2018
DOI: 10.1002/adts.201800154
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Biological One‐Way Functions for Secure Key Generation

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.… Show more

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Cited by 11 publications
(12 citation statements)
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“…Historically, an optical PUF was first demonstrated by using speckle patterns from aggregated microparticles long before the term PUF was coined . Several advanced nanomaterial-based PUFs have recently been proposed, including nanoelectronics and photonics approaches in addition to conventional electronic PUFs. In particular, numerous non-silicon materials have received considerable attention, including carbon nanotubes (CNT), two-dimensional transition metal dichalcogenides (TMDs), plasmonic nanomaterials, lanthanide-doped nanoparticles, ,, nano-electromechanical materials, random lasing materials, , and biomaterials. …”
Section: Introductionmentioning
confidence: 99%
“…Historically, an optical PUF was first demonstrated by using speckle patterns from aggregated microparticles long before the term PUF was coined . Several advanced nanomaterial-based PUFs have recently been proposed, including nanoelectronics and photonics approaches in addition to conventional electronic PUFs. In particular, numerous non-silicon materials have received considerable attention, including carbon nanotubes (CNT), two-dimensional transition metal dichalcogenides (TMDs), plasmonic nanomaterials, lanthanide-doped nanoparticles, ,, nano-electromechanical materials, random lasing materials, , and biomaterials. …”
Section: Introductionmentioning
confidence: 99%
“…Other approaches like oxide breakdown induced current fluctuations, random telegraph noise, and numerous spatiotemporal phenomena at the deep-micrometer and nanometer scale have also been used as high entropy sources. Although sufficiently random, most state-of-the-art TRNGs often require postprocessing steps such as von Neumann correction to remove any residual biases. Recently, diffusive memristor-based TRNGs were proposed that required no additional postprocessing steps while providing attractive properties such as low power consumption. Nanoscale materials and devices have also been explored as postsilicon alternatives for generating true random numbers (TRNs). In addition, several optical, quantum, and biological TRNGs have been proposed. While these developments are impressive, vulnerability of TRNGs to machine learning (ML) attacks is relatively less studied.…”
mentioning
confidence: 99%
“…Much of the technological progress in PUFs over the last 15 plus years has come in complementary metal oxide semiconductor (CMOS) micro-and nanoelectronics [13][14][15][16][17]. However, interest in developing PUFs for hardware and information security applications has recently rapidly expanded to almost all areas of physical science including investigations based on chemical methods [18], quantum tunneling [19], disordered nanomaterials [20][21][22], magnetic media [23], and even biological species [24]. Attractively, the immense information capacity and rich physics of photonic systems offer the prospect of both passive and active security devices operating in classical and quantum regimes [1,25,26].…”
Section: Main Textmentioning
confidence: 99%