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Biological One‐Way Functions for Secure Key Generation
Author(s) -
Dodda Akhil,
Wali Akshay,
Wu Yang,
Pan Andrew,
Reddy Likhith Kumar,
Raha Arnab,
Ozdemir Sahin Kaya,
Ozbolat Ibrahim Tarik,
Das Saptarshi
Publication year - 2019
Publication title -
advanced theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.068
H-Index - 17
ISSN - 2513-0390
DOI - 10.1002/adts.201800154
Subject(s) - decipher , computer science , key (lock) , key generation , cryptography , theoretical computer science , adversary , entropy (arrow of time) , premise , random number generation , computer security , biology , bioinformatics , physics , linguistics , philosophy , quantum mechanics
Abstract Disorder is fundamental to nature and natural phenomena, providing countless information sources, which are astronomically difficult to duplicate, but have yet to be exploited for cryptographic applications. While the contemporary crypto systems, relying on the premise of abstract mathematical one‐way functions, are relatively difficult to decipher with reasonable and/or finite resources, the situation is bound to change with the advent of quantum computers, necessitating physically unclonable entropy sources. As such, inspiration is drawn from the disorder that is prevalent in nature and inherent to biological systems for designing disruptive mechanisms for cryptographic key generation. It is demonstrated that the spatiotemporal dynamics of an ensemble of living organisms such as T cells can be used for maximum entropy, high‐density, and high‐speed key generation. Further, such biology based one‐way functions are oblivious to any mathematical representations and are computationally expensive to decipher even if an adversary has an exhaustive knowledge of the key generation mechanisms, which include cell type, cell density, key sampling rate, and sampling instance. The introduction of such biological one‐way functions can greatly enhance the ability to protect information in the post quantum era.