Darknet and DoD Networks: Obfuscation, Spoof Detection, and Elimination - Cyber Academic Group
The CAG is the academic home for multi-disciplinary degree & research programs in Cyber Systems and Operations (CSO) working across boundaries to meet challenges in new science and warfare domains.
Highlights
CASPERThis collaborative research effort, dubbed Coupled Air-Sea Processes and EM Ducting Research (CASPER) addresses overarching knowledge gaps related to electromagnetic (EM) wave propagation in coastal Marine Atmospheric Boundary Layers (MABL). The objective is to fully characterize the MABL as an EM propagation environment. |
Hybrid schemes for exact conditional inference in discrete exponential familiesExact conditional goodness-of-fit tests for discrete exponential family models can be conducted via Monte Carlo estimation of p values by sampling from the conditional distribution of multiway contingency tables. The proposed method runs many parallel chains initialized at SIS samples across the fiber. The scheme alleviates many of the challenges faced by the MCMC and SIS schemes individually while largely retaining their strengths. It also provides diagnostics that guide and lend credibility to the procedure. Simulations demonstrate the viability of the approach. |
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Projects
null Darknet and DoD Networks: Obfuscation, Spoof Detection, and Elimination
Prof. Shelley Gallup
The pervasiveness of network traffic lacking attribution inhibits the deterrence of malicious online actors. Without attribution, malicious actors can launch near-anonymous cyber attacks with relative impunity - and may even redirect reprisal. Shortcomings in attribution would be less of a concern if anonymous relay network traffic could be discerned from non-relay traffic and blocked due to its anonymity. This work is a preliminary exploration into statistically identifiable online anonymity characteristics of network traffic. Network traffic characteristics will be observed and analyzed to determine if anonymous relay traffic may be discerned from types of non-relay traffic. The method applies Bayesian logic (using the knowledge of prior events to predict future events) to determine if on line identities originate from anonymous relays by examining three characteristics of anonymous network traffic; 1) network traffic packet header offset 2) logical port continuity 3) network packet round-trip timing.
Centers & Institutes
In addition to cyber education, there are numerous research centers and institutes housed within the academic departments. Centers and institutes provide a laboratory environment where faculty and students can conduct research on some of the Navy’s most difficult challenges. Centers and institutes support single and interdisciplinary efforts bringing together the enormous intellectual capital of NPS.
Centers
- Bucklew Research Center
- Center for Additive Manufacturing (CAM)
- Center for Autonomous Vehicle Research (CAVR)
- Center for Cyber Warfare
- Center for Cybersecurity and Cyber Operations (C3O)
- formerly the Center for Information Systems Security Studies and Research (CISR)
- Center for Infrastructure Defense (CID)
- Center for Joint Services Electronic Warfare
- Center for Materials Research (CMR)
- Center for Modeling Human Behavior (CMHB)
- Center for Multi-INT Studies (CMIS)
- Center for Network Innovation and Experimentation (CENETIX)
- Center on Combating Hybrid Threats (CCHT)
- Common Operational Research Environment (CORE) Lab
- DOD Information Strategy Research Center
- Littoral Operations Center (LOC)
- SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
- Spacecraft Research and Design Center (SRDC)
- TurboPropulsion Laboratory
Institutes
Modeling, Virtual Environments, and Simulation Institute (MOVES)
The MOVES mission is to enhance the operational effectiveness of our joint forces and our allies by providing superior training and exemplary research in the field of modeling and simulation.
Wayne E. Meyer Institute of Systems Engineering
The Meyer Institute provides NPS faculty and students with relevant, tailored, and unique research opportunities in systems engineering and designated warfare areas to support NPS graduate education that increases the combat effectiveness of U.S. and Allied armed forces and enhances the security of the United States.