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Dive into the research topics where Makoto Naruse is active.

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Featured researches published by Makoto Naruse.


Journal of Optics | 2016

Roadmap on optical security

Bahram Javidi; Artur Carnicer; Masahiro Yamaguchi; Takanori Nomura; Elisabet Pérez-Cabré; María S. Millán; Naveen K. Nishchal; Roberto Torroba; John Fredy Barrera; Wenqi He; Xiang Peng; Adrian Stern; Yair Rivenson; A Alfalou; C Brosseau; Changliang Guo; John T. Sheridan; Guohai Situ; Makoto Naruse; Tsutomu Matsumoto; Ignasi Juvells; Enrique Tajahuerce; Jesús Lancis; Wen Chen; Xudong Chen; Pepijn Willemszoon Harry Pinkse; Allard Mosk; Adam Markman

Information security and authentication are important challenges facing society. Recent attacks by hackers on the databases of large commercial and financial companies have demonstrated that more research and development of advanced approaches are necessary to deny unauthorized access to critical data. Free space optical technology has been investigated by many researchers in information security, encryption, and authentication. The main motivation for using optics and photonics for information security is that optical waveforms possess many complex degrees of freedom such as amplitude, phase, polarization, large bandwidth, nonlinear transformations, quantum properties of photons, and multiplexing that can be combined in many ways to make information encryption more secure and more difficult to attack. This roadmap article presents an overview of the potential, recent advances, and challenges of optical security and encryption using free space optics. The roadmap on optical security is comprised of six categories that together include 16 short sections written by authors who have made relevant contributions in this field. The first category of this roadmap describes novel encryption approaches, including secure optical sensing which summarizes double random phase encryption applications and flaws [Yamaguchi], the digital holographic encryption in free space optical technique which describes encryption using multidimensional digital holography [Nomura], simultaneous encryption of multiple signals [Perez-Cabre], asymmetric methods based on information truncation [Nishchal], and dynamic encryption of video sequences [Torroba]. Asymmetric and one-way cryptosystems are analyzed by Peng. The second category is on compression for encryption. In their respective contributions, Alfalou and Stern propose similar goals involving compressed data and compressive sensing encryption. The very important area of cryptanalysis is the topic of the third category with two sections: Sheridan reviews phase retrieval algorithms to perform different attacks, whereas Situ discusses nonlinear optical encryption techniques and the development of a rigorous optical information security theory. The fourth category with two contributions reports how encryption could be implemented at the nano- or micro-scale. Naruse discusses the use of nanostructures in security applications and Carnicer proposes encoding information in a tightly focused beam. In the fifth category, encryption based on ghost imaging using single-pixel detectors is also considered. In particular, the authors [Chen, Tajahuerce] emphasize the need for more specialized hardware and image processing algorithms. Finally, in the sixth category, Mosk and Javidi analyze in their corresponding papers how quantum imaging can benefit optical encryption systems. Sources that use few photons make encryption systems much more difficult to attack, providing a secure method for authentication.


Scientific Reports | 2015

Single-photon decision maker

Makoto Naruse; Martin Berthel; Aurélien Drezet; S. Huant; Masashi Aono; Hirokazu Hori; Song Ju Kim

Decision making is critical in our daily lives and for society in general and is finding evermore practical applications in information and communication technologies. Herein, we demonstrate experimentally that single photons can be used to make decisions in uncertain, dynamically changing environments. Using a nitrogen-vacancy in a nanodiamond as a single-photon source, we demonstrate the decision-making capability by solving the multi-armed bandit problem. This capability is directly and immediately associated with single-photon detection in the proposed architecture, leading to adequate and adaptive autonomous decision making. This study makes it possible to create systems that benefit from the quantum nature of light to perform practical and vital intelligent functions.


Scientific Reports | 2016

Optical Addressing of Multi-Colour Photochromic Material Mixture for Volumetric Display

Ryuji Hirayama; Atsushi Shiraki; Makoto Naruse; Shinichiro Nakamura; Hirotaka Nakayama; Takashi Kakue; Tomoyoshi Shimobaba; Tomoyoshi Ito

This is the first study to demonstrate that colour transformations in the volume of a photochromic material (PM) are induced at the intersections of two control light channels, one controlling PM colouration and the other controlling decolouration. Thus, PM colouration is induced by position selectivity, and therefore, a dynamic volumetric display may be realised using these two control lights. Moreover, a mixture of multiple PM types with different absorption properties exhibits different colours depending on the control light spectrum. Particularly, the spectrum management of the control light allows colour-selective colouration besides position selectivity. Therefore, a PM-based, full-colour volumetric display is realised. We experimentally construct a mixture of two PM types and validate the operating principles of such a volumetric display system. Our system is constructed simply by mixing multiple PM types; therefore, the display hardware structure is extremely simple, and the minimum size of a volume element can be as small as the size of a molecule. Volumetric displays can provide natural three-dimensional (3D) perception; therefore, the potential uses of our system include high-definition 3D visualisation for medical applications, architectural design, human–computer interactions, advertising, and entertainment.


Scientific Reports | 2016

Random walk with chaotically driven bias

Song Ju Kim; Makoto Naruse; Masashi Aono; Hirokazu Hori; Takuma Akimoto

We investigate two types of random walks with a fluctuating probability (bias) in which the random walker jumps to the right. One is a ‘time-quenched framework’ using bias time series such as periodic, quasi-periodic, and chaotic time series (chaotically driven bias). The other is a ‘time-annealed framework’ using the fluctuating bias generated by a stochastic process, which is not quenched in time. We show that the diffusive properties in the time-quenched framework can be characterised by the ensemble average of the time-averaged variance (ETVAR), whereas the ensemble average of the time-averaged mean square displacement (ETMSD) fails to capture the diffusion, even when the total bias is zero. We demonstrate that the ETVAR increases linearly with time, and the diffusion coefficient can be estimated by the time average of the local diffusion coefficient. In the time-annealed framework, we analytically and numerically show normal diffusion and superdiffusion, similar to the Lévy walk. Our findings will lead to new developments in information and communication technologies, such as efficient energy transfer for information propagation and quick solution searching.


Scientific Reports | 2016

Optical nano artifact metrics using silicon random nanostructures

Tsutomu Matsumoto; Naoki Yoshida; Shumpei Nishio; Morihisa Hoga; Yasuyuki Ohyagi; Naoya Tate; Makoto Naruse

Nano-artifact metrics exploit unique physical attributes of nanostructured matter for authentication and clone resistance, which is vitally important in the age of Internet-of-Things where securing identities is critical. However, expensive and huge experimental apparatuses, such as scanning electron microscopy, have been required in the former studies. Herein, we demonstrate an optical approach to characterise the nanoscale-precision signatures of silicon random structures towards realising low-cost and high-value information security technology. Unique and versatile silicon nanostructures are generated via resist collapse phenomena, which contains dimensions that are well below the diffraction limit of light. We exploit the nanoscale precision ability of confocal laser microscopy in the height dimension; our experimental results demonstrate that the vertical precision of measurement is essential in satisfying the performances required for artifact metrics. Furthermore, by using state-of-the-art nanostructuring technology, we experimentally fabricate clones from the genuine devices. We demonstrate that the statistical properties of the genuine and clone devices are successfully exploited, showing that the liveness-detection-type approach, which is widely deployed in biometrics, is valid in artificially-constructed solid-state nanostructures. These findings pave the way for reasonable and yet sufficiently secure novel principles for information security based on silicon random nanostructures and optical technologies.


Physica A-statistical Mechanics and Its Applications | 2016

Eigenanalysis of morphological diversity in silicon random nanostructures formed via resist collapse

Makoto Naruse; Morihisa Hoga; Yasuyuki Ohyagi; Shumpei Nishio; Naoya Tate; Naoki Yoshida; Tsutomu Matsumoto

Nano-artifact metrics is an information security principle and technology that exploits physically uncontrollable processes occurring at the nanometer-scale to protect against increasing security threats. Versatile morphological patterns formed on the surfaces of planar silicon devices originating from resist collapse are one of the most unique and useful vehicles for nano-artifact metrics. In this study, we demonstrate the eigenanalysis of experimentally fabricated silicon random nanostructures, through which the diversity and the potential capacity of identities are quantitatively characterized. Our eigenspace-based approach provides intuitive physical pictures and quantitative discussions regarding the morphological diversity of nanostructured devices while unifying measurement stability, which is one of the most important concerns regarding security applications. The analysis suggests approximately 10115 possible identities per 0.18-μm2 nanostructure area, indicating the usefulness of nanoscale versatile morphology. The presented eigenanalysis approach has the potential to be widely applicable to other materials, devices, and system architectures.


Nanophotonics | 2017

Nanoscale hierarchical optical interactions for secure information

Naoya Tate; Makoto Naruse

Abstract There is increasing demand for novel physical security that can differentiate between real and false specific artifact that have been added to bank bills, certifications, and other vouchers. The most simple and effective method for improving the security level is to scale down the elemental structures so that they cannot be duplicated by attackers. While there is a paradox that the achieved fabrication resolution by a defender can also be realized by an attacker, further improvement in security is possible by the functional fusion of artifact metrics and nanophotonics. The fundamental advantages of this concept are the high-level clone resistance and individuality of nanoscale artifacts, which are based on the super-resolution fabrication and nanoscale hierarchical structure of optical near-field interactions, respectively. In this paper, the basis for the fabrication of nanoscale artifacts by utilizing random phenomena is described, and a quantitative evaluation of the security level is presented. An experimental demonstration using a nano-/macro-hierarchical hologram is presented to demonstrate the fundamental procedure for retrieving nanoscale features as hidden information. Finally, the concept and a simple demonstration of non-scanning probe microscopy are described as a practical application of the retrieval and authentication of nanoscale artifact metrics.


IJUC | 2016

Brownian Circuits: Designs.

Jia Lee; Ferdinand Peper; Sorin Cotofana; Makoto Naruse; Motoichi Ohtsu; Tadashi Kawazoe; Yasuo Takahashi; Tetsuya Shimokawa; Laszlo B. Kish; Tohru Kubota


ACS Photonics | 2016

Single Photon in Hierarchical Architecture for Physical Decision Making: Photon Intelligence

Makoto Naruse; Martin Berthel; Aurélien Drezet; S. Huant; Hirokazu Hori; Song-Ju Kim


Philosophies | 2016

Harnessing the Computational Power of Fluids for Optimization of Collective Decision Making

Song-Ju Kim; Makoto Naruse; Masashi Aono

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Masashi Aono

Tokyo Institute of Technology

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Tsutomu Matsumoto

Yokohama National University

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Naoki Yoshida

Yokohama National University

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Song Ju Kim

National Institute for Materials Science

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Song-Ju Kim

National Institute for Materials Science

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