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Cryptographic Key Generation Based On the Ambient Audio


Affiliations
1 Sri Muthukumaran Institute of Technology, Chennai, TN, India
2 Anna University, India
     

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The mainstay of this project is to establish a secure communication channel among devices based on recording of similar audio patterns, that make use of the audio fingerprint entropy. Features from the recorded ambient audio are used to generate a public cryptographic key between devices without exchanging any kind of information about the ambient audio itself or the features utilized for the key generation process. Exploring a common audio fingerprinting approach and encountering for the noise in the derived fingerprints are corrected employing Error Correcting Codes. This is a mechanism to unobtrusively establish an ad hoc secure communication channel between unacquainted devices which is conditioned on the surrounding context. Considering the audio as a source of spatially centered context, the similarity of features from ambient audio by devices in proximity to create a secure communication channel exclusively based on these feature. The method used is noninteractive, unobtrusive, and does not require specific or identical hardware at communication partners. The adaptation of a specific value for the tolerated noise among fingerprints based on environmental conditions using fuzzy-cryptography scheme.

Keywords

Data Encryption, Location-Dependent and Sensitive, Pervasive Computing, Random Number Generation, Signal Analysis, Synthesis and Processing, Signal Processing.
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  • Cryptographic Key Generation Based On the Ambient Audio

Abstract Views: 210  |  PDF Views: 3

Authors

J. Keerthiga
Sri Muthukumaran Institute of Technology, Chennai, TN, India
S. Dhanalakshmi
Anna University, India

Abstract


The mainstay of this project is to establish a secure communication channel among devices based on recording of similar audio patterns, that make use of the audio fingerprint entropy. Features from the recorded ambient audio are used to generate a public cryptographic key between devices without exchanging any kind of information about the ambient audio itself or the features utilized for the key generation process. Exploring a common audio fingerprinting approach and encountering for the noise in the derived fingerprints are corrected employing Error Correcting Codes. This is a mechanism to unobtrusively establish an ad hoc secure communication channel between unacquainted devices which is conditioned on the surrounding context. Considering the audio as a source of spatially centered context, the similarity of features from ambient audio by devices in proximity to create a secure communication channel exclusively based on these feature. The method used is noninteractive, unobtrusive, and does not require specific or identical hardware at communication partners. The adaptation of a specific value for the tolerated noise among fingerprints based on environmental conditions using fuzzy-cryptography scheme.

Keywords


Data Encryption, Location-Dependent and Sensitive, Pervasive Computing, Random Number Generation, Signal Analysis, Synthesis and Processing, Signal Processing.