So what if I take over a botnet to do my research?
Thursday, October 6, 2011
As computers and networks are increasingly intertwined in our lives, security and network research present issues both similar to and distinct from those faced by social and biomedical research in terms of respecting persons, maximizing potential benefits while minimizing harm, and equitably apportioning benefits and burdens across research subjects and the larger society. For those issues that are distinctively different from conventional research there is a need for ethical guidance in identifying unique issues, designing experiments, applying protocols, and assessing the acceptability of research in accordance with ethics principles.
This presentation will discuss a multi-year effort by network and security research stakeholders to provide a guiding framework, based on the principles set forth in the 1979 Belmont Report, a seminal guide for ethical research in the biomedical and behavioral sciences. This guiding new framework is known as The Menlo Report Several case studies will be presented and discussed with the audience.
Dr. Douglas Maughan is the Division Director of the Cyber Security Division within the Homeland Security Advanced Research Projects Agency (HSARPA) within the Science and Technology (S&T) Directorate of the Department of Homeland Security (DHS). Dr. Maughan is directing the Cyber Security Research and Development activities at DHS S&T. His research interests and related programs are in all areas of networking and information assurance. Dr. Maughan has been responsible for helping bring to market over 20 commercial and open-source information security products during the past 8 years while at DHS. Earlier, Dr. Maughan was a Program Manager at the Defense Advanced Research Projects Agency (DARPA) in Arlington, Virginia., and before that Dr. Maughan worked for the National Security Agency (NSA) as a senior computer scientist and led several research teams performing network security research.
Dr. Maughan received Bachelor's Degrees in Computer Science and Applied Statistics from Utah State University, a Masters degree in Computer Science from Johns Hopkins University, and a PhD in Computer Science from the University of Maryland, Baltimore County (UMBC)