The Experts below are selected from a list of 35775 Experts worldwide ranked by ideXlab platform

Birgit Pfitzmann - One of the best experts on this subject based on the ideXlab platform.

Michael Backes - One of the best experts on this subject based on the ideXlab platform.

Susanne Wetzel - One of the best experts on this subject based on the ideXlab platform.

  • Cryptographic Key generation from voice
    IEEE Symposium on Security and Privacy, 2001
    Co-Authors: Fabian Monrose, Michael K Reiter, Susanne Wetzel
    Abstract:

    We propose a technique to reliably generate a Cryptographic Key from a user's voice while speaking a password. The Key resists cryptanalysis even against an attacker who captures all system information related to generating or verifying the Cryptographic Key. Moreover, the technique is sufficiently robust to enable the user to reliably regenerate the Key by uttering her password again. We describe an empirical evaluation of this technique using 250 utterances recorded from 50 users.

  • Cryptographic Key Generation from Voice (Extended Abstract)
    2001
    Co-Authors: Fabian Monrose, Michael K Reiter, Susanne Wetzel
    Abstract:

    We propose a technique to reliably generate a Cryptographic Key from a user’s voice while speaking a password. The Key resists cryptanalysis even against an attacker who captures all system information related to generating or verifying the Cryptographic Key. Moreover, the technique is sufficiently robust to enable the user to reliably regenerate the Key by uttering her password again. We describe an empirical evaluation of this technique using utterances recorded from users.

  • IEEE Symposium on Security and Privacy - Cryptographic Key generation from voice
    Proceedings 2001 IEEE Symposium on Security and Privacy. S&P 2001, 1
    Co-Authors: Fabian Monrose, Michael K Reiter, Susanne Wetzel
    Abstract:

    We propose a technique to reliably generate a Cryptographic Key from a user's voice while speaking a password. The Key resists cryptanalysis even against an attacker who captures all system information related to generating or verifying the Cryptographic Key. Moreover, the technique is sufficiently robust to enable the user to reliably regenerate the Key by uttering her password again. We describe an empirical evaluation of this technique using 250 utterances recorded from 50 users.

Jouni Isoaho - One of the best experts on this subject based on the ideXlab platform.

  • low latency approach for secure ecg feature based Cryptographic Key generation
    IEEE Access, 2018
    Co-Authors: Sanaz Rahimi Moosavi, Ethiopia Nigussie, Seppo Virtanen, Marco Levorato, Jouni Isoaho
    Abstract:

    We propose a low-latency approach for generating secure electrocardiogram (ECG) feature-based Cryptographic Keys. This is done by taking advantage of the uniqueness and randomness properties of ECG’s main features. This approach achieves a low-latency since the Key generation relies on four reference-free ECG’s main features that can be acquired in short time. We call the approach several ECG features (SEF)-based Cryptographic Key generation. SEF consists of: 1) detecting the arrival time of ECG’s fiducial points using Daubechies wavelet transform to compute ECG’s main features accordingly; 2) using a dynamic technique to specify the optimum number of bits that can be extracted from each main ECG feature, comprising of PR, RR, PP, QT, and ST intervals; 3) generating Cryptographic Keys by exploiting the above-mentioned ECG features; and 4) consolidating and strengthening the SEF approach with Cryptographically secure pseudo-random number generators. Fibonacci linear feedback shift register and advanced encryption standard algorithms are implemented as the pseudo-random number generator to enhance the security level of the generated Cryptographic Keys. Our approach is applied to 239 subjects’ ECG signals comprising of normal sinus rhythm, arrhythmia, atrial fibrillation, and myocardial infraction. The security analyses of the proposed approach are carried out in terms of distinctiveness, test of randomness, temporal variance, and using National Institute of Standards and Technology benchmark. The analyses reveal that the normal ECG rhythms have slightly better randomness compared with the abnormal ones. The analyses also show that the strengthened SEF Key generation approach provides a higher security level in comparison to existing approaches that rely only on singleton ECG features. For the normal ECG rhythms, the SEF approach has in average the entropy of about 0.98 while Cryptographic Keys which are generated utilizing the strengthened SEF approach offer the entropy of ~1. The execution time required to generate the Cryptographic Keys on different processors is also examined. The results reveal that our SEF approach is in average 1.8 times faster than existing Key generation approaches which only utilize the inter pulse interval feature of ECG.

  • CCNC - Cryptographic Key generation using ECG signal
    2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2017
    Co-Authors: Sanaz Rahimi Moosavi, Ethiopia Nigussie, Seppo Virtanen, Jouni Isoaho
    Abstract:

    In this paper, two different electrocardiogram (ECG) based Cryptographic Key generation approaches are proposed. The aim is to enhance the security of body area networks through robust Key generation where Keys are generated on the fly without requiring Key pre-distribution solutions. The Interpulse Interval (IPI) feature of ECG underlays both of the proposed approaches. The first approach is realized by using a pseudo-random number and consecutive IPI sequences. The second approach is realized by utilizing the Advanced Encryption Standard (AES) algorithm and IPI as the seed generator for the AES algorithm. The efficiency of the proposed approaches is evaluated using real ECG data of 15 patients obtained from the MIT-BIH Arrhythmia dataset of PhysioBank. The security analyses of the generated Keys are carried out in terms of distinctiveness, randomness, and temporal variance as well as using the NIST benchmark. The analyses show that our Key generation approaches provide a higher security level in comparison to existing approaches relying only on singleton IPI sequences. The execution times required to generate the Cryptographic Keys on different processors are also examined. The results reveal that the security level improvement comes with a reasonable increase in Key generation execution time. Comparing to existing IPI-based approaches, our approaches require 12.3% and 41.2% more execution time, respectively.

Chien-ding Lee - One of the best experts on this subject based on the ideXlab platform.

  • A Cryptographic Key Management Solution for HIPAA Privacy/Security Regulations
    IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, 2008
    Co-Authors: Wei-bin Lee, Chien-ding Lee
    Abstract:

    The Health Insurance Portability and Accountability Act (HIPAA) privacy and security regulations are two crucial provisions in the protection of healthcare privacy. Privacy regulations create a principle to assure that patients have more control over their health information and set limits on the use and disclosure of health information. The security regulations stipulate the provisions implemented to guard data integrity, confidentiality, and availability. Undoubtedly, the Cryptographic mechanisms are well defined to provide suitable solutions. In this paper, to comply with the HIPAA regulations, a flexible Cryptographic Key management solution is proposed to facilitate interoperations among the applied Cryptographic mechanisms. In addition, case of consent exceptions intended to facilitate emergency applications and other possible exceptions can also be handled easily.

  • a Cryptographic Key management solution for hipaa privacy security regulations
    International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
    Co-Authors: Wei-bin Lee, Chien-ding Lee
    Abstract:

    The Health Insurance Portability and Accountability Act (HIPAA) privacy and security regulations are two crucial provisions in the protection of healthcare privacy. Privacy regulations create a principle to assure that patients have more control over their health information and set limits on the use and disclosure of health information. The security regulations stipulate the provisions implemented to guard data integrity, confidentiality, and availability. Undoubtedly, the Cryptographic mechanisms are well defined to provide suitable solutions. In this paper, to comply with the HIPAA regulations, a flexible Cryptographic Key management solution is proposed to facilitate interoperations among the applied Cryptographic mechanisms. In addition, case of consent exceptions intended to facilitate emergency applications and other possible exceptions can also be handled easily.