Research Summaries

Back Data Mining and Blockchain for Computer Network Defense

Fiscal Year 2019
Division Graduate School of Engineering & Applied Science
Department Electrical & Computer Engineering
Investigator(s) McEachen, II, John C.
Sponsor National Security Agency (DoD)
Summary This research will investigate the use of emerging techniques in data mining and blockchain to support efforts in Computer Network Defense. Blockchain is a transformative approach for leveraging consensus in distributed computational systems to provide unparalleled decentralized and redundant security. Three primary objectives will be pursued in this research: 1) development of algorithms for establishing activity profiles with the intent of detecting deviations from these profiles; 2) the development of a blockchain with smart contracts to use in the detection malicious or abnormal activity in a network; and 3) development of data mining techniques using graph theoretical techniques for identifying associations in intrusion data. This research will support the dissertations of LCDRs Ashely McAbee and LCDR Jamie Safar and the Master’s thesis research of LCDR Stephanie Perdino and LTJG Vikram Kanth.
Keywords blockchain computer network defense intrusion detection
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal