Reconciling user privacy and implicit authentication for mobile devices

Shahandashti, Siamak F.; Safa, Nashad Ahmed

doi:10.1016/j.cose.2015.05.009

Cited by 25 publications

(28 citation statements)

References 46 publications

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“…Thus, it allows the owner’s encrypted information to be outsourced without explicitly sharing it [ 104 , 105 , 106 ]. Some examples of works exploring this method are [ 78 , 107 , 108 , 109 ].…”

Section: Privacy-preserving Approachesmentioning

confidence: 99%

“…Finally, in [ 109 ], the authors use several features related to the interaction of the users with their devices (e.g., GPS, time charging battery, WiFi sessions duration) to construct a CA scheme based on homomorphic operations. The analysis performed ensures the protection of the data, even when the device behaves maliciously by using homomorphic encryption and order preserving encryption.…”

Section: Privacy-preserving Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review

Hernández–Álvarez

Fuentes

González-Manzano

et al. 2020

Sensors

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Ensuring the confidentiality of private data stored in our technological devices is a fundamental aspect for protecting our personal and professional information. Authentication procedures are among the main methods used to achieve this protection and, typically, are implemented only when accessing the device. Nevertheless, in many occasions it is necessary to carry out user authentication in a continuous manner to guarantee an allowed use of the device while protecting authentication data. In this work, we first review the state of the art of Continuous Authentication (CA), User Profiling (UP), and related biometric databases. Secondly, we summarize the privacy-preserving methods employed to protect the security of sensor-based data used to conduct user authentication, and some practical examples of their utilization. The analysis of the literature of these topics reveals the importance of sensor-based data to protect personal and professional information, as well as the need for exploring a combination of more biometric features with privacy-preserving approaches.

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Section: Privacy-preserving Approachesmentioning

confidence: 99%

Section: Privacy-preserving Approachesmentioning

confidence: 99%

Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review

Hernández–Álvarez

Fuentes

González-Manzano

et al. 2020

Sensors

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show abstract

“…Location privacy has been studied extensively in recent decades because of the pervasiveness of geo-location related software and mobile apps [96], [97], [98], [99], [100]. While location-aware applications track customers' location or other data online, they generate a huge amount of potentially sensitive data.…”

Section: 2015mentioning

confidence: 99%

Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives

et al. 2019

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Fast development of sharing services has become a crucial part of the cyber-enabled world construction process, as sharing services reinvent how people exchange and obtain goods or services. However, privacy leakage or disclosure remains as a key concern during the sharing service development process. While significant efforts have been undertaken to address various privacy issues in recent years, there is a surprising lack of review for privacy concerns in the cyber-enabled sharing world. To bridge the gap, in this study, we survey and evaluate existing and emerging privacy issues relating to sharing services from various perspectives. Differing from existing similar works on surveying sharing practices in various fields, our work comprehensively covers six branches of sharing services in the cyberenabled world, and selects solutions mostly from the recent five to six years. We conclude the issues and solutions from three perspectives, namely, from users', platforms' and service providers' perspectives. Hot topics and less discussed (cold) topics are identified, which provides hints to researchers for their future studies.

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“…There have been various research results in the literature for secure remote biometric verification [ 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 ]. In 2016, Cheon et al proposed a homomorphic encryption (HE)-based protocol to support encrypted Hamming distance computation required for iris recognition [ 40 ].…”

Section: Introductionmentioning

confidence: 99%

Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification

Jeon

Lee

2021

Sensors

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With the recent advances in mobile technologies, biometric verification is being adopted in many smart devices as a means for authenticating their owners. As biometric data leakage may cause stringent privacy issues, many proposals have been offered to guarantee the security of stored biometric data, i.e., biometric template. One of the most promising solutions is the use of a remote server that stores the template in an encrypted form and performs a biometric comparison on the ciphertext domain, using recently proposed functional encryption (FE) techniques. However, the drawback of this approach is that considerable computation is required for the inner-pairing product operation used for the decryption procedure of the underlying FE, which is performed in the authentication phase. In this paper, we propose an enhanced method to accelerate the inner-pairing product computation and apply it to expedite the decryption operation of FE and for faster remote biometric verification. The following two important observations are the basis for our improvement—one of the two arguments for the decryption operation does not frequently change over authentication sessions, and we only need to evaluate the product of multiple pairings, rather than individual pairings. From the results of our experiments, the proposed method reduces the time required to compute an inner-pairing product by 30.7%, compared to the previous best method. With this improvement, the time required for biometric verification is expected to decrease by up to 10.0%, compared to a naive method.

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Reconciling user privacy and implicit authentication for mobile devices

Cited by 25 publications

References 46 publications

Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review

Privacy-Preserving Sensor-Based Continuous Authentication and User Profiling: A Review

Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives

Acceleration of Inner-Pairing Product Operation for Secure Biometric Verification

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