Biological One-Way Functions for Secure Key Generation

Akhil Dodda, Akshay Wali, Yang Wu, Andrew Pannone, Likhith Kumar Reddy, Arnab Raha, Sahin Kaya Ozdemir, Ibrahim Tarik Ozbolat, Saptarshi Das

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article number1800154
JournalAdvanced Theory and Simulations
Volume2
Issue number2
DOIs
StatePublished - Feb 1 2019

All Science Journal Classification (ASJC) codes

  • General
  • Modeling and Simulation
  • Numerical Analysis
  • Statistics and Probability

Fingerprint Dive into the research topics of 'Biological One-Way Functions for Secure Key Generation'. Together they form a unique fingerprint.

  • Cite this