Abstract: Disclosed herein are techniques for analyzing hardware change impacts based on at least one functional line-of-code behavior and relation model. Techniques include identifying a new hardware component associated with a system; accessing a first line-of-code behavior and relation model representing execution of functions using the new hardware component; accessing a second line-of-code behavior and relation model representing execution of functions on a previous hardware component of the system; performing a functional differential comparison of the first line-of-code behavior and relation model to the second line-of-code behavior and relation model; determining, based on the functional differential comparison, a status of functional equivalence between the new hardware component and the previous hardware component; and generating, based on the determined difference, a report identifying the status of functional equivalence.

Abstract: Disclosed herein are techniques for visualizing and configuring controller function sequences.

Abstract: Disclosed herein are techniques for identifying software dependencies based on functional line-of-code behavior and relation models. Techniques include accessing a first line-of-code behavior and relation model representing execution of functions of a first portion of executable code, the first portion of executable code being associated with a first symbol; detecting a change to the first portion of executable code; constructing, based on the changed first portion of executable code, a second line-of-code behavior and relation model representing execution of functions of the changed first portion of executable code; determining, based on the constructed second model, a dependency between (i) the changed first portion of executable code or the first symbol and (ii) a second symbol; and generating, based on the determined difference, a report identifying the dependency.

Abstract: Disclosed herein are techniques for identifying sources of software-based malfunctions. Techniques include identifying a potential software malfunction in a system, the system having multiple code sets associated with a plurality of different software sources; accessing a line-of-code behavior and relation model representing execution of functions of the code sets; identifying, based on the line-of-code behavior and relation model, a code set determined to have the potential to cause, a least in part, the potential software malfunction; and determining a source identifier of the identified code set.

Abstract: Disclosed herein are techniques for identifying software interdependencies based on functional line-of-code behavior and relation models. Techniques include identifying a first portion of executable code associated with a first controller, accessing a functional line-of-code behavior and relation model representing functionality of the first portion of executable code and a second portion of executable code; determining, based on the functional line-of-code behavior and relation model, that the second portion of executable code is interdependent with the first portion of executable code; and generating, based on the determined interdependency, a report identifying the interdependent first portion of executable code and second portion of executable code.

Abstract: Disclosed herein are techniques for generating and signing line-of-code behavior and relation models. Techniques include identifying executable code for a controller; performing a functional analysis of the executable code to determine a plurality of functions associated with the executable code and a plurality of relationships between the plurality of functions; generating, based on the determined plurality of functions and plurality of relationships, a line-of-code behavior and relation model for the executable code; performing a signature operation on the generated line-of-code behavior and relation model to produce a unique signature value associated with at least one of: the line-of-code behavior and relation model or a functional block of the line-of-code behavior and relation model; and linking the unique signature value to the line-of-code behavior and relation model.

Abstract: Disclosed herein are techniques for using a line-of-code behavior and relation model to determine software functionality changes. Techniques include identifying a first portion of executable code and a second portion of executable code; accessing a first line-of-code behavior and relation model representing execution of functions of the first portion of executable code; constructing, based on the second portion of executable code, a second line-of-code behavior and relation model representing execution of functions of the second portion of executable code; performing a functional differential comparison of the first line-of-code behavior and relation model to the second line-of-code behavior and relation model; determining, based on the functional differential comparison, a status of functional equivalence between the first portion of executable code and the code portion of executable code; and generating, based on the determined difference, a report identifying the status of functional equivalence.

Abstract: Disclosed herein are techniques for identifying software interdependencies based on functional line-of-code behavior and relation models. Techniques include identifying a first portion of executable code associated with a first controller; accessing a functional line-of-code behavior and relation model representing functionality of the first portion of executable code and a second portion of executable code; determining, based on the functional line-of-code behavior and relation model, that the second portion of executable code is interdependent with the first portion of executable code; and generating, based on the determined interdependency, a report identifying the interdependent first portion of executable code and second portion of executable code.

Abstract: Disclosed herein are techniques for analyzing control-flow integrity based on functional line-of-code behavior and relation models. Techniques include receiving data based on runtime operations of a controller; constructing a line-of-code behavior and relation model representing execution of functions on the controller based on the received data; constructing, based on the line-of-code behavioral and relation model, a dynamic control flow integrity model configured for the controller to enforce in real-time; and deploying the dynamic control flow integrity model to the controller.

Abstract: Disclosed herein are techniques for visualizing and configuring controller function sequences.

Abstract: Disclosed herein are techniques for generating and signing line-of-code behavior and relation models. Techniques include identifying executable code for a controller; performing a functional analysis of the executable code to determine a plurality of functions associated with the executable code and a plurality of relationships between the plurality of functions; generating, based on the determined plurality of functions and plurality of relationships, a line-of-code behavior and relation model for the executable code; performing a signature operation on the generated line-of-code behavior and relation model to produce a unique signature value associated with at least one of: the line-of-code behavior and relation model or a functional block of the line-of-code behavior and relation model; and linking the unique signature value to the line-of-code behavior and relation model.

Abstract: Disclosed herein are techniques for using a line-of-code behavior and relation model to determine software functionality changes. Techniques include identifying a first portion of executable code and a second portion of executable code; accessing a first line-of-code behavior and relation model representing execution of functions of the first portion of executable code; constructing, based on the second portion of executable code, a second line-of-code behavior and relation model representing execution of functions of the second portion of executable code; performing a functional differential comparison of the first line-of-code behavior and relation model to the second line-of-code behavior and relation model; determining, based on the functional differential comparison, a status of functional equivalence between the first portion of executable code and the code portion of executable code; and generating, based on the determined difference, a report identifying the status of functional equivalence.

Abstract: A processing device in one embodiment comprises a processor coupled to a memory and is configured to generate access profiles for respective user identifiers, to obtain data characterizing a current access for a given one of the user identifiers, to extract a plurality of features from the data characterizing the current access for the given user identifier, and to generate feature risk scores based on the extracted features and the access profile for the given user identifier. The processing device is further configured to aggregate the feature risk scores into a composite risk score. The aggregation illustratively comprises weighting the feature risk scores utilizing automatically-set feature risk score weights. The composite risk score is compared to a threshold, and an alert is generated relating to the current access based on a result of comparing the composite risk score to the threshold.

Abstract: Disclosed herein are techniques for analyzing control-flow integrity based on functional line-of-code behavior and relation models. Techniques include receiving data based on runtime operations of a controller; constructing a line-of-code behavior and relation model representing execution of functions on the controller based on the received data; constructing, based on the line-of-code behavioral and relation model, a dynamic control flow integrity model configured for the controller to enforce in real-time; and deploying the dynamic control flow integrity model to the controller.

Abstract: Disclosed herein are techniques for visualizing and configuring controller function sequences.

Abstract: Disclosed herein are techniques for identifying software dependencies based on functional line-of-code behavior and relation models. Techniques include accessing a first line-of-code behavior and relation model representing execution of functions of a first portion of executable code, the first portion of executable code being associated with a first symbol; detecting a change to the first portion of executable code; constructing, based on the changed first portion of executable code, a second line-of-code behavior and relation model representing execution of functions of the changed first portion of executable code; determining, based on the constructed second model, a dependency between (i) the changed first portion of executable code or the first symbol and (ii) a second symbol; and generating, based on the determined difference, a report identifying the dependency.

Abstract: Disclosed herein are techniques for identifying software interdependencies based on functional line-of-code behavior and relation models. Techniques include identifying a first portion of executable code associated with a first controller, accessing a functional line-of-code behavior and relation model representing functionality of the first portion of executable code and a second portion of executable code; determining, based on the functional line-of-code behavior and relation model, that the second portion of executable code is interdependent with the first portion of executable code; and generating, based on the determined interdependency, a report identifying the interdependent first portion of executable code and second portion of executable code.

Abstract: Disclosed herein are techniques for identifying software dependencies based on functional line-of-code behavior and relation models. Techniques include accessing a first line-of-code behavior and relation model representing execution of functions of a first portion of executable code, the first portion of executable code being associated with a first symbol; detecting a change to the first portion of executable code; constructing, based on the changed first portion of executable code, a second line-of-code behavior and relation model representing execution of functions of the changed first portion of executable code; determining, based on the constructed second model, a dependency between (i) the changed first portion of executable code or the first symbol and (ii) a second symbol; and generating, based on the determined difference, a report identifying the dependency.

Abstract: Disclosed herein are techniques for generating and signing line-of-code behavior and relation models. Techniques include identifying executable code for a controller; performing a functional analysis of the executable code to determine a plurality of functions associated with the executable code and a plurality of relationships between the plurality of functions; generating, based on the determined plurality of functions and plurality of relationships, a line-of-code behavior and relation model for the executable code; performing a signature operation on the generated line-of-code behavior and relation model to produce a unique signature value associated with at least one of: the line-of-code behavior and relation model or a functional block of the line-of-code behavior and relation model; and linking the unique signature value to the line-of-code behavior and relation model.

Abstract: Disclosed herein are techniques for identifying sources of software-based malfunctions. Techniques include identifying a potential software malfunction in a system, the system having multiple code sets associated with a plurality of different software sources; accessing a line-of-code behavior and relation model representing execution of functions of the code sets; identifying, based on the line-of-code behavior and relation model, a code set determined to have the potential to cause, a least in part, the potential software malfunction; and determining a source identifier of the identified code set.