System and method for extracting configuration-related information for reasoning about the security and functionality of a composed internet of things system
Embodiments provide a system and method for extracting configuration-related information for reasoning about the security and functionality of a composed system. During operation, the system determines, by a computing device, information sources associated with hardware and software components of a system, wherein the information sources include at least specification sheets, standard operating procedures, user manuals, and vulnerability databases. The system selects a set of categories of vulnerabilities in a vulnerability database, and ingests the information sources to obtain data in a normalized format. The system extracts, from the ingested information sources, configuration information, vulnerability information, dependency information, and functionality requirements to create a model for the system. The system displays, on a screen of a user device, one or more interactive elements which allow the user to view or select the information sources and the categories of vulnerabilities, initiate ingesting the information sources, and view the extracted configuration information.
1. A computer-implemented method, comprising:
determining, by a computing device, information sources associated with hardware and software components of a system,
wherein the information sources include at least specification sheets, standard operating procedures, user manuals, and vulnerability databases;
selecting a set of categories of vulnerabilities in a vulnerability database;
ingesting the information sources to obtain data in a normalized format;
extracting, from the ingested information sources, configuration information, vulnerability information, dependency information, and functionality requirements to create a model for the system,
wherein the system comprises an Internet of Things (IoT) system which comprises a configuration graph, an attack graph, and a dependency graph, and
wherein the extracted configuration information is used to generate the configuration graph, the extracted vulnerability information is used to generate the vulnerability graph, and the extracted dependency information is used to generate the dependency graph; and
displaying, on a screen of a user device, one or more interactive elements which allow the user to view or select the information sources and the categories of vulnerabilities, initiate ingesting the information sources, and view the extracted configuration information.
2. The method of claim 1 , wherein the extracted configuration information includes, for a configuration parameter of a component of the system, one or more of:
a name of the configuration parameter;
a data type associated with the configuration parameter;
a default value associated with the configuration parameter;
a current value associated with the configuration parameter;
a range of possible values associated with the configuration parameter; and
a natural language text description associated with the configuration parameter.
3. The method of claim 2 , further comprising:
analyzing the natural language text description associated with the configuration parameter, which involves:
determining, based on a relevancy metric, which portions of the natural language text description are relevant; and
determining from the relevant portions further constraints on the configuration parameters, wherein the constraints include one or more of:
equality constraints; inequality constraints; membership in a set; and
ranges for the configuration parameter.
4. The method of claim 1 , wherein the extracted vulnerability information includes one or more of:
a first set of software vulnerabilities obtained from the vulnerability databases, wherein a category of vulnerabilities in the vulnerability database is associated with a type and a name, and wherein the selected categories are associated with configuration-related vulnerabilities;
a second set of security bad practices based on expert knowledge or specified by user input; and
a third set of security not-best practices based on expert knowledge or specified by user input.
5. The method of claim 4 ,
wherein the first set of software vulnerabilities include Common Vulnerability and Exposure (CVE) entries from the National Vulnerability Database, and
wherein a CVE entry of the first set is associated with a Common Weakness Enumeration Specification (CWE) identifier and is further categorized as a configuration-related vulnerability.
6. The method of claim 1 , wherein the extracted dependency information includes one or more of:
input from the user or another user; and
a third party tool for discovering service dependencies based on observation of network traffic and analysis of call graph.
7. The method of claim 1 , wherein the functionality requirements include one or more of:
parameter range constraints specifying legitimate ranges of values which can be assigned to a respective configuration parameter, wherein the parameter range constraints are obtained from the extracted configuration information; and
functionality and performance requirements ingested based on input from the user via a graphical interface on the screen of the user device.
8. The method of claim 1 ,
wherein the system includes a setting which prioritizes functionality or security, wherein the setting is passed to a reasoning module to determine whether a set of constraints associated with one or more of the components is mutually compatible.
9. The method of claim 8 ,
wherein the setting comprises a weighted value for a subset of one of more components, wherein the weighted value is assigned by the user or based on a default or other system setting.
10. The method of claim 1 , wherein the one or more displayed interactive elements further allow the user to view one or more of:
the extracted vulnerability information;
the extracted dependency information; and
the extracted functionality requirements.
11. A computer system, the system comprising:
a processor; and
a storage device storing instructions that when executed by the processor cause the processor to perform a method, the method comprising:
determining, by a computing device, information sources associated with hardware and software components of a system,
wherein the information sources include at least specification sheets, standard operating procedures, user manuals, and vulnerability databases;
selecting a set of categories of vulnerabilities in a vulnerability database;
ingesting the information sources to obtain data in a normalized format;
extracting, from the ingested information sources, configuration information, vulnerability information, dependency information, and functionality requirements to create a model for the system,
wherein the system comprises an Internet of Things (IoT) system which comprises a configuration graph, an attack graph, and a dependency graph, and
wherein the extracted configuration information is used to generate the configuration graph, the extracted vulnerability information is used to generate the vulnerability graph, and the extracted dependency information is used to generate the dependency graph; and
displaying, on a screen of a user device, one or more interactive elements which allow the user to view or select the information sources and the categories of vulnerabilities, initiate ingesting the information sources, and view the extracted configuration information.
12. The computer system of claim 11 , wherein the extracted configuration information includes, for a configuration parameter of a component of the system, one or more of:
a name of the configuration parameter;
a data type associated with the configuration parameter;
a default value associated with the configuration parameter;
a current value associated with the configuration parameter;
a range of possible values associated with the configuration parameter; and
a natural language text description associated with the configuration parameter.
13. The computer system of claim 12 , wherein the method further comprises:
analyzing the natural language text description associated with the configuration parameter, which involves:
determining, based on a relevancy metric, which portions of the natural language text description are relevant; and
determining from the relevant portions further constraints on the configuration parameters, wherein the constraints include one or more of:
equality constraints; inequality constraints; membership in a set; and
ranges for the configuration parameter.
14. The computer system of claim 11 , wherein the extracted vulnerability information includes one or more of:
a first set of software vulnerabilities obtained from the vulnerability databases, wherein a category of vulnerabilities in the vulnerability database is associated with a type and a name, and wherein the selected categories are associated with configuration-related vulnerabilities;
a second set of security bad practices based on expert knowledge or specified by user input; and
a third set of security not-best practices based on expert knowledge or specified by user input,
wherein the first set of software vulnerabilities include Common Vulnerability and Exposure (CVE) entries from the National Vulnerability Database, and
wherein a CVE entry of the first set is associated with a Common Weakness Enumeration Specification (CWE) identifier and is further categorized as a configuration-related vulnerability.
15. The computer system of claim 11 , wherein the functionality requirements include one or more of:
parameter range constraints specifying legitimate ranges of values which can be assigned to a respective configuration parameter, wherein the parameter range constraints are obtained from the extracted configuration information; and
functionality and performance requirements ingested based on input from the user via a graphical interface on the screen of the user device.
16. The computer system of claim 11 ,
wherein the system includes a setting which prioritizes functionality or security, wherein the setting is passed to a reasoning module to determine whether a set of constraints associated with one or more of the components is mutually compatible.
17. The computer system of claim 11 , wherein the one or more displayed interactive elements further allow the user to view one or more of:
the extracted vulnerability information;
the extracted dependency information; and
the extracted functionality requirements.
18. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method, the method comprising:
determining, by a computing device, information sources associated with hardware and software components of a system,
wherein the information sources include at least specification sheets, standard operating procedures, user manuals, and vulnerability databases;
selecting a set of categories of vulnerabilities in a vulnerability database;
ingesting the information sources to obtain data in a normalized format;
extracting, from the ingested information sources, configuration information, vulnerability information, dependency information, and functionality requirements to create a model for the system,
wherein the system comprises an Internet of Things (IoT) system which comprises a configuration graph, an attack graph, and a dependency graph, and
wherein the extracted configuration information is used to generate the configuration graph, the extracted vulnerability information is used to generate the vulnerability graph, and the extracted dependency information is used to generate the dependency graph; and
displaying, on a screen of a user device, one or more interactive elements which allow the user to view or select the information sources and the categories of vulnerabilities, initiate ingesting the information sources, and view the extracted configuration information.