Distributed assured network system (DANS)
First Claim
1. A method for a distributed assured network system, comprising the steps of:
- distributing monitoring nodes (MN) to sequentially monitor and collect information sources to be checked for the presence or absence of misbehavior, the MN providing MN observations from the content of the monitored information sources;
providing a detection agent to employ an optimal sequential probability ratio test (SPRT) to process the MN observations to ensure both bounded false alarm and miss detection outputs relative to the content of the information source;
providing a reputation agent to process the output from said detection agent to predict the expected future behavior of said information sources based upon the known past behavior thereof; and
providing a trust indicator responsive to an output from said reputation agent to form and manage a quantifiable trust model based upon historical behavioral expectation and collaborative filtering received from said reputation agent, the trust model being indicative of the trustworthiness of the information sources.
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Abstract
A computerized method for a distributed assured network system includes a plurality distributed monitoring nodes for sequential feeding the content of respective information sources to a detection agent. The detection agent uses an SPRT-based distributed sequential misbehavior detection scheme to process each MN observation with the probability of a false alarm
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Citations
17 Claims
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1. A method for a distributed assured network system, comprising the steps of:
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distributing monitoring nodes (MN) to sequentially monitor and collect information sources to be checked for the presence or absence of misbehavior, the MN providing MN observations from the content of the monitored information sources; providing a detection agent to employ an optimal sequential probability ratio test (SPRT) to process the MN observations to ensure both bounded false alarm and miss detection outputs relative to the content of the information source; providing a reputation agent to process the output from said detection agent to predict the expected future behavior of said information sources based upon the known past behavior thereof; and providing a trust indicator responsive to an output from said reputation agent to form and manage a quantifiable trust model based upon historical behavioral expectation and collaborative filtering received from said reputation agent, the trust model being indicative of the trustworthiness of the information sources. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for an assured network system comprising the steps of:
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distributing monitoring nodes (MN) to sequentially monitor and collect information sources to be checked for the presence or absence of misbehavior, the MN providing MN observations from the content of the monitored information sources; providing a detection agent to employ an optimal sequential probability ratio test (SPRT) to process the MN observations to ensure both bounded false alarm and miss detection outputs relative to the content of the information source; providing a reputation agent to process the output from said detection agent to predict the expected future behavior of said information sources based upon the known past behavior thereof; and providing a trust indicator responsive to an output from said reputation agent to form and manage a quantifiable trust model based upon historical behavioral expectation and collaborative filtering received from said reputation agent, the trust model being indicative of the trustworthiness of the information sources; wherein said information sources are unattended wireless sensors within transmission range of MN; and said detection agent SPRT processing steps include; receiving the MN collected information; receiving both the P FA (probability of a false alarm), and theP MD (probability of a miss detection), for each MN observation;computing from both the P FA and theP MD applied against the MN observations, both the lower threshold λ
L and the upper threshold λ
U based on acceptableP FA andP MD;computing for each MN observation the log likelihood ratio λ
η
to determine the behavior of the monitored information sources defined as follows; - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A method for an assured network system comprising the steps of:
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distributing monitoring nodes (MN) to sequentially monitor and collect information sources to be checked for the presence or absence of misbehavior, the MN providing MN observations from the content of the monitored information sources; providing a detection agent to employ an optimal sequential probability ratio test (SPRT) to process the MN observations to ensure both bounded false alarm and miss detection outputs relative to the content of the information source; providing a reputation agent to process the output from said detection agent to predict the expected future behavior of said information sources based upon the known past behavior thereof; and providing a trust indicator responsive to an output from said reputation agent to form and manage a quantifiable trust model based upon historical behavioral expectation and collaborative filtering received from said reputation agent, the trust model being indicative of the trustworthiness of the information sources; wherein said information sources are unattended wireless sensors within transmission range of MN; and said detection agent SPRT processing steps include; receiving the MN collected information; receiving both the P FA (probability of a false alarm), and theP MD (probability of a miss detection), for each MN observation;computing from both the P FA and theP MD applied against the MN observations, both the lower threshold λ
L and the upper threshold μ
U based on acceptableP FA andP MD;computing for each MN observation the log likelihood ratio λ
η
to determine the behavior of the monitored information sources defined as follows;
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Specification