BEHAVIORAL COMPOSITION FOR HETEROGENEOUS SWARMS

Research into swarm robotics has produced a robust library of swarm behaviors that excel at defined tasks such as flocking and area search, many of which have potential for application to a wide range of military problems. However, to be successfully applied to an operational environment, swarms must be flexible enough to achieve a wide array of specific objectives and usable enough to be configured and employed by lay operators. This research explored the use of the Mission-based Architecture for Swarm Composability (MASC) to develop mission-specific tactics as compositions of more general, reusable plays for use with the Advanced Robotic Systems Engineering Laboratory (ARSENL) swarm system. Three tactics were developed to conduct autonomous search of a geographic area and investigation of generated contacts of interest. The tactics were tested in live-flight and virtual environment experiments and compared to a preexisting monolithic behavior implementation completing the same task. Measures of performance were defined and observed that verified the effectiveness of solutions and confirmed the advantages that composition provides with respect to reusability and rapid development of increasingly complex behaviors.Lieutenant Commander, United States NavyApproved for public release. Distribution is unlimited

UTILIZING THE MESSAGING LAYER SECURITY PROTOCOL IN A LOSSY COMMUNICATIONS AERIAL SWARM

Recent advancements in unmanned aerial vehicle (UAV) capabilities have led to increasing research into swarming systems. Tactical employment of UAV swarms, however, will require secure communications. Unfortunately, efforts to date have not resulted in viable secure communications frameworks. Furthermore, the limited processing power and constrained networking environments that characterize these systems preclude the use of many existing secure group communications protocols. Recent research in secure group communications indicates that the Messaging Layer Security (MLS) protocol might provide an attractive option for these types of systems. This thesis documents the integration of MLS into the Advanced Robotic Systems Engineering Laboratory (ARSENL) UAV swarm system. The ARSENL implementation is intended as a proof-of-concept demonstration of the efficacy of MLS for secure swarm communications. Implementation test results are presented both for experiments conducted in a simulation environment and experiments with physical UAVs. These results indicate that MLS is suitable for a swarm, with the caveat that testing did not implement a delivery mechanism to ensure reliable packet delivery. For future work, mitigation of unreliable communications paths is required if a reliable MLS system is to be maintained.Civilian, CyberCorps: Scholarship for ServiceApproved for public release. Distribution is unlimited

Utilizing the Messaging Layer Security Protocol in a Lossy Communications Aerial Swarm

Recent advancements in unmanned aerial vehicle (UAV) capabilities have led to increasing research into swarming systems. Unfortunately, efforts to date have not resulted in viable secure communications frameworks, and the limited processing power and constrained networking environments that characterize these systems preclude the use of many existing secure group communications protocols. The Messaging Layer Security (MLS) protocol, currently under development at the Internet Engineering Task Force (IETF), offers some attractive properties for these types of systems. This work looks at integrating MLS into the Advanced Robotic Systems Engineering Laboratory (ARSENL) UAV swarm system as a means of assessing its efficacy. Implementation test results are presented both for experiments conducted in a simulation environment and with physical UAVs

ARSENL Breaks Previous Records, Flies 20 Autonomous UAVs

Faculty Showcase Archive ArticleA team of faculty and researchers at the Naval Postgraduate School (NPS) is setting what are believed to be world records in the realm of unmanned aerial vehicles (UAVs).Approved for public release; distribution is unlimited

DESIGN AND IMPLEMENTATION OF A DISTRIBUTED LEDGER TO SUPPORT DATA SURVIVABILITY IN AN UNMANNED MULTI-VEHICLE SYSTEM

Autonomous vehicle systems, including multi-vehicle systems, are becoming increasingly relevant in military operations. A problem emerges, however, when logging data within these systems. In particular, loss of individual vehicles and inherently lossy and noisy communications environments can result in the loss of important mission data. This thesis presents a novel distributed ledger protocol that can be used to ensure that the data in such a system survives. To test the efficacy of the protocol, we implemented it as a Robot Operating System (ROS) node on the Advanced Robotic Systems Engineering Laboratory (ARSENL) aerial swarm system. Results are presented for implementation tests in the ARSENL software-in-the-loop simulation environment and during live-flight field experiments conducted at Camp Roberts, CA.Outstanding ThesisCivilian, CyberCorps: Scholarship for ServiceApproved for public release. distribution is unlimite

Update NPS / June 2015

NPS Welcomes Acquisition Professionals; BizLibrary Offers Staff Development Opportunities; NPS Students Build Mission Assurance Tool for National La

Arabic Opinion Mining Using a Hybrid Recommender System Approach

Recommender systems nowadays are playing an important role in the delivery of services and information to users. Sentiment analysis (also known as opinion mining) is the process of determining the attitude of textual opinions, whether they are positive, negative or neutral. Data sparsity is representing a big issue for recommender systems because of the insufficiency of user rating or absence of data about users or items. This research proposed a hybrid approach combining sentiment analysis and recommender systems to tackle the problem of data sparsity problems by predicting the rating of products from users reviews using text mining and NLP techniques. This research focuses especially on Arabic reviews, where the model is evaluated using Opinion Corpus for Arabic (OCA) dataset. Our system was efficient, and it showed a good accuracy of nearly 85 percent in predicting rating from review

Update NPS / November 2012

NPS Graduate Honored with Navy's Stockdale Leadership Award; Army's Cyber Commander Explores NPS Education, Research Programs; Student Dissertation Looks at Privatization of Global Securit