An information security system capability evaluation method and system based on an effectiveness ring

Abstract

The application discloses an information guarantee system capability evaluation method and system based on an efficiency ring, and the method comprises the following steps: constructing an information guarantee system super network model, normalizing the capability indexes of each network node according to the index types, determining the capability value of each edge in the information guarantee system super network model based on the normalized values obtained by processing, constructing an information efficiency ring with an enemy target as a starting node according to an information guarantee process, and determining the capability value of the information guarantee system based on the total capability value of each type of information guarantee efficiency ring. The information guarantee system capability evaluation is realized by superimposing the capability values of each type of information efficiency ring, the influence of the performance of equipment nodes and the interaction between nodes on the capability of the information guarantee system is fully considered, the calculation speed is higher, the degree of manual participation is higher, the information guarantee system capability evaluation can be realized more efficiently, and support is provided for information system optimization design and equipment system construction.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of system effectiveness evaluation, in particular to an information support system capability evaluation method and system based on effectiveness ring. BACKGROUND

[0002] The information support system is an important component of system operation and a key factor for winning a war. With the development of information technology, the composition structure of the information support system is becoming more complex, and the working mode is becoming more diverse. Therefore, for the increasingly complex information support system, how to scientifically and accurately evaluate its system capability is of great significance for the optimization design and system construction of the information system.

[0003] With the development of complex network and supernetwork scientific theory, scholars found that network models such as supernetwork and complex network can be used to analyze the influence of the interaction between equipment on system capability, therefore, the system capability evaluation based on supernetwork and complex network has attracted widespread attention. For the problem of information support system capability evaluation, the literature [Liu F Z, Xiao B, Jin H B, et al. Early warning information system supernetwork modeling and analysis [J]. Modern Defense Technology, 2019, 47(6): 19-27] models the early warning information support system as a supernetwork, measures and evaluates the system information effectiveness, node importance, and survivability from the perspective of network structure, and proposes the concept of information effectiveness ring, but this method measures the system capability from the network parameters itself and does not consider the performance of the entity equipment nodes. The literature [Yu J T, Xiao B, Xiong J J. Early warning information system capability evaluation based on effectiveness ring [J]. Firepower and Command Control, 2021, 47(2): 32-37] uses the number and path length of the information effectiveness ring as the evaluation index of the system capability, and realizes the evaluation of the information support system capability by calculating the average information effectiveness ring length, but this method also does not consider the performance of the equipment nodes in the effectiveness ring. SUMMARY

[0004] The main purpose of the present application is to provide an information support system capability evaluation method based on effectiveness ring, which aims to solve the technical problem that the current information support system does not consider the performance of the equipment nodes in the effectiveness ring.

[0005] To achieve the above purpose, the present application provides an information support system capability evaluation method based on effectiveness ring, which comprises the following steps:

[0006] S1: constructing an information support system supernetwork model; wherein the information support system supernetwork model comprises a plurality of network nodes and edges connecting the network nodes;

[0007] S2: according to the index type of each network node, normalizing the capability index of the network node, and determining the capability value of each edge in the intelligence guarantee system super network model based on the normalized value obtained in the process;

[0008] S3: constructing an intelligence effectiveness ring with the enemy target as the starting node according to the intelligence guarantee process;

[0009] S4: determining the capability value of the intelligence guarantee system based on the total capability value of each type of intelligence guarantee effectiveness ring.

[0010] Optionally, the step S1 specifically comprises:

[0011] obtaining the equipment information of the enemy target, and constructing an intelligence guarantee system super network model according to the functions of each equipment entity in the intelligence guarantee system;

[0012] The intelligence guarantee system super network model comprises a collection network composed of a plurality of collection nodes S, a processing network composed of a plurality of processing nodes P, a user network composed of a plurality of user nodes U, and a target network composed of a plurality of target nodes T.

[0013] Optionally, the expression of the intelligence guarantee system super network model is specifically:

[0014] G = (V, E)

[0015] V = (Ty, I)

[0016] Wherein, V is a network node, representing each equipment entity, E is an edge, representing the connection relationship between nodes, Ty represents the node type, Ty ∈ {S, P, U, T}, and I is a set of capability indexes of the node.

[0017] Optionally, the index type comprises benefit type and cost type, and in the step S2, according to the index type of each network node, the capability index of the network node is normalized, specifically comprising:

[0018] For the benefit type index, the capability index is normalized, specifically:

[0019]

[0020] For the cost type index, the capability index is normalized, specifically:

[0021]

[0022] Wherein, f, f high , f low and are the actual value, ideal demand value, minimum demand value and normalized value of the capability index, respectively.

[0023] Optionally, in the step S2, based on the obtained normalized values, the capability value of each edge in the intelligence assurance system super network model is determined, specifically including:

[0024] (1) The expression of the capability value of the T→S edge is specifically:

[0025]

[0026] Wherein: and are the detection capability of the collection node and the defense capability value of the target, respectively;

[0027] is expressed as:

[0028]

[0029] Wherein: is the normalized value of the ith index s i , w si is the corresponding weight value;

[0030] is expressed as:

[0031]

[0032] Wherein: is the normalized value of the ith defense index of the node T, w ti is the corresponding weight value;

[0033] (2) The expression of the capability value of the S→P edge is specifically:

[0034]

[0035] Wherein: is the normalized value of the ith communication index between the collection node and the processing node, w spi is the corresponding weight value;

[0036] (3) The expression of the capability value of the P→P edge is specifically:

[0037]

[0038] Wherein: is the normalized value of the ith function index of the node P1, w pi is the corresponding weight value; is the normalized value of the ith communication index between the nodes P1 and P2, w ppi is the corresponding weight value;

[0039] (4) The expression of the capability value of P→U edge, specifically:

[0040]

[0041] (5) The expression of the capability value of U→U edge, specifically:

[0042]

[0043] Wherein: is the communication capability between nodes U1 and U2, is the decision capability value of node U1, expressed as:

[0044]

[0045] Wherein: is the i-th functional index normalized value of node U1, w ui is the corresponding weight value;

[0046] (6) The expression of the capability value of U→T edge is:

[0047]

[0048] Wherein: is the decision capability value of node U, is the defense capability value of the target node.

[0049] Optionally, in the step S4, the expression of the total capability value of each type of intelligence support effectiveness ring is specifically:

[0050] Y TSPUT = tr(A′ TSPUT )

[0051] A′ TSPUT = A′ TS A′ SP A′ PU A′ UT

[0052] Wherein, tr() represents the trace of the matrix, A’ TSPUT is the reaching capability value matrix, A’ TS , A’ SP , A’ PU , A’ UT are respectively the transition matrix between node type T and S, the transition matrix between S and P, the transition matrix between P and U, and the transition matrix between U and T.

[0053] Optionally, in the step S4, the capability value of the intelligence support system is specifically:

[0054]

[0055] N H is the type number of the information effectiveness ring in the information guarantee system.

[0056] In order to achieve the above-mentioned purpose, the application further provides an information guarantee system capability evaluation system based on an effectiveness ring, the system comprising:

[0057] A first construction module is configured to construct an information guarantee system super network model, wherein the information guarantee system super network model comprises a plurality of network nodes and edges connecting the network nodes;

[0058] A first determination module is configured to normalize the capability indicators of the network nodes according to the indicator types of the network nodes, and determine the capability values of each edge in the information guarantee system super network model based on the normalized values obtained through the processing;

[0059] A second construction module is configured to construct an information effectiveness ring with an enemy target as a starting node according to an information guarantee process;

[0060] A second determination module is configured to determine the capability value of the information guarantee system based on the total capability value of each type of information guarantee effectiveness ring.

[0061] The information guarantee system capability evaluation method and system based on an effectiveness ring provided by the embodiment of the application comprise the following steps: constructing an information guarantee system super network model, normalizing the capability indicators of the network nodes according to the indicator types of the network nodes, determining the capability values of each edge in the information guarantee system super network model based on the normalized values obtained through the processing, constructing an information effectiveness ring with an enemy target as a starting node according to an information guarantee process, and determining the capability value of the information guarantee system based on the total capability value of each type of information guarantee effectiveness ring. The information guarantee system capability evaluation method and system based on an effectiveness ring provided by the embodiment of the application can fully consider the influences of the performance of each equipment node and the mutual influences between the nodes on the capability of the information guarantee system by superimposing the capability values of each type of information effectiveness ring, and the calculation speed is faster, the degree of human participation is higher, and the information guarantee system capability evaluation can be more efficiently realized, thereby providing support for the optimization design of the information system and the construction of the equipment system. BRIEF DESCRIPTION OF DRAWINGS

[0062] Figure 1 FIG. 1 is a flowchart of the information guarantee system capability evaluation method based on an effectiveness ring in the application;

[0063] Figure 2 FIG. 2 is an information flow diagram of the information guarantee system in the application;

[0064] Figure 3 FIG. 3 is a schematic diagram of the information guarantee system super network model in the application;

[0065] Figure 4 Fig. 1 is a schematic diagram of a typical information effectiveness loop and a generalized information effectiveness loop in the present application;

[0066] Figure 5 Fig. 2 is a combat concept diagram involved in the present application;

[0067] Figure 6 Fig. 3 is a super network model of an information support system in the present application.

[0068] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0069] It should be understood that the specific embodiments described herein are merely intended to explain the present application, and are not intended to limit the present application.

[0070] At present, in the related technical field, the existing information support system does not consider the performance of equipment nodes in the effectiveness loop.

[0071] In order to solve this problem, various embodiments of the information support system capability evaluation method based on the effectiveness loop of the present application are proposed. The information support system capability evaluation method based on the effectiveness loop provided by the present application proposes an information support system capability evaluation method based on the effectiveness loop in view of the deficiencies in the background art. First, according to the information support process, the equipment nodes and the interaction relationship in the super network of the information support system are modeled. Then, by referring to the observe-orient-decide-act (OODA) combat loop theory, an information effectiveness loop capability value calculation method based on an improved transition matrix is proposed, thereby establishing an information support system capability evaluation model and realizing system capability evaluation. Finally, the effectiveness and rationality of the proposed method are verified through case simulation, and the results show that the method has faster calculation speed and higher efficiency.

[0072] The embodiment of the present application provides an information support system capability evaluation method based on an effectiveness loop. Figure 1 , Figure 1 Fig. 4 is a flowchart of the information support system capability evaluation method based on the effectiveness loop of the present application.

[0073] In the present embodiment, the information support system capability evaluation method based on the effectiveness loop comprises the following steps:

[0074] S1: constructing a super network model of an information support system; wherein the super network model of the information support system comprises a plurality of network nodes and edges connecting the network nodes;

[0075] S2: According to the index type of each network node, the capability index is normalized, and based on the obtained normalized value, the capability value of each edge in the intelligence guarantee system super network model is determined;

[0076] S3: According to the intelligence guarantee process, an intelligence effectiveness ring with the enemy target as the starting node is constructed;

[0077] S4: Based on the total capability value of each type of intelligence guarantee effectiveness ring, the capability value of the intelligence guarantee system is determined.

[0078] Specifically, in the preferred embodiment, the intelligence guarantee system capability evaluation method based on effectiveness ring includes the following detailed steps:

[0079] Step 1: For battlefield targets, the general process of intelligence guarantee is as follows: through reconnaissance and detection of enemy targets, target data is obtained and processed and analyzed to form intelligence products, which are finally distributed to intelligence users to support users in making decisions and disposing targets, and the information flow chart is as shown in Figure 2

[0080] According to the functions and roles of each equipment entity in the intelligence guarantee system, it can be abstracted into four types of network nodes, namely collection nodes (S), processing nodes (P), user nodes (U) and target nodes (T). According to the four types of network nodes and the interdependence between nodes, an intelligence guarantee system super network model containing collection network, processing network, user network and target network can be constructed, and its schematic diagram is as shown in Figure 3

[0081] Step 2: Node V can be represented as:

[0082] V = (Ty, I) (1)

[0083] Where Ty represents the node type, and it is known that Ty ∈ {S, P, U, T}, and I is the capability index set of the node, as shown in Table 1.

[0084] Table 1 Node Capability Index Set Table

[0085]

[0086] Step 3: Calculate the value of the edge in the network:

[0087] Step 3-1: Normalize the indexes in Table 1. The normalization function of the benefit type index is:

[0088]

[0089] ​​where f is the actual value of the capability index, f high , f low are the ideal and minimum demand values of the capability index, respectively, is the normalized value of the capability index.

[0090] The normalized function of the cost-type index is:

[0091]

[0092] where f, f high , f low , and f are the actual value, ideal demand value, minimum demand value, and normalized value of the capability index, respectively.

[0093] Step 3-2: The T→S edge mainly measures the collection node's reconnaissance capability for the enemy target, which is related to the reconnaissance capability of the collection node and the defense capability of the target. The capability value of the T→S edge can be represented as:

[0094]

[0095] where f and f are the reconnaissance capability of the collection node and the defense capability of the target, respectively, where f can be represented as:

[0096]

[0097] where f is the normalized value of the i-th index s i , which can be calculated by step 3-1, and w si is the corresponding weight value.

[0098] can be represented as:

[0099]

[0100] where f is the normalized value of the i-th defense index of node T, and w ti is the corresponding weight value.

[0101] Step 3-3: The capability value of the S→P edge is only related to the communication capability between the collection node and the processing node, and the communication capability index includes transmission rate c1, communication error rate c2, communication capacity c3, and communication delay c4, so the capability value of the S→P edge can be represented as:

[0102]

[0103] where f to collect and process the normalized value of the ith communication index between nodes, w spi is the corresponding weight value.

[0104] Step 3-4: The capability value of the edge P→P and P→U is not only related to the communication capability between nodes, but also related to the processing capability of the processing node. Specifically, taking the edge P1→P2 as an example, first calculate the processing capability of the processing node P1 according to the following formula:

[0105]

[0106] wherein is the ith function index normalized value of the node P1, w pi is the corresponding weight value.

[0107] The communication capability between the nodes P1 and P2 can be expressed as:

[0108]

[0109] wherein is the ith communication index normalized value between the nodes P1 and P2, w ppi is the corresponding weight value.

[0110] The capability value of the edge P1→P2 is:

[0111]

[0112] Similarly, the capability value of the edge P→U is:

[0113]

[0114] Step 3-5: The capability value of the edge U→U depends on the communication capability between nodes and the command decision capability of the user node. Taking the edge U1→U2 as an example, its capability value is:

[0115]

[0116] wherein is the communication capability between the nodes U1 and U2, which is calculated as formula (9), is the decision capability value of the node U1, which can be expressed as:

[0117]

[0118] wherein is the ith function index normalized value of the node U1, w ui is the corresponding weight value.

[0119] Step 3-6: the edge U→T mainly measures the disposal ability of the user to the target, and the value is mainly related to the decision-making ability of the user node and the defense ability of the target. The ability value of the U→T edge can be expressed as:

[0120]

[0121] wherein is the decision-making ability value of the node U, and the calculation formula is shown as formula (13), is the defense ability value of the target node, and the calculation formula is shown as formula (6).

[0122] Step 4: according to the intelligence support process, the intelligence effectiveness ring taking the enemy target as the starting node can be constructed according to the OODA operational cycle theory, as shown in formula (14). The intelligence effectiveness ring is divided into a standard intelligence effectiveness ring and a generalized intelligence effectiveness ring. The standard intelligence effectiveness ring describes the most basic intelligence support process in the intelligence network, including collection, processing, user and target nodes and target reconnaissance, information transmission and target disposal and other interaction relationships. In the actual intelligence support system, there may be information sharing and cooperative processing relationships between processing nodes, and there may be multi-level command and control relationships between user nodes, therefore, the intelligence effectiveness ring including multiple processing nodes cooperative processing or multiple decision-making nodes mutual command and control is defined as the generalized intelligence effectiveness ring. Figure 4

[0123] Step 5: calculate the intelligence effectiveness ring ability value:

[0124] Suppose A IJ is the transition matrix between the node types I and J, and the element a ij is defined as:

[0125]

[0126] wherein i∈I,j∈J.

[0127] Based on the above definition, the application defines the improved transition matrix A' IJ , and the element a' ij is defined as:

[0128]

[0129] wherein C i→j is the ability value of the edge from the node i to j.

[0130] Taking the standard intelligence effectiveness ring T→S→P→U→T as an example, the total ability value of the effectiveness ring of this type in the network is:

[0131] Y TSPUT =tr(A′ TSPUT ) (17)

[0132] ​where tr(·) denotes the trace of a matrix, A′ TSPUT The capability matrix of the information assurance system can be expressed as:

[0133] A′ TSPUT = A′ TS A′ SP A′ PU A′ UT (18)

[0134] After the total capability value of each type of information assurance effectiveness loop is calculated according to step 6, the capability value of the information assurance system is:

[0135]

[0136] where N H is the number of types of information assurance effectiveness loops in the system.

[0137] In order to more clearly explain the present application, the following sets up a simulation verification and analysis to embody the beneficial technical effects achieved by the embodiment.

[0138] Simulation settings:

[0139] It is assumed that the enemy sends enemy aircraft T1 and warships T2 from the sea and air to attack the military port along the coast of our side, and our reconnaissance aircraft S1, early warning aircraft S2, satellite S3, cruiser S4 and coastal ground-based radar S5 search for the enemy targets and transmit the search information to the ground mobile processing center P1, the processing center sends the position information of the targets to the front command center U1 and the rear command center U2 after comprehensive processing and analysis, and each user disposes and attacks the enemy targets, and the combat concept diagram is as shown in Figure 5 .

[0140] According to the combat concept diagram, the information assurance network as shown in Figure 6 can be constructed, since the early warning aircraft has both search and reconnaissance and processing functions, the early warning aircraft is abstracted as a search node S2 and a processing node P2.

[0141] The function indicators of each search node, processing node, user node and target node are shown in Tables 2-5 respectively.

[0142] Table 2 Function indicators of search nodes

[0143]

[0144] Table 3 Function indicators of processing nodes

[0145]

[0146] Table 4 Function indicators of user nodes

[0147]

[0148] Table 5 Target node function index

[0149]

[0150] The node communication capability index is shown in Table 6.

[0151] Table 6 Node communication capability index

[0152]

[0153] According to the above node function and communication index and the super network model, the value of each edge in the network can be obtained, as shown in Table 7.

[0154] Table 7 Value of each edge in the network

[0155]

[0156] Further, according to formula (16), the improved transition matrix is constructed, taking the node and user node as an example, the improved transition matrix A' of which is PU which can be written as:

[0157]

[0158] By observing the intelligence guarantee super network shown in Figure 6 It can be found that there are four types of intelligence effectiveness rings in the network, namely: T→S→P→U→T, T→S→P→P→U→T, T→S→P→U→U→T, T→S→P→P→U→U→T, according to formula (17), the capability value of each type of intelligence effectiveness ring can be calculated as:

[0159] Y TSPUT = tr(A' TSPUT ) = 7.5580

[0160] Y TSPPUT = tr(A' TSPPUT ) = 5.0430

[0161] Y TSPUUT = tr(A' TSPUUT ) = 4.2175

[0162] Y TSPPUUT = tr(A' TSPPUUT ) = 1.8049 (21)

[0163] Therefore, the capability value of the whole system is:

[0164] C = Y TSPUT + YTSPPUT +Y TSPPUT +Y TSPPUUT = 18.6234 (22)

[0165] In conclusion, it can be seen that the method proposed in the present application can effectively evaluate the intelligence support system capability. Since the method does not need to calculate the capability value of each intelligence effectiveness ring, the calculation speed is faster.

[0166] In a preferred embodiment, an intelligence support system capability evaluation system based on effectiveness rings is also provided, and the system comprises:

[0167] A first construction module is configured to construct an intelligence support system hypernetwork model, wherein the intelligence support system hypernetwork model comprises a plurality of network nodes and edges connecting the network nodes;

[0168] A first determination module is configured to normalize the capability indicators of each network node according to the index types of the network nodes, and determine the capability value of each edge in the intelligence support system hypernetwork model based on the normalized values obtained by the processing;

[0169] A second construction module is configured to construct intelligence effectiveness rings with enemy targets as starting nodes according to the intelligence support processes;

[0170] A second determination module is configured to determine the capability value of the intelligence support system based on the total capability value of each type of intelligence support effectiveness ring.

[0171] It should be noted that other embodiments or specific implementation manners of the intelligence support system capability evaluation system based on effectiveness rings of the present application can refer to the above-mentioned method embodiments, and will not be described here.

[0172] The above is only the preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation using the content of the present application specification and drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. An information security system capability evaluation method based on an effectiveness ring, characterized in that, The method comprises the following steps: S1: constructing an intelligence guarantee system hyper-network model; wherein the intelligence guarantee system hyper-network model comprises a plurality of network nodes and edges connecting the network nodes; The step S1 specifically comprises: obtaining equipment information of the enemy target, and constructing the intelligence guarantee system hyper-network model according to the functions of the equipment entities in the intelligence guarantee system; The expression of the intelligence guarantee system hyper-network model is specifically: G=(V,E) V=(Ty,I) Wherein: V is a network node, indicating each equipment entity, E is an edge, indicating the connection relationship between nodes, Ty indicates the node type, Ty∈{S, P, U, T}, and I is a set of capability indexes of the node; Wherein: the construction of the intelligence guarantee system hyper-network model comprises a collection network composed of a plurality of collection nodes S, a processing network composed of a plurality of processing nodes P, a user network composed of a plurality of user nodes U, and a target network composed of a plurality of target nodes T; S2: normalizing the capability indexes of each network node according to the index types thereof, and determining the capability value of each edge in the intelligence guarantee system hyper-network model based on the normalized values obtained; The index types include benefit type and cost type, and in the step S2, the capability indexes of each network node are normalized according to the index types thereof, specifically comprising: For the benefit type index, the capability index is normalized, specifically: For the cost type index, the capability index is normalized, specifically: Wherein: f, f high , f low and are the actual value, ideal demand value, minimum demand value and normalized value of the capability index, respectively; In the step S2, the capability value of each edge in the intelligence guarantee system hyper-network model is determined based on the normalized values obtained, specifically comprising: (1) The expression of the capability value of the T→S edge is specifically: wherein: and respectively are the detection capability of the gathering node and the defense capability value of the target node. is represented as: wherein: is the normalized value of the i-th indicator s i w si is the corresponding weight value; is represented as: wherein: is the i-th defense indicator normalized value for node T, w ti is the corresponding weight value; (2) The expression of the capability value of the S→P edge is specifically: wherein: is a normalized value of the i-th communication metric between the collection node and the processing node, is a corresponding weight value; (3) The expression of the capability value of the P→P edge is specifically: wherein: is the normalized value of the i-th functional indicator for node P1, w pi is the corresponding weight value; is the normalized value of the i-th communication indicator between nodes P1 and P2, is the corresponding weight value; (4) The expression of the capability value of the P→U edge is specifically: (5) The expression of the capability value of the U→U edge is specifically: wherein: is a communication capability between nodes U1 and U2, is a decision capability value of node U1, expressed as: wherein: is the normalized value of the i-th functional indicator of the node U1, w ui is the corresponding weight value; (6) The expression of the capability value of the U→T edge is: wherein: is a decision-making capability value of the node U, is a defense capability value of the target node; S3: constructing an intelligence effectiveness ring with the enemy target as the starting node according to the intelligence guarantee process; S4: determining the capability value of the intelligence guarantee system based on the total capability value of each type of intelligence effectiveness ring; In the step S4, the expression of the total capability value of each type of intelligence effectiveness ring is specifically: Y TSPUT = tr(A' B) = tr(B A') = tr(B A' B) TSPUT ) A′ TSPUT = A′ TS A S ′ P A′ PU A′ UT where tr() denotes the trace of a matrix, A TSPUT is the reachability capability matrix, A TS , A SP , A PU , A UT are the transition matrices between node types T and S, S and P, P and U, and U and T, respectively. In the step S4, the capability value of the intelligence guarantee system is specifically: wherein: N H is the number of types of information effectiveness loops in the information assurance system.

2. An intelligence support system capability evaluation system based on effectiveness ring, characterized by: The system comprises: A first construction module for constructing an intelligence guarantee system hyper-network model; wherein the intelligence guarantee system hyper-network model comprises a plurality of network nodes and edges connecting the network nodes; A first determination module for normalizing the capability indexes of each network node according to the index types thereof, and determining the capability value of each edge in the intelligence guarantee system hyper-network model based on the normalized values obtained; A second construction module for constructing an intelligence effectiveness ring with the enemy target as the starting node according to the intelligence guarantee process; The second determining module is configured to determine the capability value of the intelligence support system based on the total capability value of each intelligence effectiveness ring.

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