Defense Advanced Research Projects AgencyTagged Content List

Resilience and Robustness

Enabling technologies and systems to preserve effectiveness despite damage or other challenging conditions

Showing 67 results for Resilience RSS
Commercial Test and Measurement equipment has advanced greatly with the emergence of sophisticated cellular and wireless local area network technology and can be used to intercept, analyze and exploit our military communications signals.
The Cross-Domain Maritime Surveillance and Targeting (CDMaST) program seeks to identify and implement architectures consisting of novel combinations of manned and unmanned systems to deny ocean environments to adversaries as a means of projecting power. By exploiting promising new developments in unmanned systems along with emerging long-range weapon systems, the program aims to develop an advanced, integrated undersea and above-sea warfighting capability able to execute long-range attacks against submarines and ships over large contested maritime areas.
The rapid pace of innovation in software and hardware over the past three decades has produced computational systems that, despite security improvements, remain stubbornly vulnerable to attack. Although clean-sheet design can produce fundamental security improvements that gradually diffuse into the installed base, this process can take years.
As commercial technologies become more advanced and widely available, adversaries are rapidly developing capabilities that put our forces at risk. To counter these threats, the U.S. military is developing systems-of-systems concepts in which networks of manned and unmanned platforms, weapons, sensors, and electronic warfare systems interact over robust satellite and tactical communications links. These approaches offer flexible and powerful options to the warfighter, but the complexity introduced by the increase in the number of employment alternatives creates a battle management challenge.
FunCC aims to uncover fundamental principles of resilient self-organized complex systems applicable to domains spanning autonomous systems to biological networks, the immune system, and ecosystems. The dynamics and evolution of complex collectives are explored using new frameworks that embrace agent heterogeneity, stochasticity, distributed control, and diffusion of (mis)information.