Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: Techniques for graph-based handling of service requests are disclosed. The techniques include: receiving a service request that requires at least one resource from multiple available resources; computing a graph-based opportunity cost metric associated with satisfying the service request; and handling the service request based at least on the graph-based opportunity cost metric.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.