Abstract: A method of assessing parallel random number streams includes mixing two or more parallel random number streams. Mixing the parallel random number streams may include pairing at least one of the random number streams with other random number streams. For each mixed random number stream, an inter-stream correlation value may be computed based on a correlation among the random number steams used. A quality metric for the parallel random number streams may be determined from inter-stream correlation values for the two or more mixed streams created from the parallel random number streams. A quality metric for a single random number stream may be computed by segmenting the single random number stream into multiple substreams and applying the methods of mixing streams and computing quality metric in the case of parallel streams.

Abstract: A method of providing random number streams to a process includes determining two or more program contexts within a process. Each of the program contexts may include code that calls for one or more random numbers. For each of at least two of the program contexts, a random number stream is provided to the process. The random number stream for each program context is based on the determined program context and is distinct from the random number stream for the other program contexts in the process.

Abstract: A method of assessing parallel random number streams includes mixing two or more parallel random number streams. Mixing the parallel random number streams may include pairing at least one of the random number streams with other random number streams. For each mixed random number stream, an inter-stream correlation value may be computed based on a correlation among the random number steams used. A quality metric for the parallel random number streams may be determined from inter-stream correlation values for the two or more mixed streams created from the parallel random number streams. A quality metric for a single random number stream may be computed by segmenting the single random number stream into multiple substreams and applying the methods of mixing streams and computing quality metric in the case of parallel streams.

Abstract: A method of assessing parallel random number streams includes mixing two or more parallel random number streams. Mixing the parallel random number streams may include pairing at least one of the random number streams with other random number streams. For each mixed random number stream, an inter-stream correlation value may be computed based on a correlation among the random number steams used. A quality metric for the parallel random number streams may be determined from inter-stream correlation values for the two or more mixed streams created from the parallel random number streams. A quality metric for a single random number stream may be computed by segmenting the single random number stream into multiple substreams and applying the methods of mixing streams and computing quality metric in the case of parallel streams.

Abstract: A Tamper-Resistant Communication layer (TRC) adapted to mitigate ad hoc network attacks launched by malicious nodes is presented. One embodiment of the invention utilizes TRC, which is a lean communication layer placed between a network layer and the link layer of a network protocol stack. All aspects of the network protocol stack, with the exception of the routing protocol and data packet forwarding mechanism in the network layer, are unchanged. TRC takes charge of certain key functions of a routing protocol in order to minimize network attacks. Additionally, TRC implements highly accurate self-monitoring and reporting functionality that can be used by nodes in the network to detect compromised nodes. TRC of a node controls its ability to communicate with other nodes by providing non-repudiation of communications. The tamper-resistant nature of TRC provides high assurance that it cannot be bypassed or compromised.

Abstract: A Tamper-Resistant Communication layer (TRC) adapted to mitigate ad hoc network attacks launched by malicious nodes is presented. One embodiment of the invention utilizes TRC, which is a lean communication layer placed between a network layer and the link layer of a network protocol stack. All aspects of the network protocol stack, with the exception of the routing protocol and data packet forwarding mechanism in the network layer, are unchanged. TRC takes charge of certain key functions of a routing protocol in order to minimize network attacks. Additionally, TRC implements highly accurate self-monitoring and reporting functionality that can be used by nodes in the network to detect compromised nodes. TRC of a node controls its ability to communicate with other nodes by providing non-repudiation of communications. The tamper-resistant nature of TRC provides high assurance that it cannot be bypassed or compromised.