Method and apparatus for selecting preferred information security means

FIELD: information technology.

SUBSTANCE: information on unit indicators of compared means is switched, recorded in a first memory unit, sent to a worst quality and best quality reference forming unit, which forms the corresponding beginning and end of a straight line which defines a quality estimation scale; planes perpendicular to that straight line are made through points of the compared means in the space of the unit indicators; parameters of the points of intersection with the estimation scale are found, values of which form complex quality indicators of the compared means, the maximum value of one of which corresponds to the preferred means.

EFFECT: high security of devices.

2 cl, 2 dwg

 

The invention relates to digital computing, and in particular to digital computing systems to determine the quality of the comparison of complex systems, products, and various objects described by a significant number of heterogeneous individual indicators. Inability or great difficulty to establish the importance of the properties (characteristics) of the compared objects or their variants and the lack of training samples for the formation of a rating scale is suggested to use the original data, the estimated sample when determining the preferred object.

The invention can be used in the military sector, for the planning, design, development, and acceptance into service of more advanced systems and tools, weapons, and civil - higher quality and more competitive products and products.

The technical result is an expanding Arsenal of technical means to improve the efficiency and quality of objects through the use of a method and a device of the preferred choice of a number compared at different stages of its life cycle.

The preferred means is associated with the solution of the multicriteria problem. Consider several well-known methods of its solution.

1) there is a method, based on the method of analysis s is Archi [1] and its modifications. Application of these methods provides the possibility of establishing a correlation characteristics comparing means:

properties or characteristics of the evaluated tools are equally significant and important;

- one property or characteristic of several more important than the other;

- one property or characteristic is superior to the other;

- one property or characteristic is clearly more important than others;

- one property or characteristic of the brand is more important than the other.

When establishing such correlations, the problem is reduced to finding the coefficients of weight Wjand combining the normalized individual indicators into a comprehensive Q=f(qj, Wj). However, if we consider funds are clearly heterogeneous properties (characteristics) becomes impossible to use the method of hierarchies and its modifications.

2) there are ways of finding the coefficients of weight by using ranking methods [2, 3] characteristics comparing means, which in the difficulty of experts in case of heterogeneity of properties.

3) Known expert ways of assessing the quality of the discussed tools [3-5]based on the simplification of the first two methods. This means, associated with the lexicographic method, with the method of averaging individual indicators, Maximin method of quality assessment, method ideal point and the other is E.

All the discussed methods of selection of the preferred means of the inherent uncertainties in expert systems associated with the presence of "subjectivism".

4) the Known method [6], based on the creation of training data for creating a rating scale of quality, which allows you to compare products of the evaluated sample. Its disadvantage is the requirement of training samples.

5) Known, and other inventions [7-11] assessment of the quality of objects that are not crucial formulated by the authors to develop ways to select preferred funds without attracting highly qualified experts in the absence of training samples.

To improve the objectivity and reliability of the assessment of the quality of the discussed tools, the authors propose to use the estimated sample consisting of normalized individual quality that allows you to create two hypothetical benchmark, respectively the worst and the best quality. And on the basis of their use of the totality of the considered tools to select an object that has the best summary measure of quality.

1. The method and apparatus of the preferred means of information security, namely, that commute information on individual indicators comparing means, recorded in the first memory block, otlichalis the same time, what it is forwarded to the processing unit standards of the worst and best qualities, forming respectively the beginning and the end of the line that defines the scale for assessing quality, hold the plane perpendicular to the line through points compare means within the space of a single performance, find the points of intersection of a plane with a scale whose values form an integrated quality indicators comparing means, the maximum value of one of them corresponds to the preferred tool.

The essence of the method is clearly illustrated by the comparison of objects with heterogeneous characteristics. These include information security (GIS), single indicators which are listed in table 1.

As the training sample (PBE) use the actual measured sample (IBC). To assess the quality of heterogeneous indicators GIS in table 1 below to the dimensionless form. After normalization

qj=Xj/Xjmax,i=1,3;j= 1,10

they take the values specified in table 2. Mandatory rationing is the growth of an integrated quality indicator (PDA) with the growth of its individual indicators (EP).

Table 1
Baseline data for comparative evaluation szi
Figure GIS, dimensionInformation protection
Szi1Szi2Szi3
X1The availability of funds authentication (identification), score543
X2The availability of access to resources, score343
X3The presence of cryptographic protection, the score1 15
X4The control of integrity score432
X5The availability of funds management protection mechanisms, score345
X6The level of safeguards (network, OS, DBMS and SPO), the number of levels441
X7Integration with other GIS, the probability0.750.850.9
X8Warning, logging and analysis of logs (Yes/no)011
X9The presence of Flash memory (Yes/no)101
X10 The number of licenses for the type of activity, number324

Table 2
Normalized indicators for assessing the quality of szi
Normalized indicators sziInformation protection
Szi1Szi2Szi3
q1The availability of funds authentication (identification)10.80.6
q2The availability of access to resources0.7510.75
q3The presence of cryptographic protection0.20.21
q4 The control integrity10.750.5
q5The availability of funds management protection mechanisms0.60.81
q6The level of safeguards (network, OS, DBMS and str)110.25
q7Integration with other GIS0.830.941
q8Warning, reporting and analysis011
q9The presence of Flash memory101
q1The number of licenses for the type of activity0.750.51

To easy the TBA determine your preferred GIS from a number of alternative divide the evaluation process into several stages:

1. The geometric meaning of quality assessment information security tools. Select the PDA is in the formation of the scale of quality assessment in the form of direct exElconnecting points of the worst exand the best elstandards of quality in space estimate EP qj, j=1, ..., k (see figure 1 for k=2). If you give your initial exand the final elvalues direct values equal to Q(ex)=0 and Q(el)=1, then the direct exElwill represent the rating scale.

Through the point C1in space EP of the first GIS will hold the plane P1perpendicular to the straight line exEl. The point of intersection of the K1this plane with the specified direct will determine the quality measure Q(K1first szi1.

Having carried out a similar operation with the following estimated szi2(point C2)defined another point of K2. From figure 1 you can see the inequality

Q(With aCAnd2)>Q(With aCAnd1),(1)

which indicates a preference for quality second means szi2in relation to the first

the CAnd2With aCAnd1.(1B)

2. The formation of a scale GIS in space EP qj, j=1, k best eland the worst exstandards according to table 2 is simplified due to the increasing PDA with increasing EP. Therefore, the best szilgiven the values of their highest values, and the worst is the lowest, as shown in table 3 for the number of indices k=10. The advantage of this method is unlimited as to the number of parameters and the number of the compared tools.

In the last row of table 3, the Direction Δqj(ExEl) scale of assessment of quality in space EP described by equations

Δqj(ExEl)=qj(El)-qj(Ex),j=1,...,k.(2)

Table 3
The values of EP hypothetical standards exand el
TUq1q2q3q4q5q6q7q8q9q10
qj(Ex)0.60.750.20.50.60.250.83000.5
qj(El)1111111111
Δqj(ExEl)0.4 0.250.80.50.40.750.17110.5

3. Equation of straight line in space EP. The geometric meaning of the construction of a scale is to build a straight line passing through points exand elas shown in figure 1 in two-dimensional space EP. Woven cloth formed of two standards, describes symmetric (canonical) [12] equations

(q1-qx1)/(ql1-qx1)=...=(qj-qxj)/(qlj-qxj)=...=(qk-qxk)/(qlk-qxk)=Q, k=10(2)

The transition with the introduction of the Q parameter for the parametric form of the description line in the multidimensional k≥3 space EP is described by the equations

qj=ΔqjQ+qxj,j=1,...,k.(3)

According to the EP table 3 specification of the formula (3) will look as follows

q1=0.4Q+0.6;q2=0.25Q+0.75;q3=0.8Q+0.2;q4=0.5Q+0.5;

q5=0.4Q+0.6;q6=0.75Q +0.25;q7=0.83Q+0.17; (3a)q8=Q;q9=Q;q10=0.5Q+0.5;

It is easy to see that when Q=0 the equations (3A) are in space EP coordinates qj(Ex) worst hypothetical means szixpoint ex(see the 1st row of table 3). When Q=1, equation (3A) are in space EP coordinates qj(Elbest hypothetical means szilpoint el(see the 2nd line of table 3).

4. The equation of the plane P1in space EP passing through point C1written in the form

j=1k(Δqjqj-q1j)=0,j=1,k.(4)

The requirement of passing the plane of the P1perpendicular to the straight line exElthrough the point C1requires, first, in equation (4) introduction qj(C1their values in parametric form

qj(C1)=ΔqjQ1+qxj,(3b)

secondly, equality Δqj=qj-qxjand, thirdly, the replacement in the formula (3A) of the parameter Q for Q1

j=1kΔqj(ΔqjQ1+qxj-q1j)=0,j=1,k.(4a)

5. The definition of the intersection of the plane P1direct exElconnected with transformation of equations (4A) and is ahogany values of Q 1

j=1kΔqj(ΔqjQ1+qxj-q1j)=Q1j=1kΔqj2+j=1kΔqj(qxj-q1j)=0;(4B)

Q1=j=1kΔqj(q1j-qxj)/j=1kΔqj2 (5)

Analysis of equation (5) shows:

1) the point K1the intersection of the plane P1direct exElpassing through point C1, characterized by the value of Q1defined EP q1j(C1);

2) when the wandering point K1along the line exElthe value of Q1is in the range from zero to one 0=Q1(Ex)≤Q1(K1)≤Q1(El)=1. At the starting point of a scale, when K1→Ex, q1j=qxjand, as follows from formula (5) Q1(K1)=Q1(Ex)=0 only if q1j-qxj=0. At the endpoint of a scale, when K1→El, q1j=qjand, as follows from formula (5), Q1(K1)=Q1(El)=1 only if qj-qxj=Δqj;

3) from this follows an important conclusion that the direct exElcan serve as a scale for assessing the quality and value of the Q1(K1) - a measure of quality, i.e. a comprehensive indicator of quality (PDA) Q.

The definition of the other PDA GIS2, Szi3is similar to the calculation PDA GIS1by repeating steps 4, 5 using the indicated formulas(4)÷(5).

6. Villanie preferred GIS is carried out by ranking the obtained value is the first comprehensive indicators of quality Q iin a number

Q3>Q1>Q2→0.748>0.51>0.469,

from which in accordance with the formula (1B) - stage 1 should

Szi3>szi1>szi2

preference szi3.

Alternatively, the proposed method table 4 shows the results of the method quality assessment GIS-based ideal points [3], which provides for "closeness" to the ideal benchmark for comparison of means.

Table 4
The results of the evaluation sziiways of MDA and Meath
Method 2 standardsQ1Q2Q3
0.510.4690.748
Method (method) ideal pointsR1R2R3
1.3981.4271.017

Table 4 visible disadvantage of this method is the ideal point: although the ranking quality sziiimplemented correctly, but there is no rationing IU the s (0 to 1) the quality of distance from the ideal point.

2. The device for implementing the method according to claim 1, shown in figure 2, containing the switch 1 and the first memory unit 2, characterized in that its composition unit 3 the formation of the standards, unit 4 determination of complex quality indicators, the second memory block 5, block 6 visualization and control block 7, while the output switch 1 is connected to the informative input of the first memory unit 2, exit 8 which is connected to the first input 8 of block 3 formation patterns and the first input 8 of block 4 determination of complex quality indicators, the second input 9 of which is connected to the output 9 of block 3 develop standard, the output 10 of block 4 determination of complex quality indicators connected to the first input 10 of the second memory block and the second input 10 of block 3 develop standard connected to its second output 11 to the second input 11 of the second memory block is connected by its output to the input of the unit 6 visualization, control outputs of the control block 7 is connected to the control inputs of all units 1-6.

The operation of the device is as follows. In accordance with figure 2 the normalized values of the source individual indicators (EP) qij, j=1,k compare means szii, i=1,I is fed to the input of switch 1 and the control command from the control block 7 is written in the 1st memory unit 2. On command from block 7 to control the information about q ijcomes in box 3 the formation of the two etalons worst exand the best elquality. To get TU qj(Exunit 3 operates in unit selection minimum. In accordance with table 2 (first row EPO values of the vector qi1=[q11=1, q21=0.8, q31=0.6] compare qi1(i=1, 2, 3) is fed to the input of the block selecting at least. The minimum is q31=0.6. The second line of table 2 would be minimal q12=q22=0.2. Eventually formed the second line of table 3 qj(Ex).

The formation of the third row of qi(Eltable 3 is similar, but the unit 3 functions as a block select maksimuma. In block 3 is determined and the 4th line is the difference Δqj(ExElbetween the best and worst of the EP (see formula (2)). The values of the rows 2, 3, 4 table 3 output 9 unit 3 develop standard is transmitted to the second input 9 of block 4 determination of complex quality indicators. The values of EP compared sziiis fed to the input 8 of block 4, which according to the formula (5) is the definition of PDA Q1, Q2, Q3the estimated funds. Specific values PDAs Q1, Q2, Q3output 10 unit calculation is written in the second memory unit 2.

When a significant number comparing means there is a necessity in the bore, the maximum value of this number. In this case, the PDA Q1, Q2, Q3output 10 unit 4 is transmitted to the second input of 10 unit 3 develop standard, which specifies the maximum value of the range estimate. This is from the second output 11 of block 3 develop standard is transmitted to the second input 11 of the second memory block. According to the control command unit 7 control values PDAs Q1, Q2, Q3compare funds and preferred of them are on the block visualization. On the power of visualization displayed information: "the Preferred means - szi3", "Value PDA: Q1=0.521; Q2=0.430; Q3=0.767".

So, if it is impossible or great difficulty to establish the importance of the characteristics of the compared tools or options and the lack of training samples for the formation of a scale you can use the original data the estimate of the sample for the selection of the preferred product.

The advantages of the proposed method are:

- the possibility of the formation of scale in the presence of heterogeneous properties (characteristics) of the estimated funds

- no requirement for a highly skilled experts to identify the importance of the properties in the appointment of weight coefficients;

- no restrictions on the number of individual indicators and the and the number of comparing means;

- the presence of easily programmable formulas, which leads to a complete automation of the process of determining the preferred funds;

- the possibility of hierarchical evaluation sophisticated tools broken down into groups of properties (parameters).

Implementation of the proposed method and the device assumes the first stage is in the form of the program on the PC, the second - in the form of a separate device.

Sources of information

1. Sahati So the decision Making dependencies and feedbacks: Analytical network. TRANS. from English. - M.: publishing house "LIBROKOM". 2009. - 360 C.

2. Chernorutskii I.G. Methods of decision making. - SPb. BHV-Petersburg, 2005 - 416 S.

3. Makarov I.D. and other Theory of choice and decision making. - M.: NAUKA. CH. edit FML. 1992. - 328 S.

4. Podinovski CENTURIES the Use of qualitative information about the importance of criteria for solving multiobjective optimization problems. - M.: VIOLA, 1977. - 36 S.

5. Denisov A.A., Kolesnikov D.N. theory of large control systems. - L.: Energoizdat, 1982. - 287 S.

6. Chernoskutov A.I. (RU) and other Device for assessing the quality of the products. Copyright certificate for invention №1597883, G06F 15/46, 1982.

7. Chernoskutov A.I. (RU) and other Device for assessing the quality of the products. Copyright certificate for invention №1485274, G06F 15/46, 1987.

8. Cossacks IV (RU) and other Device to solve problems of quality assessment In The So Application No. 95120833/09, IPC6G06F 17/00, 07.12.1995.

9. Makhutov N.A. (RU) and other means of determining the quality of the product from a reliable and probabilistic parts of the residual defects. Patent No. 2243586, IPC7G05B 23/02, G06F 17/00, published: 27.12.2004.

10. Corovin A.H. (RU). The method of ranking search results. Application No. 2008152920/08, G06F 17/30, 31.12.2008.

11. Burba A.A. (RU) and other Device for evaluating and comparing the effectiveness of the functioning of similar organizations. Patent No. 2363042 (13) C1 IPC G06F 17/, G06F 7/02, G06N 1/00. Published: 27.07.2009.

12. Profitable MA Handbook of higher mathematics. - M.: the AGE, the BIG DIPPER, 1997. - 864 S.

1. The selection method is the preferred means of information security, namely, that commute information on individual indicators comparing means, recorded in the first memory block, characterized in that it is forwarded to the processing unit standards of the worst and best qualities, forming respectively the beginning and the end of the line that defines the scale for assessing quality, hold the plane perpendicular to the line through points compare means within the space of a single performance, find the points of intersection of a plane with a scale whose values form an integrated quality indicators comparing means, the maximum value of one of them corresponds to a preferred tool

2. The device for implementing the method according to claim 1, containing the switch and the first memory block, characterized in that its composition is introduced forming unit standards, the block defining the complex quality indicators, the second memory block, the block visualization and control unit, while the output switch is connected to the informative input of the first memory block, the output of which is connected to the first input of the processing unit standards and the first input of the block defining the complex quality indicators, the second input is connected to the first output of the processing unit samples the output of the block defining the complex quality indicators connected to the first input of the second memory block and the second input unit develop standard connected to its second output to the second input of the second memory block is connected by its output to the input of the block visualization, control outputs a control unit connected to the control inputs of all units.



 

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FIELD: equipment characteristics prognosis technologies.

SUBSTANCE: device provides forming of statistical model for prognosis of characteristics of equipment. Device gets input data, in form of equipment parameter, which includes multiple values, appropriate for parameter. Input data is inputted into model and data set is formed, appropriate for model response to input data, equations system if formed being a model of equipment characteristic, received data is statistically processed for forming probability image of equipment characteristic.

EFFECT: higher efficiency.

6 cl, 4 dwg

FIELD: computer science.

SUBSTANCE: device has two registers blocks, inputs of which are device parameters inputs, pulses multiplication block, four multiplication blocks, comparator, clock pulses generator, adder block, two subtraction blocks, block for multiplication by zero, counter, division block, integrator and register.

EFFECT: broader functional capabilities.

1 dwg

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