chg: [exclusive] Set exclusive meta for relevant taxonomies

PAP/machinetag.json

@@ -2,7 +2,8 @@
   "namespace": "PAP",
   "expanded": "Permissible Actions Protocol",
   "description": "The Permissible Actions Protocol - or short: PAP - was designed to indicate how the received information can be used.",
-  "version": 1,
+  "version": 2,
+  "exclusive": true,
   "predicates": [
     {
       "value": "RED",

admiralty-scale/machinetag.json

@@ -1,15 +1,17 @@
 {
   "namespace": "admiralty-scale",
   "description": "The Admiralty Scale or Ranking (also called the NATO System) is used to rank the reliability of a source and the credibility of an information. Reference based on FM 2-22.3 (FM 34-52) HUMAN INTELLIGENCE COLLECTOR OPERATIONS and NATO documents.",
-  "version": 4,
+  "version": 5,
   "predicates": [
     {
       "value": "source-reliability",
-      "expanded": "Source Reliability"
+      "expanded": "Source Reliability",
+      "exclusive": true
     },
     {
       "value": "information-credibility",
-      "expanded": "Information Credibility"
+      "expanded": "Information Credibility",
+      "exclusive": true
     }
   ],
   "values": [

ais-marking/machinetag.json

@@ -1,23 +1,27 @@
 {
   "namespace": "ais-marking",
   "description": "The AIS Marking Schema implementation is maintained by the National Cybersecurity and Communication Integration Center (NCCIC) of the U.S. Department of Homeland Security (DHS)",
-  "version": 1,
+  "version": 2,
   "predicates": [
     {
       "value": "TLPMarking",
-      "expanded": "TLP Marking"
+      "expanded": "TLP Marking",
+      "exclusive": true
     },
     {
       "value": "AISConsent",
-      "expanded": "AIS Consent"
+      "expanded": "AIS Consent",
+      "exclusive": true
     },
     {
       "value": "CISA_Proprietary",
-      "expanded": "CISA Proprietary"
+      "expanded": "CISA Proprietary",
+      "exclusive": true
     },
     {
       "value": "AISMarking",
-      "expanded": "AIS Marking"
+      "expanded": "AIS Marking",
+      "exclusive": true
     }
   ],
   "values": [

binary-class/machinetag.json

@@ -1,7 +1,8 @@
 {
   "namespace": "binary-class",
   "description": "Custom taxonomy for types of binary file.",
-  "version": 1,
+  "exclusive": true,
+  "version": 2,
   "predicates": [
     {
       "value": "type",

economical-impact/machinetag.json

@@ -2,7 +2,7 @@
   "namespace": "economical-impact",
   "expanded": " Economical Impact",
   "description": "Economical impact is a taxonomy to describe the financial impact as positive or negative gain to the tagged information (e.g. data exfiltration loss, a positive gain for an adversary).",
-  "version": 3,
+  "version": 4,
   "refs": [
     "https://www.misp-project.org/"
   ],
@@ -112,12 +112,14 @@
     {
       "value": "loss",
       "expanded": "Loss",
-      "description": "A financial impact evaluated as a casuality."
+      "description": "A financial impact evaluated as a casuality.",
+      "exclusive": true
     },
     {
       "value": "gain",
       "expanded": "Gain",
-      "description": "A financial impact evaluated as a benefit."
+      "description": "A financial impact evaluated as a benefit.",
+      "exclusive": true
     }
   ]
 }

estimative-language/machinetag.json

@@ -2,17 +2,19 @@
   "namespace": "estimative-language",
   "expanded": "Estimative languages",
   "description": "Estimative language to describe quality and credibility of underlying sources, data, and methodologies based Intelligence Community Directive 203 (ICD 203) and JP 2-0, Joint Intelligence",
-  "version": 4,
+  "version": 5,
   "predicates": [
     {
       "value": "likelihood-probability",
       "expanded": "Likelihood or probability",
-      "description": "Properly expresses and explains uncertainties associated with major analytic judgments: Analytic products should indicate and explain the basis for the uncertainties associated with major analytic judgments, specifically the likelihood of occurrence of an event or development, and the analyst's confidence in the basis for this judgment. Degrees of likelihood encompass a full spectrum from remote to nearly certain. Analysts' confidence in an assessment or judgment may be based on the logic and evidentiary base that underpin it, including the quantity and quality of source material, and their understanding of the topic. Analytic products should note causes of uncertainty (e.g., type, currency, and amount of information, knowledge gaps, and the nature of the issue) and explain how uncertainties affect analysis (e.g., to what degree and how a judgment depends on assumptions). As appropriate, products should identify indicators that would alter the levels of uncertainty for major analytic judgments. Consistency in the terms used and the supporting information and logic advanced is critical to success in expressing uncertainty, regardless of whether likelihood or confidence expressions are used."
+      "description": "Properly expresses and explains uncertainties associated with major analytic judgments: Analytic products should indicate and explain the basis for the uncertainties associated with major analytic judgments, specifically the likelihood of occurrence of an event or development, and the analyst's confidence in the basis for this judgment. Degrees of likelihood encompass a full spectrum from remote to nearly certain. Analysts' confidence in an assessment or judgment may be based on the logic and evidentiary base that underpin it, including the quantity and quality of source material, and their understanding of the topic. Analytic products should note causes of uncertainty (e.g., type, currency, and amount of information, knowledge gaps, and the nature of the issue) and explain how uncertainties affect analysis (e.g., to what degree and how a judgment depends on assumptions). As appropriate, products should identify indicators that would alter the levels of uncertainty for major analytic judgments. Consistency in the terms used and the supporting information and logic advanced is critical to success in expressing uncertainty, regardless of whether likelihood or confidence expressions are used.",
+      "exclusive": true
     },
     {
       "value": "confidence-in-analytic-judgment",
       "expanded": "Confidence in analytic judgment",
-      "description": "Confidence in a judgment is based on three factors:   number of key assumptions required, the credibility and diversity of sourcing in the knowledge base, and the strength of argumentation. Each factor should be assessed independently and then in concert with the other factors to determine the confidence level. Multiple judgments in a product may contain varying levels of confidence. Confidence levels are stated as Low, Moderate, and High."
+      "description": "Confidence in a judgment is based on three factors:   number of key assumptions required, the credibility and diversity of sourcing in the knowledge base, and the strength of argumentation. Each factor should be assessed independently and then in concert with the other factors to determine the confidence level. Multiple judgments in a product may contain varying levels of confidence. Confidence levels are stated as Low, Moderate, and High.",
+      "exclusive": true
     }
   ],
   "values": [

euci/machinetag.json

@@ -1,7 +1,8 @@
 {
   "namespace": "euci",
   "description": "EU classified information (EUCI) means any information or material designated by a EU security classification, the unauthorised disclosure of which could cause varying degrees of prejudice to the interests of the European Union or of one or more of the Member States.",
-  "version": 2,
+  "version": 3,
+  "exclusive": true,
   "predicates": [
     {
       "value": "TS-UE/EU-TS",

false-positive/machinetag.json

@@ -1,18 +1,20 @@
 {
   "namespace": "false-positive",
   "description": "This taxonomy aims to ballpark the expected amount of false positives.",
-  "version": 3,
+  "version": 4,
   "expanded": "False positive",
   "predicates": [
     {
       "value": "risk",
       "expanded": "Risk",
-      "description": "Risk of having false positives in the tagged value."
+      "description": "Risk of having false positives in the tagged value.",
+      "exclusive": true
     },
     {
       "value": "confirmed",
       "expanded": "Confirmed",
-      "description": "Confirmed false positives in the tagged value."
+      "description": "Confirmed false positives in the tagged value.",
+      "exclusive": true
     }
   ],
   "values": [
@@ -38,6 +40,21 @@
           "numerical_value": 25
         }
       ]
+    },
+    {
+      "predicate": "confirmed",
+      "entry": [
+        {
+          "value": "true",
+          "description": "The false positive is confirmed.",
+          "numerical_value": 0
+        },
+        {
+          "value": "false",
+          "description": "The flase positive is not confirmed.",
+          "numerical_value": 50
+        }
+      ]
     }
   ]
 }

flesch-reading-ease/machinetag.json

@@ -1,7 +1,8 @@
 {
   "namespace": "flesch-reading-ease",
   "description": "Flesch Reading Ease is a revised system for determining the comprehension difficulty of written material. The scoring of the flesh score can have a maximum of 121.22 and there is no limit on how low a score can be (negative score are valid).",
-  "version": 1,
+  "version": 2,
+  "exclusive": true,
   "predicates": [
     {
       "value": "score",

fr-classif/machinetag.json

@@ -61,8 +61,7 @@
       "exclusive": true
     }
   ],
-  "version": 2,
+  "version": 3,
   "description": "French gov information classification system",
-  "namespace": "fr-classif",
-  "exclusive": true
+  "namespace": "fr-classif"
 }