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Wireless analytics

Developing the next-generation of secure wireless technologies

Wireless analytics and design

Securing wireless networks against attacks presents a much more complex set of challenges than for wired networks. Unlike wired networks which can be physically secured, wireless networks are inherently open to snooping due to their use of the wireless medium, which is accessible to all. Wireless control protocols are likewise more vulnerable to attack due to a much higher level of complexity and the need for all devices to cooperate and participate in network control. Our researchers are working on the following innovations in securing and designing wireless networks:

  • Wireless network defense: We are applying our wireless networking expertise to the analysis of wireless networks and to the enhancement of wireless network robustness by developing techniques to detect and mitigate attacks against wireless control plane protocols

  • Cognitive Network Engineering Design Analytic Toolset (CNEDAT): We have developed a Cognitive Network Engineering Design Analytic Toolset (CNEDAT) that uses formal network science technologies to:

    • Synthesize network designs/plans based on information such as mission objectives/goals, constraints and resource availability

    • Analyze performance of alternative network plans. Via its Automated Design Manager (ADM) module, CNEDAT automatically generates a “good” design for the network based on the design choices available to a network designer

  • Robust networking in denied environments: We are developing distributed autonomy algorithms to enable a team of unmanned airborne systems (UASs) to collaborate and conduct operations in contested or denied airspace. Our solution consists of mechanisms to enhance the robustness of the network formed by a team of UASs in contested environments to facilitate inter-UAS collaboration in the face of hostile, as well as stochastic, disturbances to network connectivity, and to provide protection to the subset of mission-critical, high-priority applications during periods of unavoidable disruptions to the network

  • Low power tactical communications (LPTC): We have developed solutions to reduce battery power consumption of handheld and manpack soldier radios. In particular, we have developed solutions for reducing power consumption in the widely-used Soldier Radio Waveform (SRW). Our LPTC solution includes the ability to:

    • Create and maintain a low-power topology based on mission objectives and constraints via our distributed Power-aware Topology Control (PTC) algorithms

    • Reduce ‘chattiness’ of the SRW

    • Selectively power down components when no over-the-air comms exist

  • Modeling and simulation of wireless networks: Modeling and simulation is a cost-effective technique while designing and analyzing pros and cons of alternative solutions for wireless networks and assessing scalability. To this end we have developed high-fidelity models of our wireless networking solutions using a variety of simulation and emulation techniques such as ns-2, ns-3, EMANE, OPNET and QualNet