This blog post is the seventh and final installment in a series on Agile adoption in regulated settings, such as the Department of Defense, Internal Revenue Service, and Food and Drug Administration.
Organizations and federal agencies seeking to adopt Agile often struggle because they do not understand the adoption risks involved when contemplating the use of Agile approaches. This ongoing series on Readiness and Fit Analysis (RFA) focuses on helping federal agencies, such as the Department of Defense, the Internal Revenue Service, the Food and Drug Administration, and other organizations in regulated settings, understand the risks involved when contemplating or embarking on a new approach to developing or acquiring software. This blog post, the seventh in a series, explores issues related to the technology environment that organizations should consider when adopting Agile approaches.
Dynamic Network Defense (or Moving Target Defense) is based on a simple premise: a moving target is harder to attack than a stationary target. In recent years the government has invested substantially into moving target and adaptive cyber defense. This rapidly growing field has seen recent developments of many new technologies--defenses that range from shuffling of client-to-server assignments to protect against distributed denial-of-service (DDOS) attacks, to packet header rewriting, to rebooting servers. As researchers develop new technologies, they need a centralized reference platform where new technologies can be vetted to see where they complement each other and where they do not, as well as a standard against which future technologies can be evaluated. This blog post describes work led by researchers at the SEI's Emerging Technology Center (ETC) to develop a secure, easy-to-use, consistent development and deployment path to organize dynamic defenses.
Much of the malware that we analyze includes some type of remote access capability. Malware analysts broadly refer to this type of malware as a remote access tool (RAT). RAT-like capabilities are possessed by many well-known malware families, such as DarkComet. As described in this series of posts, CERT researchers are exploring ways to automate common malware analysis activities. In a previous post, I discussed the Pharos Binary Analysis Framework and tools to support reverse engineering object-oriented code. In this post, I will explain how to statically characterize program behavior using application programming interface (API) calls and then discuss how we automated this reasoning with a malware analysis tool that we call ApiAnalyzer.
In cyber systems, the identities of devices can easily be spoofed and are frequent targets of cyber-attacks. Once an identity is fabricated, stolen or spoofed it may be used as a nexus to systems, thus forming a Sybil Attack. To address these and other problems associated with identity deception researchers at the Carnegie Mellon University Software Engineering Institute, New York University's Tandon School of Engineering and Courant Institute of Mathematical Sciences, and the University of Göttingen (Germany), collaborated to develop a deception-resistant identity management system inspired by biological systems; namely, ant colonies. This blog post highlights our research contributions.