CN113574501A - Random number generation device and generation method thereof - Google Patents
Random number generation device and generation method thereof Download PDFInfo
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- CN113574501A CN113574501A CN201980093380.9A CN201980093380A CN113574501A CN 113574501 A CN113574501 A CN 113574501A CN 201980093380 A CN201980093380 A CN 201980093380A CN 113574501 A CN113574501 A CN 113574501A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/58—Random or pseudo-random number generators
- G06F7/588—Random number generators, i.e. based on natural stochastic processes
Abstract
The random number generation device according to an embodiment of the present invention may include: an electric signal generating unit that generates an electric signal dependent on the surface roughness of an object, based on the surface roughness of the object; and a random number generating unit that generates a random number (random number) based on the electric signal generated by the electric signal generating unit.
Description
Technical Field
The present invention relates to a random number generating device and a generating method thereof, and more particularly, to a random number generating device and a generating method thereof that generate random numbers based on irregular roughness of a space.
Background
Personal safety is becoming increasingly important. Since basic information of each person's daily life is stored in the portable electronic device, bills and the like are received through internet mail, important personal information is accessed through a public authority certificate, and money of an account is accessed through OTP.
With the move to the fourth industrial era, the importance of safety is expected to increase further. Therefore, the importance of random numbers as a core element of security is also increasing. According to wikipedia, a random number (unpredictable random number of permutations of numbers) refers to a number that is randomly drawn within a defined range, and the random number is a value that anyone cannot determine to appear next.
Security is an important element in communications, and the Internet of things (Internet of things) is increasing dramatically in the fourth industrial age, and thus the demand for random numbers is increasing dramatically compared to the past.
To maintain the security architecture of the security system, random numbers must be required, and so far, the security architecture has been constructed using pseudo (false) random numbers generated by computer software. Such a pseudo random number scheme has been introduced into most random number generation apparatuses and systems because it has an advantage of being capable of generating random numbers very easily and quickly.
However, the security system set as the pseudo random number has a disadvantage that it is easy to be invaded by a hacker since the generated random number is easily predicted and examined from the outside due to rapid development of computer performance (for example, the advent of a supercomputer, etc.) in the near future.
In order to overcome such a limitation and to secure the safety of the fourth industrial era, researchers and developers around the world have recently been developing a physical (real) random number generating apparatus to generate random numbers in a physical phenomenon that anyone cannot predict.
Disclosure of Invention
Technical problem to be solved
An object of the present invention is to provide a random number generation device and a random number generation method for generating random numbers based on irregular surface roughness.
It is still another object of the present invention to provide a random number generating apparatus for generating a random number having excellent security and a method thereof.
Another object of the present invention is to provide a mobile random number generation device and a generation method thereof.
It is still another object of the present invention to provide a random number generating apparatus for generating a random number quickly and a method thereof.
It is still another object of the present invention to provide a random number generating apparatus and a random number generating method for generating a random number having excellent quality integrity.
The technical problem to be solved by the present invention is not limited to the above technical problem.
Technical scheme for solving problems
The random number generation device according to an embodiment of the present invention may include: an electric signal generating unit that generates an electric signal dependent on the surface roughness of an object, based on the surface roughness of the object; and a random number generator that generates a random number (random number) based on the electric signal generated by the electric signal generator.
According to an embodiment, the electric signal generating unit may generate different electric signals according to a contact type input depending on the roughness of the surface of the object.
According to an embodiment, the electric signal generating unit may generate different electric signals according to a stroke direction (stroke direction) of the contact input.
According to an embodiment, the electric signal generating unit may generate different electric signals according to a contact pressure of the object.
According to one embodiment, the electrical signal generating unit is portable.
According to an embodiment, the electric signal generating unit may include at least one surface roughness sensor including a first substrate having flexibility and formed with a plurality of fillers that deform in response to a contact input of the object, a second substrate facing the first substrate, and a variable resistance layer provided between the first substrate and the second substrate.
According to an embodiment, when the filler is deformed, the resistance of the variable resistance layer may be decreased.
According to an embodiment, the at least one surface roughness sensor may be provided in an array along a plane direction of the generation portion of the electrical signal.
According to an embodiment, the electric signal generating part may include a surface roughness sensor formed with a light emitting part that emits light toward a target surface and a light receiving part that receives light reflected by the target surface from the emitted light.
The random number generation method of an embodiment of the present invention may include: an electric signal generation step of generating an electric signal depending on the surface roughness of the object; and a random number generation step of generating a random number based on the electric signal generated by the electric signal generation unit.
Advantageous effects of the invention
The random number generation device and the random number generation method according to an embodiment of the present invention can generate a random number based on an irregular surface roughness.
The random number generated by the random number generation apparatus and the random number generation method according to an embodiment of the invention can have excellent security.
The random number generation apparatus of an embodiment of the present invention may have portability and/or mobility.
The random number generation apparatus and the random number generation method according to an embodiment of the present invention can generate a random number at a high speed (a speed of 1Gbps or more).
The random number generation device and the random number generation method of the embodiment of the invention can generate high-quality random numbers.
Drawings
FIG. 1 is a block diagram illustrating a random number generation apparatus according to an embodiment of the present invention;
fig. 2 is a diagram for explaining a random number generation apparatus according to an embodiment of the present invention;
fig. 3 and 4 are diagrams for explaining an electric signal generating section according to an embodiment of the present invention;
fig. 5 is a diagram for explaining a random number generation unit according to an embodiment of the present invention;
FIG. 6 is a diagram for explaining a random number generation method according to an embodiment of the present invention;
fig. 7 to 12 are specific diagrams for explaining a random number generation method according to an embodiment of the present invention;
FIGS. 13 to 17 show a manufacturing example and a use example of the random number generating apparatus according to the embodiment of the present invention;
fig. 18 to 20 are diagrams for explaining an electric signal generating unit according to a modification of the present invention.
Detailed Description
Hereinafter, specific embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the technical idea of the present invention is not limited to the embodiments described herein and may be implemented in other ways. Rather, the embodiments described herein are provided so that this disclosure will be thorough and complete, and will fully convey the spirit of the invention to those skilled in the art.
In the present specification, when a structural element is described as being on another structural element, it means that the structural element may be directly formed on the other structural element or a "third" structural element may be interposed therebetween. Also, in order to effectively describe the technical contents, the shape and size are exaggeratedly shown in the drawings.
In addition, in the embodiments of the present invention, terms such as "first", "second", and "third" are used to describe various components, but the components are not limited to the terms. The above terms are only used to distinguish one structural element from another. Therefore, it is referred to as a "first structural element" in one embodiment and may also be referred to as a "second structural element" in another embodiment. The various embodiments described and illustrated herein also include additional embodiments thereof. In the present specification, "and/or" is used to mean that at least one of the structural elements listed before and after is included.
In the present specification, terms such as "including" or "having" are intended to specify the presence of the features, numerals, steps, structural elements, components or combinations thereof described in the specification, and are not to be construed as precluding the presence or addition of one or more other features or numerals, steps, structural elements, components or combinations thereof in advance.
Also, in the following description of the present invention, if it is determined that detailed description of related well-known functions or constructions may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.
Fig. 1 is a block diagram illustrating a random number generation apparatus according to an embodiment of the present invention.
Referring to fig. 1, the random number generating apparatus according to an embodiment of the present invention may include an electric signal generating unit 110 that generates an electric signal depending on the surface roughness of the object based on irregular surface roughness.
The electric signal generating unit 110 may generate an electric signal depending on the surface roughness by contacting or not contacting the object. The roughness referred to herein may be understood as a concept including at least one of the surface roughness provided in the electric signal generating section 110 and/or the surface roughness of the object itself.
When the electric signal generating unit 110 is a contact type electric signal generating unit, the electric signal can be generated by considering not only the roughness of the surface but also the contact pressure and the stroke direction. For example, even if physical contact is made with the same pressure, object bodies having different surface roughness may generate different electrical signals. For example, even when an object having the same surface roughness is brought into contact with the object, different electric signals can be generated according to the contact pressure. For another example, even if the object bodies having the same surface roughness are contacted with the same pressure, different electric signals can be generated according to the stroke direction. The stroke direction referred to herein may refer to a change in the contact direction from the contact start point to the contact end point.
The random number generator 180 may generate a random number based on the electric signal generated by the electric signal generator 110. That is, the random number generating unit 180 may convert an irregular electrical signal generated based on an irregular surface roughness in the electrical signal generating unit 110 into a random number.
Hereinafter, each structure is described in more detail.
Fig. 2 is a diagram illustrating a random number generation device according to an embodiment of the present invention, and fig. 3 and 4 are diagrams illustrating an electric signal generation unit according to an embodiment of the present invention.
Referring to fig. 2, the electric signal generating part 110 according to an embodiment of the present invention may be formed of an array of a plurality of surface roughness sensors 120. For example, the surface roughness sensors 120 may be arranged in 4 in the X direction and 4 in the Y direction. This is for convenience of explanation, and the direction and number of arrays are not limited thereto. For convenience of explanation, the surface roughness sensor in the area a shown in fig. 2 is described as an example, but the present invention is not limited thereto.
The surface roughness sensor 120 may be a sensor that measures surface roughness in contact with an object. For further detailed description, referring to fig. 3, the surface roughness sensor 120 may include at least one of a first substrate 130, a variable resistance layer 132, a second substrate 140, and a filler 142. The respective structures are described below.
The first substrate 130 may be used as a support substrate. The first substrate 130 may be made of a rigid material or a flexible material. For example, the first substrate 130 may be made of polyethylene terephthalate (PET) or Polydimethylsiloxane (PDMS).
A variable resistance layer 132 may be provided on the first substrate 130.
The variable resistance layer 132 may be made of a material whose resistance varies according to applied pressure. For example, the variable resistance layer 132 may be made of a conductive material including a prescribed void (void). In this case, when the contact pressure of the object is applied, the voids decrease and the contact area between the conductive materials increases, so that the resistance of the variable-resistance layer 132 decreases. For this, the variable resistance layer 132 may be made of graphene.
A second substrate 140 may be disposed on the variable resistance layer 132. A plurality of fillers 142 may be disposed on the second substrate 140. That is, the first substrate 130, the variable-resistance layer 132, the second substrate 140, and the filler 142 may be sequentially stacked in the Z-axis direction of fig. 3.
The filler 142 may have a width of a micrometer or nanometer unit, and may have a shape protruding from the surface of the second substrate 140 by a predetermined height along the Z-axis direction. In the case of contact with the object, the filler 142 may be physically deformed according to any one of the surface roughness, the contact pressure, and the stroke direction of the object. To this end, the filler 142 may include a material having a predetermined elasticity, for example, at least one of PET and PDMS.
According to one example, the distance between the fillers 142 may be several micrometers, for example, 1 um. The narrower the distance between the fillers 142, the higher the resolution.
According to an example, the filler 142 may be integrally formed with the second substrate 140.
The second substrate 140 may be deformed in conjunction with the physical deformation of the filler 142. For this purpose, the second substrate 140 may be made of at least one material selected from PET and PDMS. When the second substrate 140 is physically deformed, the variable-resistance layer 132 provided between the first substrate 130 and the second substrate 140 may be deformed. That is, the contact input of the object is transmitted to the variable resistance layer 132 through the filler 142 and the second substrate 140, and thus the resistance of the variable resistance layer 132 may be changed.
According to an example, the second substrate 140 may be provided with a plurality of the fillers 142, and the width, height, and/or shape may be set so that the elastic coefficients thereof are different. For example, the width of the filler 142 is thicker the further in the X-axis direction. Thus, even if there are contact inputs having the same surface roughness and the same contact pressure, the resistance of the variable resistance layer 132 may be different.
The change in resistance of the variable resistance layer 132 can be measured by the router 122 and the electrode 124 connected to the router 122. As described in more detail with reference to fig. 2 and 4, the router 122 and the electrode 124 can be provided at the same level as the variable resistance layer 132. One end of the router 122 may be electrically connected to both ends of the variable resistance layer 132, and the other end of the router 122 may be electrically connected to the electrode 124. Therefore, the resistance change of the variable-resistance layer 132 according to the contact input of the object can be measured by the electrode 124.
For example, the router 122 and the electrode 124 may be made of graphene. However, the router 122 and the electrode 124 may have higher conductivity than the variable resistance layer 132 by controlling the width, thickness, and graphene concentration.
The structure of the electric signal generating section 110 of the embodiment of the present invention is described above. Although the electrical signal generating section 110 shown in a in fig. 2 is described as an example, the remaining 15 electrical signal generating sections 110 in fig. 2 may have a corresponding structure. Therefore, as shown in fig. 2, 16 electric signal generating portions 110 are formed in the center portion, and electrodes electrically connected to the electric signal generating portions 110 are formed in the edge portions.
Hereinafter, a method of manufacturing the electric signal generating section 110 according to an embodiment of the present invention will be described.
First, the first substrate 130 may be prepared. A first mask having openings corresponding to the shapes of the router 122 and the electrode 124 may be formed on the first substrate 130. Also, a first graphene solution dissolved in a Dimethylformamide (DMF) solvent may be prepared. The prepared first graphene solution may be sprayed onto a router and an electrode position through the first mask. Thereafter, a mask in which an opening corresponding to the shape of the variable resistance layer 132 is formed may be provided on the first substrate 130. The prepared second graphene solution may be sprayed on the position of the variable resistance layer through the second mask. This enables formation of the router 122, the electrode 124, and the variable resistance layer 132.
On the other hand, the second substrate 140 may be prepared. A plurality of micro fillers 142 may be formed on the second substrate 140. In the case where the second substrate 140 is made of PET, the filler 142 may be formed on one surface of the second substrate 140 through an etching process. In contrast, in the case where the second substrate 140 is formed of PDMS having high flexibility, the filler 142 is formed on one side of the second substrate 140 through a molding (molding) process.
The prepared second substrate 140 may be bonded to the first substrate 130 such that the filler 142 is exposed to the outside, and the router 122, the electrode 124, and the variable resistance layer 132 may be formed on the first substrate 130.
The above describes the electric signal generating section 110 of an embodiment of the present invention. Hereinafter, the random number generation section 180 according to an embodiment of the present invention will be described.
Fig. 5 is a diagram for explaining a random number generation unit according to an embodiment of the present invention.
Referring to fig. 5, the random number generator 180 may generate a random number based on a resistance variation value of the surface roughness of the object in the electric signal generator 110. For this purpose, the random number generating unit 180 may include at least one of a preprocessing unit 182, a transformer 184, a signal processing unit 186, and a random number generator 188.
The preprocessor 182 may obtain a resistance change value from the electrical signal generator 110 and remove noise. For example, the preprocessing unit 182 may specify and normalize the Y-axis resistance range.
The converter 184 may digitize the analog result value of the preprocessor 182.
The signal processing unit 186 may generate a Least Significant Bit (LSB) from the digital value of the converter 184.
The random number generator 188 may generate a Random Number (RN) based on a result value from the signal processing unit 186. The random number generator 188 may generate a Random Number (RN) according to a predetermined random number generation algorithm.
The random number generation apparatus 100 according to an embodiment of the present invention is described above with reference to fig. 1 to 5. Hereinafter, a random number generation method according to an embodiment of the present invention is described with reference to fig. 6 to 12. Of course, the random number generation method according to an embodiment of the present invention can be implemented by the random number generation apparatus 100.
Fig. 6 is a diagram for explaining a random number generation method according to an embodiment of the present invention, and fig. 7 to 12 are specific diagrams for explaining the random number generation method according to an embodiment of the present invention.
Referring to fig. 6, a random number generation method according to an embodiment of the present invention includes: an electric signal generation step of generating an electric signal dependent on the surface roughness of the object (step S110); and a random number generation step of generating a random number based on the electric signal generated by the electric signal generation unit (step S120).
Step S110
The predetermined object may be in contact with the surface roughness sensor 120. The predetermined object is not limited to this object, and hereinafter, for convenience of explanation, a finger or a pen is assumed.
Referring to fig. 7, an object Obj1 as a finger may be in contact with the surface roughness sensor 120 along the T1 direction. The thickness of the variable-resistance layer 132 before the contact input of the object may be an initial thickness D1. For example, the random number generating unit 180 may periodically obtain the resistance change value of the variable resistance layer 132 through the electrode 124 electrically connected to the variable resistance layer 132. In the case where the thickness of the variable-resistance layer 132 is D1, the resistance of the variable-resistance layer 132 may be a maximum value.
Next, referring to fig. 8, the object Obj1 as a finger may press and contact the specified filler 142. Thereby, the filler 142 is physically deformed, the deformation of the filler 142 causes local deformation of the second substrate 140, and the thickness of the variable-resistance layer 132 may be changed from D1 to D2 due to the deformation of the second substrate 140. Accordingly, the resistance of the variable resistance layer 132 may decrease because the electrical path increases rather than the voids of the graphene decrease. In this case, when the contact pressure with which the object Obj1 as a finger is pressed and contacted is changed, the thickness of the variable-resistance layer 132 may be changed accordingly. Therefore, the random number generation unit 180 can recognize the resistance change and generate a new random number corresponding to the resistance change.
For reference, although fig. 8 illustrates that the shape changes according to the object Obj14 fillers 142 as fingers, this is for convenience of explanation, and when the pitch between the fillers 142 is 1um and the width is several micrometers, the area is 1mm, of course2The object Obj1 may beTens of thousands of the fillers 142 are deformed. In this case, the number of the deformable fillers 142 and the degree of deformation of the fillers 142 may correspond to 1mm according to2The shape and depth of the fingerprint of the surface roughness of the area varies.
On the other hand, referring to fig. 9, the object Obj2 as a pen has a surface roughness different from that of the finger, which may be in contact with the surface roughness sensor 120 along the T2 direction. The thickness of the variable-resistance layer 132 before the contact input of the object may be the initial thickness D1 again.
Next, referring to fig. 10, the object Obj2 as a pen can press and contact the predetermined filler 142. Therefore, the filler 142 is physically deformed, the deformation of the filler 142 causes local deformation of the second substrate 140, and the thickness of the variable-resistance layer 132 is changed from D1 to D3 due to the deformation of the second substrate 140. In this case, the degree of thickness variation of the variable-resistance layer 132 may be greater than that of the object body as a finger. Therefore, even in the case where the filler 142 is contacted with a pen at the same pressure as a finger, the degree of resistance decrease of the variable-resistance layer 132 may be different. Because their surface roughness etc. are different. Therefore, random numbers different from each other can be generated depending on what object is used to press and contact the filler.
On the other hand, referring to fig. 11, the object Obj1 as a finger can be stroked in the T3 direction when pressing and contacting the filler 142. Referring to fig. 12 for ease of understanding, strokes may be made starting from T3a to T3 b. In this case, a resistance change may be caused in the respective surface roughness sensors corresponding to T3a to T3 b. Therefore, the random number generation unit 180 selects a specific surface roughness sensor from among the surface roughness sensors, and can generate a random number by combining the resistances measured by the surface roughness sensors.
The random number generation method of an embodiment of the present invention is described above. Hereinafter, a manufacturing example and a use example will be described with reference to fig. 13 to 17.
Fig. 13 to 17 show a manufacturing example and a use example of the random number generating device according to the embodiment of the present invention.
Fig. 13 is a photograph showing the manufactured filler 142. The scale is 200 um. As shown in fig. 13, it was confirmed that a filler having a minute size was formed.
Fig. 14 is a photograph showing the manufactured random number generation apparatus. As shown in the drawing, in the case where the random number generation device of one embodiment is provided with 16 surface roughness sensors, it also has a size sufficient to hold it with one hand and has flexibility. Thus, the random number generation apparatus of an embodiment may be considered to be portable.
Fig. 15 is a photograph showing the surface roughness of an arbitrary object, fig. 16 is a photograph showing the voltage change of an electrode occurring when the surface of a filler is contacted by the object illustrated in fig. 15, and fig. 17 is a photograph showing the random number (black 1, white 0) generated in the random number generation section 180 based on the resistance change illustrated in fig. 16
As described above, according to the random number generation device and the random number generation method according to the embodiment of the present invention, the random number can be generated based on the inherent surface roughness of the object. Also, the pressure of the object contacting the filler, the stroke direction, and the elastic coefficients of the filler and the substrate may affect the resistance change of the variable resistance layer. Therefore, the random number generated by the user can have excellent security. This is because the surface roughness, contact pressure, stroke direction, and elastic modulus of the filler and the substrate of the object used by the user cannot be decoded. Therefore, the random number generation apparatus according to an embodiment of the present invention can provide excellent security.
Also, according to the random number generation apparatus and the random number generation method of an embodiment of the present invention, the random number can be generated depending on space rather than time. If the random numbers are generated depending on only time, it is inevitable to invest more time in order to improve the quality or the number of the random numbers. However, according to an embodiment, since it depends on a space having irregular surface roughness, it can be solved by increasing the number of sensors measuring the surface roughness of the space in order to increase the quality or the number of random numbers. That is, the generation time of the random number can be significantly reduced, and as shown in the above manufacturing example, the advantage of portability can be maintained.
Furthermore, the random number generation apparatus and the generation method thereof according to an embodiment of the present invention are based on the surface roughness, so that the apparatus can be simplified. In contrast, conventional random number generation devices based on quantum technology have little portability and mobility because the devices are complex and bulky to implement. In contrast, the random number generation apparatus of an embodiment is different from other technologies, and the random number generation apparatus of an embodiment may be mounted on a portable device such as a smart phone, which is the core of the fourth industrial revolution.
The random number generation device and the random number generation method according to the embodiment of the present invention are described above. Although it is assumed that the electric signal generating section includes a contact type surface roughness sensor, the following embodiment is different therefrom in including a non-contact type surface roughness sensor. Hereinafter, different structures are mainly described.
Fig. 18 to 20 are diagrams for explaining an electric signal generating unit according to a modification of the present invention.
Referring to fig. 18, the electric signal generating unit of the modification may include a surface roughness sensor 150, a light emitting unit 152, and a light receiving unit 154. The light emitting portion 152 may supply the emitted light L1 toward the object surface Obj3, and the light receiving portion 154 may receive the reflected light L2 reflected from the object surface Obj 3.
If C, which is a part of the object plane Obj3, is enlarged, even a macroscopically smooth surface may be a surface having concavities and convexities on a microscopic level. Therefore, the light receiving unit 154 can receive the reflected light L2 in an amount corresponding to the surface roughness. The light receiving portion 154 may generate an electrical signal based on the amount of the reflected light L2 and the surface roughness.
Of course, the surface roughness sensors 150 of the modification may be provided in an array form as required.
The electrical signal generated in the surface roughness sensor 150 may be supplied to the random number generating part 180. Therefore, the random number generator 180 can generate a unique random number.
The surface roughness sensor 150 of the modification may be provided in an automobile.
Referring to fig. 19, the surface roughness sensor 150 of the modification may be provided on the side of the automobile so as to face the driving surface.
Since the traveling surface of the automobile changes as the automobile travels T4, the reflected light L2 received by the light receiving unit 154 changes constantly in the surface roughness of the traveling surface. In this way, the random number generator 180 can generate a unique random number.
If the vehicle is started but stopped, the vehicle may also generate natural vibrations during the start process. Therefore, even in the case where the automobile is stopped, the direction angle of the emitted light L1 changes due to vibration generated by the automobile itself. Therefore, the light receiving unit 154 receives the reflected light L2 that varies according to the surface roughness. In this way, the random number generator 180 can generate a unique random number.
Referring to fig. 20, another modification of the surface roughness sensor 150 shown in fig. 19 can be confirmed. The surface roughness sensor 150 described with reference to fig. 19 is installed at one side of the bottom surface of the automobile to obtain the surface roughness of the driving surface.
In contrast, according to the modification of the surface roughness sensor 150 shown in fig. 20, it may be provided on one side of the automobile tire, for example, in a groove of a tread of a ground contact surface of the automobile tire. Further, a plurality of surface roughness sensors 150 may be provided along the circumferential direction of the tire. As shown in fig. 20, the surface roughness sensor 150 may include a light emitting portion 152a1, 152b1, 152c1 and a light receiving portion 154a1, 154b1, 154c1 along the circumferential direction of the ground plane. Therefore, the surface roughness of the running surface can be always obtained regardless of the environment in which the tire and the running surface contact the ground. It is needless to say that a plurality of light emitting portions and light receiving portions may be provided in the width direction of the tire. That is, as shown in fig. 20, the tread grooves of the tire may also align the light emitting portion 152a2, 152b2, 152c2 and the light receiving portion 154a2, 154b2, 154c 2.
Since the surface roughness sensor 150 is provided in the tread groove of the tire, the surface roughness of the running surface can be obtained in an environment where the distance from the running surface is minimized according to the rotation of the tire.
The embodiments of the present invention described above can be applied to various fields requiring random numbers. For example, embodiments of the present invention may be applied to a smart phone, and may also be applied to medical devices for real-time communication of personal medical information, an auto-run automobile, various internet of things (IoT) devices, a financial technology OTP, a blockchain, and the like.
The present invention has been described in detail using the preferred embodiments, but the scope of the present invention is not limited to the specific embodiments, and the scope of the present invention should be construed by the claims appended hereto. Further, various modifications and alterations can be made by those skilled in the art without departing from the essential characteristics of the present invention.
Claims (10)
1. A random number generation apparatus, comprising:
an electric signal generating unit that generates an electric signal dependent on the surface roughness of an object, based on the surface roughness of the object; and
and a random number generating unit that generates a random number based on the electric signal generated by the electric signal generating unit.
2. The random number generation device according to claim 1, wherein the electric signal generation unit generates different electric signals from each other based on a contact input depending on a surface roughness of the object.
3. The random number generating device according to claim 2, wherein the electric signal generating section generates different electric signals from each other in accordance with a stroke direction of the touch input.
4. The random number generation device according to claim 2, wherein the electric signal generation unit generates different electric signals according to a contact pressure of the object.
5. The random number generating device according to claim 1, wherein the electric signal generating unit is portable.
6. The random number generating device according to claim 1, wherein the electric signal generating unit includes at least one surface roughness sensor including a first substrate having flexibility and formed with a plurality of fillers that deform in response to the contact input of the object, a second substrate facing the first substrate, and a variable resistance layer provided between the first substrate and the second substrate.
7. The random number generating device according to claim 6, wherein when the filler is deformed, the resistance of the variable resistance layer decreases.
8. The random number generating apparatus according to claim 6, wherein said at least one surface roughness sensor is provided in an array along a surface direction of said electric signal generating section.
9. The random number generating device according to claim 1, wherein the electric signal generating unit includes a surface roughness sensor, and the surface roughness sensor is provided with a light emitting unit that emits light toward a target surface and a light receiving unit that receives light reflected by the target surface from the emitted light.
10. A random number generation method, comprising:
an electric signal generation step of generating an electric signal depending on the surface roughness of the object; and
a random number generation step of generating a random number based on the electric signal generated by the electric signal generation unit.
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| KR1020190051232A KR102037667B1 (en) | 2019-05-02 | 2019-05-02 | Random Number Generating Apparatus and the Generating Method thereof |
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| PCT/KR2019/012416 WO2020222374A1 (en) | 2019-05-02 | 2019-09-24 | Random number generation device and generation method for same |
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