Defense Advanced Research Projects AgencyTagged Content List

Technologies for Trustworthy Computing and Information

Confidence in the integrity of information and systems

Showing 35 results for Trust RSS
To be effective, Department of Defense (DoD) cybersecurity solutions require rapid development times. The shelf life of systems and capabilities is sometimes measured in days. Thus, to a greater degree than in other areas of defense, cybersecurity solutions require that DoD develops the ability to build quickly, at scale and over a broad range of capabilities.
The Clean-Slate Design of Resilient, Adaptive, Secure Hosts (CRASH) program will pursue innovative research into the design of new computer systems that are highly resistant to cyber-attack, can adapt after a successful attack to continue rendering useful services, learn from previous attacks how to guard against and cope with future attacks, and can repair themselves after attacks have succeeded. Exploitable vulnerabilities originate from a handful of known sources (e.g., memory safety); they remain because of deficits in tools, languages and hardware that could address and prevent vulnerabilities at the design, implementation and execution stages.
| Cyber | Trust |
Unreliable software places huge costs on both the military and the civilian economy. Currently, most Commercial Off-the-Shelf (COTS) software contains about one to five bugs per thousand lines of code. Formal verification of software provides the most confidence that a given piece of software is free of errors that could disrupt military and government operations. Unfortunately, traditional formal verification methods do not scale to the size of software found in modern computer systems. Formal verification also currently requires highly specialized engineers with deep knowledge of software technology and mathematical theorem-proving techniques.
| Cyber | Formal | Trust |
Embedded computing systems are ubiquitous in critical infrastructure, vehicles, smart devices, and military systems. Conventional wisdom once held that cyberattacks against embedded systems were not a concern since they seldom had traditional networking connections on which an attack could occur. However, attackers have learned to bridge air gaps that surround the most sensitive embedded systems, and network connectivity is now being extended to even the most remote of embedded systems.
| Cyber | Formal | Trust |
Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machine’s current inability to explain their decisions and actions to human users (Figure 1). The Department of Defense (DoD) is facing challenges that demand more intelligent, autonomous, and symbiotic systems. Explainable AI—especially explainable machine learning—will be essential if future warfighters are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.