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2021-05-03
Zalasiński, Marcin, Cpałka, Krzysztof, Łapa, Krystian.  2020.  An interpretable fuzzy system in the on-line signature scalable verification. 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). :1–9.
This paper proposes new original solutions for the use of interpretable flexible fuzzy systems for identity verification based on an on-line signature. Such solutions must be scalable because the verification of the identity of each user must be carried out independently of one another. In addition, a large number of system users limit the possibilities of iterative system learning. An important issue is the ability to interpret the system rules because it explains how the similarity of test signatures to reference signature templates is assessed. In this paper, we propose an approach that meets all of the above requirements and works effectively for the on-line signatures' database used in the simulations.
2020-09-11
Kansuwan, Thivanon, Chomsiri, Thawatchai.  2019.  Authentication Model using the Bundled CAPTCHA OTP Instead of Traditional Password. 2019 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT-NCON). :5—8.
In this research, we present identity verification using the “Bundled CAPTCHA OTP” instead of using the traditional password. This includes a combination of CAPTCHA and One Time Password (OTP) to reduce processing steps. Moreover, a user does not have to remember any password. The Bundled CAPTCHA OTP which is the unique random parameter for any login will be used instead of a traditional password. We use an e-mail as the way to receive client-side the Bundled CAPTCHA OTP because it is easier to apply without any problems compare to using mobile phones. Since mobile phones may be crashing, lost, change frequently, and easier violent access than e-mail. In this paper, we present a processing model of the proposed system and discuss advantages and disadvantages of the model.
2018-07-18
Yin, Delina Beh Mei, Omar, Shariman, Talip, Bazilah A., Muklas, Amalia, Norain, Nur Afiqah Mohd, Othman, Abu Talib.  2017.  Fusion of Face Recognition and Facial Expression Detection for Authentication: A Proposed Model. Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication. :21:1–21:8.

The paper presents a novel model of hybrid biometric-based authentication. Currently, the recognition accuracy of a single biometric verification system is often much reduced due to many factors such as the environment, user mode and physiological defects of an individual. Apparently, the enrolment of static biometric is highly vulnerable to impersonation attack. Due to the fact of single biometric authentication only offers one factor of verification, we proposed to hybrid two biometric attributes that consist of physiological and behavioural trait. In this study, we utilise the static and dynamic features of a human face. In order to extract the important features from a face, the primary steps taken are image pre-processing and face detection. Apparently, to distinguish between a genuine user or an imposter, the first authentication is to verify the user's identity through face recognition. Solely depending on a single modal biometric is possible to lead to false acceptance when two or more similar face features may result in a relatively high match score. However, it is found the False Acceptance Rate is 0.55% whereas the False Rejection Rate is 7%. By reason of the security discrepancies in the mentioned condition, therefore we proposed a fusion method whereby a genuine user will select a facial expression from the seven universal expression (i.e. happy, sad, anger, disgust, surprise, fear and neutral) as enrolled earlier in the database. For the proof of concept, it is proven in our results that even there are two or more users coincidently have the same face features, the selected facial expression will act as a password to be prominently distinguished a genuine or impostor user.

2015-05-06
Slomovic, A..  2014.  Privacy Issues in Identity Verification. Security Privacy, IEEE. 12:71-73.

Identity verification plays an important role in creating trust in the economic system. It can, and should, be done in a way that doesn't decrease individual privacy.

2015-05-04
Shin-Ming Cheng, Cheng-Han Ho, Shannon Chen, Shih-Hao Chang.  2014.  Distributed anonymous authentication in heterogeneous networks. Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International. :505-510.

Nowadays, the design of a secure access authentication protocol in heterogeneous networks achieving seamless roaming across radio access technologies for mobile users (MUs) is a major technical challenge. This paper proposes a Distributed Anonymous Authentication (DAA) protocol to resolve the problems of heavy signaling overheads and long signaling delay when authentication is executed in a centralized manner. By applying MUs and point of attachments (PoAs) as group members, the adopted group signature algorithms provide identity verification directly without sharing secrets in advance, which significantly reduces signaling overheads. Moreover, MUs sign messages on behalf of the group, so that anonymity and unlinkability against PoAs are provided and thus privacy is preserved. Performance analysis confirm the advantages of DAA over existing solutions.