Information Innovation Office (I2O)

Historically, the U.S. Government deployed and operated a variety of collection systems that provided imagery with assured integrity. In recent years however, consumer imaging technology (digital cameras, mobile phones, etc.) has become ubiquitous, allowing people the world over to take and share images and video instantaneously. Mirroring this rise in digital imagery is the associated ability for even relatively unskilled users to manipulate and distort the message of the visual media. More

The Memex program seeks to develop the next generation of search technologies and revolutionize the discovery, organization and presentation of search results. More

As computing devices become more pervasive, the software systems that control them have become increasingly more complex and sophisticated. Consequently, despite the tremendous resources devoted to making software more robust and resilient, ensuring that programs are correct—especially at scale—remains a difficult and challenging endeavor. Unfortunately, uncaught errors triggered during program execution can lead to potentially crippling security violations, unexpected runtime failure or unintended behavior, all of which can have profound negative consequences on economic productivity, reliability of mission-critical systems, and correct operation of important and sensitive cyber infrastructure. More

The February 2011 Federal Cloud Computing Strategy released by the U.S. Chief Information Officer reinforces the United States Government’s plans to move information technology away from traditional workstations and toward cloud computing environments. Where compelling incentives to do this exist, security implications of concentrating sensitive data and computation into computing clouds have yet to be fully addressed. The perimeter defense focus of traditional security solutions is not sufficient to secure existing enclaves. It could be further marginalized in cloud environments where there is a huge concentration of homogeneous hosts on high-speed networks without internal checks, and with implicit trust among hosts within those limited perimeter defenses. More

The goal of the Modeling Adversarial Activity (MAA) program is to develop mathematical and computational techniques for modeling adversarial activity for the purpose of producing high-confidence indications and warnings of efforts to acquire, fabricate, proliferate, and/or deploy weapons of mass terror (WMTs). MAA assumes that an adversary’s WMT activities will result in observable transactions. More