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Related Experiment Video

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A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

Published on: November 24, 2016

A Password Meter without Password Exposure.

Pyung Kim¹, Younho Lee², Youn-Sik Hong¹

¹Advanced Software Research Center, Incheon National University, Incheon 22012, Korea.

Sensors (Basel, Switzerland)

|January 9, 2021

Summary

This summary is machine-generated.

This study introduces a novel online password meter using fully homomorphic encryption (FHE) to protect user password privacy. The new system evaluates password strength without revealing candidates to the server, enhancing security.

Keywords:

authentication computer security cryptography network security privacy

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Area of Science:

Computer Science
Cryptography
Information Security

Background:

Online password meters often require users to submit password candidates, risking exposure of sensitive information.
Third-party password metering services can exacerbate these privacy and security threats.
Existing password metering methods may not adequately protect user data from the metering service itself.

Purpose of the Study:

To develop a novel online password meter concept that evaluates user-chosen password candidates without exposing them to the server.
To address the privacy concerns associated with traditional password metering systems.
To explore the practical application of fully homomorphic encryption (FHE) in secure password strength evaluation.

Main Methods:

Adaptation of fully homomorphic encryption (FHE) schemes to create a privacy-preserving password meter.
Implementation of performance enhancement techniques to overcome FHE computational challenges.
Utilizing the NIST (National Institute of Standards and Technology) password metering method as a benchmark.

Main Results:

The proposed FHE-based password meter achieves a running time of approximately 60 seconds on a conventional desktop server.
The system employs an FHE scheme within the HElib library, supporting at least 80-bit security.
Experimental results validate the feasibility of using FHE for secure password metering, with potential for improved performance on higher-end hardware.

Conclusions:

The developed password meter effectively evaluates password strength while ensuring user password candidates remain confidential from the server.
This approach significantly enhances password secrecy, protecting against unauthorized access and disclosure.
The method offers a promising direction for password metering systems where utmost privacy is critical, safeguarding both user inputs and internal algorithms.