Raytheon Company

Other

Forcepoint LLC

Raytheon Cyber Products, LLC

Jesse J Lee

Monty D McDougal

William E Sterns

Randy S Jennings

Matthew Richard

Frederic M Newman

Jeffrey C Brown

James Bowmer Story

John S Lear

Brian N Smith

Julian A Zottl

Kevin L Cariker

Steven K Stout

David James Theodore

William L Gilmore

Blake Cameron Sims

Darin J De Rita

Michael K Daly

Darin J DeRita

Andres Rios

Meredith K Peeler

Hyperia Doe

Kevin A Vaughn, Ii

Alfonso Andres Lopez

A plurality of authentication devices form and manage a self-organizing mobile peer-to-peer mesh network to provide robust authentication of mobile peers, humans and or mobile devices such as drones, cars, satellites, robots etc. The mesh network may supplement traditional fixed point of entry authentication to combat social engineering penetrations or be used in situations where fixed-point authentication is not viable. Network efficiency can be enhanced by using two-level encryption, a first level of encryption based on permissions to join a mesh network and a simpler second level of encryption based on knowledge shared with members of the network for communication. Making the permissions a function of location can make the network more robust. Re-authenticating member peers based on the occurrence of defined events can further enhance security.

Self-organizing mobile peer-to-peer mesh network authentication

Generally discussed herein are systems, devices, and methods for malware analysis. In one or more embodiments, a method can include copying application layer data traffic to create copied application layer data traffic, forwarding at least a portion of the application layer data traffic to a destination client prior to a malware analysis of corresponding copied application layer data traffic, determining whether the copied application layer data traffic includes a specified property, and in response to a determination that the copied application layer data traffic includes the specified property, storing the copied application layer data traffic determined to include the specified property for subsequent malware analysis, the stored copied application layer data traffic including context data of the copied application layer data traffic.

Systems and methods for malware analysis of network traffic

A method for handling water and oil automatically monitors and schedules the trucking of waste water between a disposal site and multiple well sites. In some examples, the method automatically detects the presence of a tanker truck at a well site and/or at the disposal site and records the truck's arrival and departure times. In some examples, the method monitors the changing level of waste fluid collected in a waste fluid storage tank at the well site and thereby determines the volume of waste fluid transferred from the tank to the truck. In some examples, the method also estimates the volume of waste fluid transferred from the well bore into the tank while the truck is withdrawing fluid from the tank. In some examples, the method automatically generates and posts online billing information and regulatory reports associated with waste water trucking, waste water disposal and oil reclaiming.

Water handling system

In one embodiment, a method includes identifying, using one or more processors, a plurality of characteristics of a Portable Document Format (PDF) file. The method also includes determining, using the one or more processors, for each of the plurality of characteristics, a score corresponding to the characteristic. In addition, the method includes comparing, using the one or more processors, the determined scores to a first threshold. Based at least on the comparison of the determined scores to the first threshold, the method includes determining, using the one or more processors, that the PDF file is potential malware.

System and method for detecting malware in documents

Intrusion prevention system (IPS) mode is provided for a malware detection system. At least one staging server is provided for intercepting an incoming electronic message, making a copy of the intercepted incoming electronic message, and holding the intercepted incoming electronic message until an analysis of the copy of the intercepted incoming electronic message has been completed or until a timeout threshold has been exceeded. A malware detection system is coupled to the at least one staging server. The at least one malware detection system includes at least one decomposition server for receiving the copy of the intercepted incoming electronic message and processing the copy of the intercepted incoming electronic message to detect malware. Multiple mail queues, e.g., incoming, timeout, jail, decomposition, and outgoing, are used to manage message flows and delay messages while malware analysis is performed.

Intrusion prevention system (IPS) mode for a malware detection system

According to one embodiment, a computer-implemented method for execution on one or more processors includes receiving a first file and determining a file type of the first file. The method also includes determining, according to a first policy, a plurality of malware detection schemes to apply to the first file based on the determined file type of the first file. In addition, the method includes scheduling the application of the determined plurality of malware detection schemes to the first file amongst a plurality of detection nodes according to a second policy. Further, the method includes determining, in response to determining the results of applying the plurality of malware detection schemes, that the first file is malware or determining that the first file is suspected malware according to a third policy.

System and method for malware detection

A computer-implemented method includes accessing, by an analysis console, information related to a first file received at a first host of a plurality of hosts. Each host is capable of running a corresponding set of malware detection processes. The information includes: an identifier of the first file; and data indicating a first result of the first host applying the set of malware detection processes to the first file. The identifier is generated by the first host and is usable by each of the hosts to determine whether a second file comprises content substantially equivalent to content of the first file. The analysis console generates a first output including: the identifier of the first file; and a second result indicating whether the first file comprises malware. The second result is usable by each of the hosts to determine whether the second file comprises malware. The first output is propagated to the hosts.

Multi-nodal malware analysis

In one embodiment, a method includes identifying a plurality of portions of a file and comparing the plurality of portions of the file to a plurality of stored patterns. The plurality of stored patterns include portions of known malware. The method also includes determining, from the plurality of portions of the file and based on the comparing of the plurality of portions of the file to the plurality of stored patterns, a set of matching portions. The set of matching portions include one or more of the plurality of portions of the file. In addition, the method includes determining a score for each portion in the set of matching portions and providing information regarding the set of matching portions. The information includes the scores determined for each portion of the set of matching portions.

Detecting malware using stored patterns

Growing community of inventors

Allen, TX, United States of America

Jesse J Lee