CN111415102A - Electric power monitoring system toughness evaluation method based on entropy method - Google Patents
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Abstract
The invention relates to an electric power monitoring system toughness evaluation method based on an entropy method, which comprises the following steps of 1: analyzing toughness characteristics of the power monitoring system from two different dimensions of time and space; step 2: selecting a plurality of toughness evaluation indexes based on the toughness characteristics, and establishing a toughness evaluation index system for the power monitoring system according to the hierarchical structure of the multi-target decision method; and step 3: the quantitative calculation of the index weight is completed by utilizing an entropy method, the weight value of each toughness evaluation index is obtained, and the influence degree of each toughness evaluation index on the system toughness evaluation is judged according to the weight value; and 4, step 4: and calculating the toughness comprehensive score of the power monitoring system as a toughness quantitative evaluation result of the power monitoring system. The method can realize effective evaluation on the toughness of the power monitoring system and ensure the scientificity and accuracy of the evaluation.
Description
Technical Field
The invention relates to a toughness evaluation method of a power monitoring system based on an entropy method.
Background
The electric power monitoring system is a neural network and a control center of the whole urban electric power system and is also a foundation for guaranteeing safe and stable operation and electric power reliability of the urban electric power system. Although the safety protection technology of the existing power monitoring system guarantees the safe and stable operation of the power system, with the development of information technology and the continuous evolution of information security policies of all countries, the tendency of nationalization of network attacks is obvious, and the attack aiming at the vulnerability of the power monitoring system becomes an important form of political and economic struggle. Moreover, the continuity, the concealment and the destructiveness of the information security attack are obviously enhanced, the information security protection difficulty is greatly increased, and the power monitoring system faces new network and information security risks in all links of transmission, transformation, distribution, use and scheduling. Meanwhile, when information element faults and information transmission abnormity occur in the power monitoring system, the structure of an information network of the system may be changed or the availability and integrity of information may be damaged, thereby indirectly affecting the stable operation of the primary power system.
The toughness of the power monitoring system may be defined as: under the continuous disturbance of information security, the system keeps normal service function characteristics, and the influence of disturbance on the system is reduced to the maximum extent so as to keep normal and stable operation. It positively describes the ability of the system to cope with random continuous disturbances. With the rapid development of information technology, information security disturbance gradually presents high continuity, high concealment and strong destructiveness, and it is necessary to perform toughness evaluation on a power monitoring system.
At present, no relevant documents exist for defining and evaluating the toughness of the power monitoring system, the definition and the evaluation are still in the primary stage, and how to establish a set of complete toughness evaluation theory and dynamic evaluation indexes of the power monitoring system is the theoretical basis of the system for dealing with the emergency safety event and is also the technical guidance for improving the toughness capability of the system facing internal and external information disturbance.
Disclosure of Invention
The invention aims to provide a toughness evaluation method of an electric power monitoring system based on an entropy method, which can realize effective evaluation of the toughness of the electric power monitoring system.
The technical scheme for realizing the purpose of the invention is as follows:
an electric power monitoring system toughness evaluation method based on an entropy method is characterized by comprising the following steps:
step 1: analyzing toughness characteristics of the power monitoring system from two different dimensions of time and space;
step 2: selecting a plurality of toughness evaluation indexes based on the toughness characteristics, and establishing a toughness evaluation index system for the power monitoring system according to the hierarchical structure of the multi-target decision method;
and step 3: the quantitative calculation of the index weight is completed by utilizing an entropy method, the weight value of each toughness evaluation index is obtained, and the influence degree of each toughness evaluation index on the system toughness evaluation is judged according to the weight value;
and 4, step 4: calculating the toughness comprehensive score of the power monitoring system as a toughness quantitative evaluation result of the power monitoring system;
the time dimension in the step 1 includes before, when and after the security event occurs, and the space dimension includes physical toughness, network toughness, host toughness and application software toughness.
Further, the toughness evaluation index includes the following four types of indexes: physical toughness, network toughness, host toughness and application software toughness.
Further, the toughness evaluation index further includes management toughness.
Furthermore, four subclasses of indexes are set under the physical toughness index, namely the physical environment condition, the power supply stability, the electromagnetic protection safety and the physical equipment access safety.
Furthermore, four subclasses of indexes are set under the network toughness index, namely intrusion prevention degree, network equipment protection rate, network topology structure and network access security.
Furthermore, four subclass indexes are set under the toughness of the host, namely the encryption authentication degree, the host identity authentication condition, the host access security and the resource control coverage rate.
Furthermore, four subclasses of indexes are set under the toughness of the application software, namely the software fault tolerance rate, the software identity authentication condition, the key program backup condition and the software access safety.
Further, four subclasses of indexes are set under the management toughness index, and are respectively a safety audit period condition, an emergency starting plan formulation condition, a safety management system formulation condition and a system operation and maintenance condition.
Further, the toughness evaluation of the power monitoring system by using an entropy method comprises the following steps:
step 3.1: constructing an evaluation data matrix: m power monitoring systems are arranged, and if n rating indexes are provided, the original index matrix is Z ═ Xij}(i＝1、2…m，j＝1、2…n)；
Step 3.2: index normalization processing:
step 3.3: calculating the entropy value of the j index:
wherein k is a constant, k >0, ln is a natural logarithm;
step 3.4: and (3) calculating the redundancy degree of the j index:
hj＝1-ej
step 3.5: calculating the entropy weight of the index j:
step 3.6: and (3) calculating the comprehensive toughness score of each power monitoring system:
the invention has the following beneficial effects:
the method establishes four indexes of physical toughness, network toughness, host toughness and application software toughness of the power monitoring system, utilizes an entropy method to evaluate the toughness of the monitoring system, and can realize effective evaluation of the toughness of the power monitoring system. The physical toughness is the basis of toughness analysis of the power monitoring system, and physical protection measures such as physical environment conditions, power supply degree, electromagnetic protection degree and the like are the basis for ensuring power monitoring operation in different stages of network security events; the network toughness reflects the elasticity of a topological structure of the system from the side, and measures such as access control, security audit and the like are adopted to improve the toughness of the system for dealing with emergency security events; the toughness of the host embodies the toughness degree of the power monitoring system in the aspect of host safety, and is the potential capability of the computer-related equipment for resisting safety threat events; the application toughness is the reaction force of the power monitoring service system in response to different stages of the occurrence of the power safety event, and comprises the prevention capacity before the occurrence of the event, the reaction capacity when the safety event occurs and the recovery capacity after the safety event occurs.
The method can also set a management toughness index of the power monitoring system, and based on five major indexes of physical toughness, network toughness, host toughness, application software toughness and management toughness, the toughness of the monitoring system is evaluated by using an entropy method, so that the scientificity and accuracy of the toughness evaluation of the power monitoring system are further ensured.
The method has scientificity, systematicness and operability for selecting the toughness evaluation index of the power monitoring system, effectively ensures effective evaluation of the power monitoring system, and can truly reflect the toughness reaction capability of the power monitoring system under the condition of coping with safety events scientifically; the systematicness and the evaluation index can comprehensively reflect the time and space toughness characteristics of the power monitoring system; the operability and the evaluation index can be qualitatively or quantitatively subjected to statistical analysis so as to conveniently finish the quantification of the toughness evaluation index of the power monitoring system.
Drawings
FIG. 1 is a design route diagram of the toughness evaluation method of the power monitoring system based on the entropy method;
FIG. 2 is a time dimension profile of the present invention;
FIG. 3 is a spatial dimension profile of the present invention.
Detailed Description
The present invention is described in detail with reference to the embodiments shown in the drawings, but it should be understood that these embodiments are not intended to limit the present invention, and those skilled in the art should understand that functional, methodological, or structural equivalents or substitutions made by these embodiments are within the scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, the method for evaluating toughness of an electric power monitoring system based on an entropy method of the present invention includes the following steps:
step 1: and analyzing toughness characteristics of the power monitoring system from two different dimensions of time and space.
Time dimension feature
For toughness analysis of the power monitoring system, the analysis is divided into a time dimension before occurrence of a safety event, a time dimension when the safety event occurs, and a time dimension after the safety event occurs, as shown in fig. 2. Before a security event occurs, the system toughness is mainly embodied as that the system completes related preparation work before the security event occurs by means of measures such as physical isolation of the system, security partitioning of different systems, timing integrity check and the like; when a safety event occurs, the system flexibly reduces the influence of the safety event on the operation of the system by depending on the established response scheme of the system, thereby improving the toughness reaction capability of the system; after a safety event occurs, the system is restored to the normal working state of the system at the fastest speed by starting an emergency scheme and calling a safety management mechanism and related personnel, and the adverse effect on the system is reduced to the maximum extent.
Spatial dimension feature
The toughness analysis of the power monitoring system is characterized in the following four aspects in spatial dimension: physical toughness, network toughness, host toughness, application toughness, as shown in fig. 3. The physical toughness is the basis of toughness analysis of the power monitoring system, and physical protection measures such as physical environment conditions, power supply degree, electromagnetic protection degree and the like are the basis for ensuring power monitoring operation in different stages of network security events; the network toughness reflects the elasticity of a topological structure of the system from the side, and measures such as access control, security audit and the like are adopted to improve the toughness of the system for dealing with emergency security events; the toughness of the host embodies the toughness degree of the power monitoring system in the aspect of host safety, and is the potential capability of the computer-related equipment for resisting safety threat events; the application toughness is the reaction force of the power monitoring service system in response to different stages of the occurrence of the power safety event, and comprises the prevention capacity before the occurrence of the event, the reaction capacity when the safety event occurs and the recovery capacity after the safety event occurs.
Step 2: selecting a plurality of toughness evaluation indexes based on the toughness characteristics, and establishing a toughness evaluation index system for the power monitoring system according to the hierarchical structure of the multi-target decision method;
as shown in table 1 below, five major indexes (a secondary index criterion layer B) of physical toughness, network toughness, host toughness, application software toughness and management toughness of the power monitoring system are set, and based on the five major indexes, an entropy method is used to evaluate the toughness of the monitoring system.
Four subclasses of indexes (three-level index layer C) are set under the physical toughness index, namely the physical environment condition, the power supply stability, the electromagnetic protection safety and the physical equipment access safety.
Four subclasses of indexes (three-level index layer C) are set under the network toughness index, namely intrusion prevention degree, network equipment protection rate, network topology structure and network access security.
Four subclass indexes (three-level index layer C) are set under the toughness of the host, namely encryption authentication degree, host identity authentication condition, host access security and resource control coverage rate.
Four subclass indexes (a third-level index layer C) are set under the toughness of the application software, namely software fault tolerance, software identity authentication, key program backup and software access safety.
Four subclasses of indexes (a three-level index layer C) are set under the management toughness index and are respectively a safety audit period condition, an emergency starting plan formulation condition, a safety management system formulation condition and a system operation and maintenance condition.
In conclusion, 20 subclasses of indexes (three-grade indexes) are set.
TABLE 1 toughness evaluation index system for power monitoring system
And step 3: the quantitative calculation of the index weight is completed by utilizing an entropy method, the weight value of each toughness evaluation index is obtained, and the influence degree of each toughness evaluation index on the system toughness evaluation is judged according to the weight value;
the method for evaluating the toughness of the power monitoring system by using the entropy method comprises the following steps:
step 3.1: constructing an evaluation data matrix: m power monitoring systems are arranged, and if n rating indexes are provided, the original index matrix is Z ═ XijJ (i ═ 1,2 … m, j ═ 1,2 … n); in this embodiment, n is 20.
Step 3.2: index normalization processing:
step 3.3: calculating the entropy value of the j index:
wherein k is a constant, k >0, ln is a natural logarithm;
step 3.4: and (3) calculating the redundancy degree of the j index:
hj＝1-ej
step 3.5: calculating the entropy weight of the index j:
step 3.6: and (3) calculating the comprehensive toughness score of each power monitoring system:
and 4, step 4: and calculating the toughness comprehensive score of the power monitoring system as a toughness quantitative evaluation result of the power monitoring system.
And (3) quantitative result analysis:
by calculating the entropy weights of the index layers Ci (i ═ 1,2.. n), the weighted values of the toughness of the host, the toughness of the network, the physical toughness, the application toughness and the management toughness in the criterion layer can be obtained, the weighted values are the sum of the entropy weights of different indexes of the corresponding index layers, the influence degree of each index layer on the toughness evaluation of the system is judged according to the value, and the importance degree is positively correlated with the value.
By calculating the comprehensive toughness score of each power monitoring system, the toughness of different power monitoring systems under the same evaluation index system can be determined, and the toughness is relatively higher as the score is higher.
Example two:
in the second embodiment, four types of indexes of physical toughness, network toughness, host toughness and application software toughness of the power monitoring system are set, and based on the four types of indexes, an entropy method is used for evaluating the toughness of the monitoring system, that is, 16 small-scale indexes (three-level indexes) are set in total. The rest is the same as the first embodiment.
The above-listed detailed description is only a specific description of a possible embodiment of the present invention, and they are not intended to limit the scope of the present invention, and equivalent embodiments or modifications made without departing from the technical spirit of the present invention should be included in the scope of the present invention.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (9)
1. An electric power monitoring system toughness evaluation method based on an entropy method is characterized by comprising the following steps:
step 1: analyzing toughness characteristics of the power monitoring system from two different dimensions of time and space;
step 2: selecting a plurality of toughness evaluation indexes based on the toughness characteristics, and establishing a toughness evaluation index system for the power monitoring system according to the hierarchical structure of the multi-target decision method;
and step 3: the quantitative calculation of the index weight is completed by utilizing an entropy method, the weight value of each toughness evaluation index is obtained, and the influence degree of each toughness evaluation index on the system toughness evaluation is judged according to the weight value;
and 4, step 4: calculating the toughness comprehensive score of the power monitoring system as a toughness quantitative evaluation result of the power monitoring system;
the time dimension in the step 1 includes before, when and after the security event occurs, and the space dimension includes physical toughness, network toughness, host toughness and application software toughness.
2. An entropy value method-based power monitoring system toughness evaluation method according to claim 1, wherein: the toughness evaluation index comprises the following four indexes: physical toughness, network toughness, host toughness and application software toughness.
3. An entropy value method-based power monitoring system toughness evaluation method according to claim 2, characterized in that: the toughness evaluation index further includes management toughness.
4. An entropy value method-based power monitoring system toughness evaluation method according to claim 2, characterized in that: four subclasses of indexes are set under the physical toughness index, namely physical environment condition, power supply stability, electromagnetic protection safety and physical equipment access safety.
5. An entropy value method-based power monitoring system toughness evaluation method according to claim 2, characterized in that: four subclasses of indexes are set under the network toughness index, namely intrusion prevention degree, network equipment protection rate, network topology structure and network access security.
6. An entropy value method-based power monitoring system toughness evaluation method according to claim 2, characterized in that: four subclass indexes are set under the toughness of the host, namely encryption authentication degree, host identity authentication condition, host access security and resource control coverage rate.
7. An entropy value method-based power monitoring system toughness evaluation method according to claim 2, characterized in that: four subclass indexes are set under the toughness of the application software, namely software fault tolerance rate, software identity authentication condition, key program backup condition and software access safety.
8. An entropy value method-based power monitoring system toughness evaluation method according to claim 3, wherein: four subclasses of indexes are set under the management toughness index, and are respectively a safety audit period condition, an emergency starting plan formulation condition, a safety management system formulation condition and a system operation and maintenance condition.
9. An entropy method-based power monitoring system toughness evaluation method according to any one of claims 1 to 8, wherein the method for evaluating the toughness of the power monitoring system by using the entropy method comprises the following steps:
step 3.1: constructing an evaluation data matrix: m power monitoring systems are arranged, and if n rating indexes are provided, the original index matrix is Z ═ Xij}(i＝1、2…m，j＝1、2…n)；
Step 3.2: index normalization processing:
step 3.3: calculating the entropy value of the j index:
wherein k is a constant, k >0, ln is a natural logarithm;
step 3.4: and (3) calculating the redundancy degree of the j index:
hj＝1-ej
step 3.5: calculating the entropy weight of the index j:
step 3.6: and (3) calculating the comprehensive toughness score of each power monitoring system:
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112258060A (en) * | 2020-10-28 | 2021-01-22 | 中国兵器科学研究院 | Enterprise quality information capability evaluation index system and evaluation method |
| CN113191647A (en) * | 2021-05-06 | 2021-07-30 | 上海应用技术大学 | Urban toughness assessment method for emergency management |
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