31 research outputs found

    Trends in Detection and Characterization of Propaganda Bots

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    Since the revelations of interference in the 2016 US Presidential elections, the UK’s Brexit referendum, the Catalan independence vote in 2017 and numerous other major political discussions by malicious online actors and propaganda bots, there has been increasing interest in understanding how to detect and characterize such threats.We focus on some of the recent research in algorithms for detection of propaganda botnets and metrics by which their impact can be measure

    Quantifying Location Privacy in Urban Next-Generation Cellular Networks

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    With urbanization and cellular subscribership rising sharply, cellular use in urban locales has become a normative behavior for the majority of the world’s population. As the research community pushes the limits of what is possible in the next generation cellular arena, it is prudent to simultaneously hold in tension the responsibility to provide appropriate protections to the ultimate end users of such technology. To this end, this research illustrates a location-based attack in modern cellular networks. This attack leverages control information sent over the radio access network without the benefit of encryption. We show how this attack is particularly potent in urban localization where it is important to infer location in three dimensions. We quantify the efficacy of such an attack, and therefore the associated location privacy, through simulation both in a generic cellular environment and in an environment modeled after downtown Honolulu. Our results show that accuracy on the order of 15 meters is possible

    All-Domain Sensor Network Orchestration from Seabed-to-Space

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    NPS NRP Project PosterThe DoD seeks to conduct all-domain operations, requiring Intelligence Surveillance and Reconnaissance (ISR) across all domains of conflict. For the Navy, this uniquely includes the deep seabed, undersea, sea surface, air, space and cyberspace operations. All-Domain ISR encompasses and integrates information from all domains of the maritime environment, sensors and sources from seabed-to-space, to provide commanders with the most complete picture of adversary activities. This capability supports the Navy approach to Distributed Maritime Operations (DMO), an operational concept that enables widely dispersed naval units to perform sensing, command and control and weapon activities such that the distributed platforms act as a coherent whole. All-domain ISR requires a network to enable widely dispersed sensors to exchange and combine sensor data (the fusion of data) to provide a complete understanding of the operational picture, and to provide targeting information for long-range engagement required by DMO. This research studies the diverse sensor access time horizons, sensor mode options, observation feasibilities, and relative contribution of all-domain sensors (seabed-to-space) which pose a significant mathematical and computational challenge to achieve all-domain ISR. Furthermore, the delays from sensing to fusion across such a wide range of sensors can diminish the contribution of some combinations of sensing modes. The study also evaluates the distribution of fusion nodes across an all-domain network to improve the delivery of information across the network.Naval Information Warfare Center Pacific (NIWC Pacific)ASN(RDA) - Research, Development, and AcquisitionThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

    Orchestrated Autonomous Maritime Collection

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    Seed Research Program 2023. A Quad, describing CRUSER Seed Research Program funded research.CRUSER Funded ResearchFY23 Funded Research ProposalConsortium for Robotics and Unmanned Systems Education and Research (CRUSER

    All-Domain Sensor Network Orchestration from Seabed-to-Space

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    NPS NRP Executive SummaryThe DoD seeks to conduct all-domain operations, requiring Intelligence Surveillance and Reconnaissance (ISR) across all domains of conflict. For the Navy, this uniquely includes the deep seabed, undersea, sea surface, air, space and cyberspace operations. All-Domain ISR encompasses and integrates information from all domains of the maritime environment, sensors and sources from seabed-to-space, to provide commanders with the most complete picture of adversary activities. This capability supports the Navy approach to Distributed Maritime Operations (DMO), an operational concept that enables widely dispersed naval units to perform sensing, command and control and weapon activities such that the distributed platforms act as a coherent whole. All-domain ISR requires a network to enable widely dispersed sensors to exchange and combine sensor data (the fusion of data) to provide a complete understanding of the operational picture, and to provide targeting information for long-range engagement required by DMO. This research studies the diverse sensor access time horizons, sensor mode options, observation feasibilities, and relative contribution of all-domain sensors (seabed-to-space) which pose a significant mathematical and computational challenge to achieve all-domain ISR. Furthermore, the delays from sensing to fusion across such a wide range of sensors can diminish the contribution of some combinations of sensing modes. The study also evaluates the distribution of fusion nodes across an all-domain network to improve the delivery of information across the network.Naval Information Warfare Center Pacific (NIWC Pacific)ASN(RDA) - Research, Development, and AcquisitionThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

    All-Domain Sensor Network Orchestration from Seabed-to-Space

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    NPS NRP Technical ReportThe DoD seeks to conduct all-domain operations, requiring Intelligence Surveillance and Reconnaissance (ISR) across all domains of conflict. For the Navy, this uniquely includes the deep seabed, undersea, sea surface, air, space and cyberspace operations. All-Domain ISR encompasses and integrates information from all domains of the maritime environment, sensors and sources from seabed-to-space, to provide commanders with the most complete picture of adversary activities. This capability supports the Navy approach to Distributed Maritime Operations (DMO), an operational concept that enables widely dispersed naval units to perform sensing, command and control and weapon activities such that the distributed platforms act as a coherent whole. All-domain ISR requires a network to enable widely dispersed sensors to exchange and combine sensor data (the fusion of data) to provide a complete understanding of the operational picture, and to provide targeting information for long-range engagement required by DMO. This research studies the diverse sensor access time horizons, sensor mode options, observation feasibilities, and relative contribution of all-domain sensors (seabed-to-space) which pose a significant mathematical and computational challenge to achieve all-domain ISR. Furthermore, the delays from sensing to fusion across such a wide range of sensors can diminish the contribution of some combinations of sensing modes. The study also evaluates the distribution of fusion nodes across an all-domain network to improve the delivery of information across the network.Naval Information Warfare Center Pacific (NIWC Pacific)ASN(RDA) - Research, Development, and AcquisitionThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

    Introduction to the Minitrack on Cyber Systems and Analytics

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    52nd Hawaii International Conference on System Sciences, 2019Cyber Systems and associated analytics will enable a future where secure, cognitive technologies anticipate long- and short-term information needs, perceptively coordinate and adapt distributed sensors, and deliver timely and accurate information and recommendations to humans and machines. Effective designs will require machine-to-human, human-to-machine, and machine-to-machine collaboration. This minitrack invites original, technical research in the subject area
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