729881416687131
ER  - 

@article{
author = "Mišković, Dragiša and Gnjatović, Milan and Štrbac, Perica and Trenkić, Branimir and Jakovljević, Nikša and Delić, Vlado",
year = "2017",
abstract = "Although the importance of contextual information in speech recognition has been acknowledged for a long time now, it
has remained clearly underutilized even in state-of-the-art speech recognition systems. This article introduces a novel,
methodologically hybrid approach to the research question of context-dependent speech recognition in human–machine
interaction. To the extent that it is hybrid, the approach integrates aspects of both statistical and representational
paradigms. We extend the standard statistical pattern-matching approach with a cognitively inspired and analytically
tractable model with explanatory power. This methodological extension allows for accounting for contextual information
which is otherwise unavailable in speech recognition systems, and using it to improve post-processing of recognition
hypotheses. The article introduces an algorithm for evaluation of recognition hypotheses, illustrates it for concrete
interaction domains, and discusses its implementation within two prototype conversational agents.",
publisher = "London : SAGE Publications",
journal = "International Journal of Advanced Robotic Systems",
title = "Hybrid methodological approach to context-dependent speech recognition",
volume = "14",
number = "1",
doi = "10.1177/1729881416687131"
}

Mišković, D., Gnjatović, M., Štrbac, P., Trenkić, B., Jakovljević, N.,& Delić, V.. (2017). Hybrid methodological approach to context-dependent speech recognition. in International Journal of Advanced Robotic Systems
London : SAGE Publications., 14(1).
https://doi.org/10.1177/1729881416687131

Mišković D, Gnjatović M, Štrbac P, Trenkić B, Jakovljević N, Delić V. Hybrid methodological approach to context-dependent speech recognition. in International Journal of Advanced Robotic Systems. 2017;14(1).
doi:10.1177/1729881416687131 .

Mišković, Dragiša, Gnjatović, Milan, Štrbac, Perica, Trenkić, Branimir, Jakovljević, Nikša, Delić, Vlado, "Hybrid methodological approach to context-dependent speech recognition" in International Journal of Advanced Robotic Systems, 14, no. 1 (2017),
https://doi.org/10.1177/1729881416687131 . .