Abstract: A method for automated computer security policy generation and anomaly detection includes receiving first network traffic data via an input port. The first network traffic data includes multiple data packets. A representation of each of the data packets is stored in a first data store, to produce a set of training data. A set of communication protocols associated with the set of training data is detected, and the training data from the set of training data is restructured based on the set of communication protocols, to produce processed data. The processed data is stored as non-malicious data in a second data store. The first network traffic data is transmitted, in unmodified form, via an output port. Second network traffic data including multiple data packets is subsequently received, via the input port, and compared to the non-malicious data to detect an anomaly in the second network traffic data.

Abstract: A control surface for an aircraft comprise a first skin, a second skin bonded to the first skin, and a stiffening structure located between the first skin and the second skin. The stiffening structure may be formed by forming a plurality of fiber-mandrel sections, stacking the plurality of fiber-mandrel sections to form a fiber-mandrel assembly, and depositing an outer fiber ply around a perimeter of the fiber-mandrel assembly. The control surface may be formed by forming a part layup over a first mold surface, contacting the part layup with a second mold surface, and curing the part layup. Forming the part layup over a first mold surface may include locating a first fiber ply over the first mold surface, locating a plurality stiffening structure assemblies over the first fiber ply, and locating a second fiber ply over the plurality stiffening structure assemblies.

Abstract: A method for automated computer security policy generation and anomaly detection includes receiving first network traffic data via an input port. The first network traffic data includes multiple data packets. A representation of each of the data packets is stored in a first data store, to produce a set of training data. A set of communication protocols associated with the set of training data is detected, and the training data from the set of training data is restructured based on the set of communication protocols, to produce processed data. The processed data is stored as non-malicious data in a second data store. The first network traffic data is transmitted, in unmodified form, via an output port. Second network traffic data including multiple data packets is subsequently received, via the input port, and compared to the non-malicious data to detect an anomaly in the second network traffic data.

Abstract: A system for computer data security via entropy and disinformation-based information dispersal. The system embodies deconstructing a data object into a superset of randomly sized shards and then, on a per shard basis, randomly choosing an encryption algorithm, randomly generating an encryption key, and initialization vector where appropriate, applying the randomly chosen encryption algorithm, generating an unique identifier to use for shard storage, placing at random offsets data distortion via randomly generated disinformation, and retrievably storing a superset of shards meta-data in a structured format.