Research Summaries

Back Cyberspace ISR Framework for Learning Classification, and Prediction of Hidden Hypercube Cyber Behaviors-Year 3

Fiscal Year 2015
Division Graduate School of Engineering & Applied Science
Department Electrical & Computer Engineering
Investigator(s) Pace, Phillip E.
Sponsor Office of Naval Research (Navy)
Summary The FY15 (Year 3) research objective will be to develop algorithms to cross-register in real-time, the available images for surveillance video, infrared and RF sensor image analysis. Autonomous detection identification and classification techniques will be also developed to enable an enhanced C4ISR capability. Image quality will be analyzed under the presence of cyber infiltration and deception. Recognition of the cyber-attack to the sensor network will trigger an autonomous network infusion extraction that will isolate the deception jammer to the network and execute an image restoration algorithm to reestablish the image quality and image content.
Keywords
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