Examining the Current Status and Emerging Trends in Continuous Authentication Technologies through Citation Network Analysis

Jeong, Jongkil Jay; Zolotavkin, Yevhen; Doss, Robin

doi:10.1145/3533705

Cited by 10 publications

(5 citation statements)

References 96 publications

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“…The tokens are updated after each successful continuous authentication. Compared to static identity authentication that repeatedly resists quantum attacks for continuous identity verification, the proposed continuous identity authentication framework applies the token generated from initial authentication to the low consumption continuous authentication stage, ensuring the resistance to quantum attacks while reducing resource consumption 22–24 …”

Section: System Model and Protocol Designmentioning

confidence: 99%

Continuous identity authentication protocol against quantum attacks in satellite integrated smart grid

Huang,

Yang,

et al. 2024

Computational Intelligence

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To address the issue of low efficiency caused by the repeated use of quantum attack resistant static identity authentication methods in a satellite integrated smart grid, this paper proposes a quantum attack resistant continuous identity authentication protocol. First, in the initial authentication stage, in order to reduce computational complexity, the key encryption mechanism in the CRYSTALS‐Kyber algorithm was improved and combined with the NTRU message recovery digital signature scheme to construct a lattice based explicit AKE (Kyber NTRU. AKE), which achieved mutual authentication and negotiated shared tokens. Second, in the continuous authentication stage, incorporating quantum attack resistant tokens into the current algorithm to improve authentication efficiency. The formal analysis results indicate that compared to the weakly forward secure Kyber.AKE in the CRYSTALS‐Kyber algorithm, Kyber‐NTRU.AKE achieves complete forward secrecy, while the non‐formal analysis results demonstrate the security of the continuous authentication phase. Through theoretical analysis and efficiency comparison with Cyber.AKE, the analysis shows that the Cyber‐NTRU.AKE has higher computational and communication efficiency than Cyber.AKE.

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Section: System Model and Protocol Designmentioning

confidence: 99%

Continuous identity authentication protocol against quantum attacks in satellite integrated smart grid

Huang,

Yang,

et al. 2024

Computational Intelligence

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“…Recently, technical aspects of CAuthN have been subject to an emerging number of publications in research on information security systems [1,49,88]. While the specific implementation of such systems varies, particularly in terms of the biometric data and features used, the underlying principle is mostly the same and is split into two phases [49]: (1) In the enrollment phase, the CAu-thN system learns the legitimate state or behavior using biometric traits gathered from a user's interaction, e.g., by training a machine learning model. (2) After completing the training, CAuthN uses the trained model in the authentication phase to assess the biometric traits arising out of the current use of the service.…”

Section: Continuous Authentication Systemsmentioning

confidence: 99%

“…To address this shortcoming, recent developments in authentication mechanisms suggest that apps and online services themselves should continuously elicit and process hard-to-spoof biometric features throughout the entire session to ensure that the actual legitimate user is using the app or online service [3]. This mechanism is referred to as Continuous Authentication (CAuthN) [49]. It extends entry point authentication systems with continuous session authentication, promising improvements to security without invading the systems' usability due to additional authentication steps required by the users.…”

Section: Introductionmentioning

confidence: 99%

Internet Users' Willingness to Disclose Biometric Data for Continuous Online Account Protection: An Empirical Investigation

Dehling,

Tolsdorf,

Federrath

et al. 2024

PoPETs

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Continuous authentication has emerged as a promising approach to increase user account security for online services. Unlike traditional authentication methods, continuous authentication provides ongoing security throughout the session, protecting against session takeover attacks due to illegitimate access. The effectiveness of continuous authentication systems relies on the continuous processing of users' sensitive biometric data. To balance security and privacy trade-offs, it's crucial to understand when users are willing to disclose biometric data for enhanced account security, addressing inevitable privacy concerns and user acceptance. To address this knowledge gap, we conducted an online study with 830 participants from the U.S., aiming to investigate user perceptions towards continuous authentication across different classes of online services. Our analysis identified four groups of biometric traits that directly reflect users' willingness to disclose them. Our findings demonstrate that willingness to disclose is influenced by both the specific biometric traits and the type of online service involved. User perceptions are strongly shaped by factors such as response efficacy, perceived privacy risks associated with the biometric traits, and concerns about the service providers' handling of such data. Our results emphasize the inadequacy of one-size-fits-all solutions and provide valuable insights for the design and implementation of continuous authentication systems.

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“…Scholars quantified behavior information during human interactions with websites (Jeong et al, 2022) and then applied this as the fingerprint to discriminate the trustworthiness of the interactor's identity (Soltani et al, 2019). The current studies have looked at the behaviors of interactors visiting, browsing (Brown and Abramson, 2015), manipulating , and writing (Adeyemi et al, 2019) on the website.…”

Section: Prior Research On Discriminating the Trustworthiness Of Iden...mentioning

confidence: 99%

Developing virtual fingerprint: identifying trustworthy interaction behaviors of web users

Sangbong

et al. 2022

Preprint

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Trustworthy interaction refers to the interaction process between human and network information systems that is believable and credible. In recent years, network security events frequently happened caused by human-web interaction lacking trustworthiness, which brings about some security risks such as private information leakage, resource abuse, property or reputation loss, etc. It is a significant network security concern threatening people. The problem is typically approached from the viewpoint of identifying the trustworthiness of the credentials submitted by interactors. There are little few studies that have addressed it in terms of the trustworthiness of the interaction behavior by interactors. We propose that the interaction behavior pattern of interactors on the website is a virtual fingerprint (VF) to discriminate the trustworthiness of the identity based on relevant psychological and behavioral theories. Using 481,838 weblog data from a travel service website, we demonstrate the effectiveness of the proposed VF. First, the individual differences in interaction behavior of interactors on the website are characterized by numerical analysis and statistical inference. Then, 15 interaction behavior features are constructed from weblogs to create a VF, which can discriminate the trustworthiness of the identity by identifying the interaction behaviors of the interactors on the website. Of these, a machine learning algorithm (i.e., the eXtreme gradient boosting) is applied to build the identification model for interaction behaviors. The results show that the VF proposed in this study has better discrimination of trustworthiness compared to those approaches that use other kinds of behavior features. And, the eXtreme gradient boosting used performs more efficiently than the algorithm of Decision Tree and Random Forest. Specifically, the errors of discriminating both untrustworthy and trustworthy identities are as low as 0.19% and 3.30%, respectively. Also, the accuracy of identifying interaction behaviors is as good as 99.63%.

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Examining the Current Status and Emerging Trends in Continuous Authentication Technologies through Citation Network Analysis

Cited by 10 publications

References 96 publications

Continuous identity authentication protocol against quantum attacks in satellite integrated smart grid

Continuous identity authentication protocol against quantum attacks in satellite integrated smart grid

Internet Users' Willingness to Disclose Biometric Data for Continuous Online Account Protection: An Empirical Investigation

Developing virtual fingerprint: identifying trustworthy interaction behaviors of web users

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