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The views expressed in this report are those of the author and do not reflect the official policy or position of the Department of Defense or the United States Government. ; An algorithm to fuse redundant observations due to multiple sensor coverage, in order to reduce duplicate track information provided to Vessel Traffic Services (VTS) operator displays, is reported. The algorithm receives inputs from multiple sensors as long as the basic decision criteria elements are provided. The algorithm is tested with real data collected from the VTS system at Puget Sound in September 1996. The results indicate that the algorithm correctly fuses redundant sensor observations on the same vessel resulting in a significant reduction in the amount of unnecessary information presented to the VTS operator. ; U.S. Coast Guard Command Control Engineering Center, Portsmouth, VA. ; U.S. Coast Guard Command Control Engineering Center ; N6600197WR00229 ; Approved for public release; distribution is unlimited.

17 USC 105 interim-entered record; under temporary embargo. ; U.S. Government affiliation is unstated in article text.

17 USC 105 interim-entered record; under temporary embargo. ; U.S. Government affiliation is unstated in article text.

17 USC 105 interim-entered record; under temporary embargo. ; Proceedings of the 54th Hawaii International Conference on System Sciences 2021 ; U.S. Government affiliation is unstated in article text.

17 USC 105 interim-entered record; under temporary embargo. ; As everyone knows, this has been an unusual year. In-person meetings, including this conference, have gone entirely online. This minitrack, which first appeared in 2005, will be entirely online and asynchronous in 2021. ; U.S. Government affiliation is unstated in article text.

17 USC 105 interim-entered record; under temporary embargo. ; Cyber attacks are amongst the most serious threats facing people and organizations. In the face of the increasing complexity and effectiveness of these attacks, creative approaches to defense are required. Groups of insects survive due to their use of collaborative approaches with the unique ability to detect anomalies using primarily local data and very limited computational resources (i.e., limited brain power). These attributes are even more crucial for wireless ad hoc networks where the number of nodes and connections between those nodes are ephemeral. We propose a trust framework inspired by the detection mechanisms exhibited by bee swarms in which a wireless node can only observe and leverage the actions of their neighbors rather than the global knowledge of the network to make a decision. This leveraging of local knowledge is an important aspect of trust in wireless networks in which global state information is difficult to encapsulate. We also utilize models from binary voting to present a straightforward mathematical model for our bee-inspired trust framework in wireless ad hoc networks. ; U.S. Government affiliation is unstated in article text.

In this paper, the authors review documented problems in military intelligence that appear well suited for improvement via blockchain technology. We review guidance from the literature related to determining blockchain technology applicability and propose a decision aid tailored to military intelligence perspectives. We also propose applying batch queueing theory to enable initial feasibility studies and present analysis toward the first known case study of military intelligence incorporation of blockchain technology, a project reviewing blockchain applicability to an intelligence database that stores geographic locations of units of interest.

17 USC 105 interim-entered record; under temporary embargo. ; For moving target defense (MTD) to shift advantage away from cyber attackers, we need techniques which render systems unpredictable but still manageable. We formulate a partially observable Markov decision process (POMDP) which facilitates optimized MTD capable of thwarting cyber attacks without excess overhead. This paper describes POMDP formulation including the use of an absorbing final state and attack penalty scaling factor to abstract defender-defined priorities into the model. An autonomous agent leverages the POMDP to select the optimal defense based on assessed cyber-attack phase. We offer an example formulation wherein attack suppression of greater than 99% and system availability of greater than 94% were maintained even as probability of detection of attack phase dropped to 74%. ; U.S. Government affiliation is unstated in article text.

17 USC 105 interim-entered record; under temporary embargo. ; Innovative solutions need to be developed to defend against the continued threat of computer worms. We propose the spectral graph theory worm detection model that utilizes traffic dispersion graphs, the strong node concept, and phantom components to create detection thresholds in the eigenspectrum of the dual basis. This detection method is employed in our proposed model to quickly and accurately detect worm attacks with different attack characteristics. It also intrinsically identifies infected nodes, potential victims, and estimates the worm scan rate. We test our model against the worm-free NPS2013 dataset, a modeled Blaster worm, and the WannaCry CTU-Malware-Capture-Botnet-284-1 and CTU-Malware-Capture-Botnet-285-1 datasets. Our results show that the spectral graph theory worm detection model has better performance rates compared to other models reviewed in literature. ; U.S. Government affiliation is unstated in article text.

The article of record as published may be found at http://hdl.handle.net/10125/60038 ; Proceedings of the 52nd Hawaii International Conference on System Sciences ; In this paper, the authors review documented problems in military intelligence that appear well suited for improvement via blockchain technology. We review guidance from the literature related to determining blockchain technology applicability and propose a decision aid tailored to military intelligence perspectives. We also propose applying batch queueing theory to enable initial feasibility studies and present analysis toward the first known case study of military intelligence incorporation of blockchain technology, a project reviewing blockchain applicability to an intelligence database that stores geographic locations of units of interest.