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What, how, and when? A hybrid system approach to multi-region search and rescue

What, how, and when? A hybrid system approach to multi-regio...

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open architecture/open business model net-centric systems and defense transformation 2023

作者： Haggerty, Patrick V. Strasser, Ben A. Bloch, Anthony J. Kuntz, Eva M. General Dynamics Mission Systems BloomingtonMN United States

ISBN: (纸本)9781510662049

Multi agent hybrid dynamical systems are a natural model for collaborative missions in which several steps and behaviors are required to achieve the goal of the mission. Missions are tasks featuring interacting subtasks, such as the decision of where to search, how to search, and when to transition from a search behavior to a rescue behavior. Control in hybrid systems is poorly understood. Theoretical results on state reachability rely on restrictive assumptions which hinder formal verification and optimization of such systems. Further difficulties arise if there are no a priori ordering or termination conditions on the intermediate steps and behaviors. We present a flexible framework to enable decentralized multi agent hybrid control and demonstrate its efficacy in a class of multi-region search and rescue scenarios. We also demonstrate the importance of dynamic target modeling at both levels of the hybrid state, i.e. estimating which region targets are in, how search behavior affects this estimate, and how the targets move between and within regions. © 2023 SPIE.

关键词： Hybrid systems

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The Implementation of Modular, Extensible, Interoperable Autonomy (MEIA) for an ArduCopter-Equipped Drone Executing Various Missions

The Implementation of Modular, Extensible, Interoperable Aut...

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open architecture/open business model net-centric systems and defense transformation 2023

作者： Bloch, Anthony Gitto, Alexandra Guerrero, Jeraldin Janney, Mark Strasser, Benjamin General Dynamics Mission Systems 8800 Queen Avenue S MinneapolisMN55431 United States General Dynamics Mission Systems 425 John Quincy Adams Road TauntonMA02780 United States General Dynamics Mission Systems 8220 E. Roosevelt St. ScottsdaleAZ85257 United States

ISBN: (纸本)9781510662049

We take the first step to demonstrate the feasibility of using Modular, Extensible, Interoperable Autonomy (MEIA) to support the Internet of Military Things (IoMT) by implementing MEIA for an Aurelia drone. We set up a pipeline for autonomy development (PAD) which includes tools and processes that facilitate autonomy development. We implement both the middleware and internal data management to run our MEIA solution which includes the autonomy algorithms capable of executing various missions. We provide the results of our final demonstrations which mark the completion of this initial step to demonstrate MEIA as a viable cross-domain, autonomy architecture for IoMT. © 2023 SPIE.

关键词： Drones

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Awareness, Control, and Trust in Adversarial Multi-Agent Hybrid Dynamical systems

Awareness, Control, and Trust in Adversarial Multi-Agent Hyb...

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conference on open architecture/open business model net-centric systems and defense transformation

作者： Haggerty, Patrick, V Strasser, Ben A. Gen Dynam Mission Syst Bloomington MN USA

ISBN: (纸本)9781510651159;9781510651142

Control in multi-agent hybrid dynamical systems - systems in which the state contains both discrete and continuous elements - is poorly understood. Theoretical results on state reachability and avoidablility typically rely on restrictive assumptions which do not hold in many important cases, hampering results in both trust and optimization of such systems. We introduce a flexible framework to enable control in multi-agent hybrid dynamical systems. We present an agent-based finite horizon temporal logic (FHTL) framework that enables mission monitoring and improves agent to agent collaboration in multi-agent hybrid systems under significantly lighter assumptions than required for similar infinite horizon temporal logic (IHTL) applications. We demonstrate our framework in an example scenario and provide both quantitative and qualitative analyses of the performance gains and mission trust monitoring enabled by our tools for this example.

关键词： hybrid dynamical systems multi-agent autonomy trust in autonomy temporal logic multi-agent control

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Escaping the vendor event horizon using the SOSA Technical Standard

Escaping the vendor event horizon using the SOSA Technical S...

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conference on open architecture/open business model net-centric systems and defense transformation

作者： Sargent, Garrett C. Collier, Patrick Lipkin, Ilya Psoas LLC Dayton OH 45402 USA Aspen Consulting Sea Girt NJ USA AFLCMC Wright Patterson AFB OH USA

ISBN: (纸本)9781510651159;9781510651142

Designing sensors using open architecture (OA) principles enables interoperability and reduces the cost of procuring sensors by permitting a sensor be built by multiple vendors instead of only one. The Sensor open Sensor architecture(TM) (SOSA) Consortium is a consensus-based community of government and industry partners working together to develop the next generation of sensors that have a well-defined set of interfaces for software, hardware, and electro-mechanical components. In total, the SOSA Technical Standard is applicable to any one of the five sensor types (or combination): radar (RADAR), electro-optical (EO/IR), signal intelligence (SIGINT), communications (COMMS), and electronic warfare ( EW). The ability of the SOSA Technical Standard to be a pointer to five different sensor types is what sets it apart from other standards available today. Many standards suffer from being application/platform specific, relevant to only one sensor type, and locked to a particular vendor. The SOSA Consortium combats this problem by focusing on being platform, vendor, and sensor agnostic. This paper provides examples of how a sensor system can be designed using the concepts and technologies defined in the SOSA Technical Standard in order to escape the proverbial vendor event horizon.

关键词： SOSA open architecture interoperability vendor agnostic open standard

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An open architecture approach for a software defined radio waveform development experiment

An open architecture approach for a software defined radio w...

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conference on open architecture/open business model net-centric systems and defense transformation

作者： Gudaitis, Michael Amanna, Ashwin AFRL RIT Air Force Res Lab 525 Brooks Rd Rome NY 13441 USA ANDRO Computat Solut One Beeches Pl7980 Turin RdBldg 1 Rome NY 13440 USA

ISBN: (纸本)9781510651159;9781510651142

open architectures promise interoperability, rapid prototyping, and affordability. Software defined radios (SDRs) require high performance embedded signal processing with precision timing, synchronization, and security. Users want flexibility and adaptability. Is it possible to develop an open architecture (OA) approach that provides all these attributes? Current and emerging generations of general purpose processors (GPPs) provide powerful new choices for implementing SDR waveforms. Waveform software that is optimized for vector processors on GPPs can compete in performance with Field Programmable Gate Array (FPGA) implementations, but the software has much faster development schedules. SDRs can now be designed with better modularity using high-speed OA interfaces between components. A waveform experiment was conducted to assess these new tools and techniques that can accelerate waveform development. This paper explores past and current trends in open architectures for SDRs, discusses lessons learned from case study results, and provides recommendations for creating a waveform development kit (WDK) based on OA SDR.

关键词： software defined radio (SDR) open architecture (OA) waveform development kit (WDK)

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Target defense Against A Sequentially Arriving Cooperative Intruder Team

Target Defense Against A Sequentially Arriving Cooperative I...

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open architecture/open business model net-centric systems and defense transformation 2023

作者： Pourghorban, Arman Maity, Dipankar The Department of Electrical and Computer Engineering The University of North Carolina CharlotteNC28223 United States

ISBN: (纸本)9781510662049

We consider a variant of the target defense problem where a single defender is tasked to guard a target region from a sequence of incoming intruders. Each intruder’s objective is to breach the target boundary without being captured and the defender’s objective is to capture as many intruders as possible. The intruders appear sequentially on a fixed circle surrounding the target, resulting in a sequence of 1-vs-1 games between the defender and the intruders. Each 1-vs-1 game is terminated when the target is breached or the intruder is captured. The defender has to start the next game as soon as the current game ends. Each intruder knows the entry point of the last intruder and this information is used to find an optimal entry point. Each game is analyzed by dividing it into two phases: partial information and full information phase. We utilize the notions of engagement surface and capture circle to analyze the strategies for the defender as well as the intruders. Furthermore, we analytically compute the capture percentage for both finite and infinite sequences of intruder arrivals. Finally, the theoretical results are verified through numerical examples using Monte-Carlo type random trials of experiments. © 2023 SPIE.

关键词： network security

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High Assurance State Machine Microprocessor Concept: Aberdeen architecture

High Assurance State Machine Microprocessor Concept: Aberdee...

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conference on open architecture/open business model net-centric systems and defense transformation

作者： Jungwirth, Patrick Wildes, Gregg Brown, James Crowe, Michael DEVCOM Army Res Lab Branch Aberdeen Proving Ground Computat & Informat Sci Directorate Aberdeen Proving Ground MD 21005 USA Mission Innovat Grand Rapids MI USA DEVCOM Aviat & Missile Ctr Elect & Comp Technol Div Redstone Arsenal AL USA

ISBN: (纸本)9781510651159;9781510651142

The Aberdeen architecture is a high assurance microprocessor architecture concept which implements Saltzer and Schroeder's 1975 security principles in hardware. Current microprocessors execute instructions without any verification or authentication. Saltzer and Schroeder defined fundamental security principles: complete mediation, and open design. Complete mediation means to verify access rights and authority for every operation. Protection mechanisms should be based on open design principles: protecting keys, not design secrecy. In 2002, Mann describes how secrecy makes systems brittle and subject to catastrophic failure. The Aberdeen architecture is high assurance computer architecture based on 'open design' principles, complete mediation, and RISC-V instruction set architecture. Aberdeen architecture uses several hardware state machine monitors to enforce hardware security policies for the execution pipeline. The state machines' security policies cover instruction execution, control flow integrity, data flow integrity, and memory access integrity. The individual security policies provide overlapping coverage. The security of the whole architecture is greater than the sum of the individual parts. The Aberdeen architecture provides near complete mediation for instruction execution. This paper presents an introduction to the Aberdeen architecture.

关键词： High assurance computing open design RISC-V state machine monitor

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StegAI: Detecting Steganography with Deep Learning

StegAI: Detecting Steganography with Deep Learning

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open architecture/open business model net-centric systems and defense transformation 2023

作者： Beatty, Emily Carlson, Skyler General Dynamics Mission Systems Deep Learning Analytics Center of Excellence 12450 Fair Lakes Circle FairfaxVA22033 United States 8201 E McDowell Rd ScottsdaleAZ85257 United States

ISBN: (纸本)9781510662049

Adversaries or internal threats wishing to exfiltrate sensitive data may choose a method that obfuscates the fact that a transfer is even taking place by camouflaging it inside of allowable data. This technique is known as steganography, which is the practice of concealing data (such as hidden communications or sensitive data of any kind) in an existing data transfer medium, such as images or video. Video streams may be targeted more readily than other media because of the bandwidth they offer compared to single images. Current methods for mitigating the risk associated with data exfiltration through steganography sanitization through unconditional alteration video frames. However, these approaches are limited as they do not detect if a steganography attack is occurring. Deep Neural networks (DNNs) excel at pattern recognition, presenting an opportunity to leverage them for detection of steganography. Having the capability to detect steganography could prove extremely useful, with uses such as prompting security administrators to investigate further or to immediately halt a video stream. We investigate Least Significant Bit Steganography with both encrypted and cleartext payloads and show that machine learning can detect both. © 2023 SPIE.

关键词： Steganography

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A Data-centric Reinforcement Learning Approach for Self-Updating Machine Learning models

A Data-Centric Reinforcement Learning Approach for Self-Upda...

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conference on open architecture/open business model net-centric systems and defense transformation

作者： Sack, Mandy Gen Dynam Mission Syst Deep Learning Analyt Ctr Excellence Fairfax VA 22033 USA

ISBN: (纸本)9781510651159;9781510651142

Continuously Updating Reinforcement Learning (CURL) demonstrates the ability to rapidly maintain deployed ML models when there is a change in use case such as a denied target with minimal performance effects. Traditional Machine Learning (ML) lifecycle requires ML models to be retrained and redeployed in order to maintain performance of deployed models experiencing changes in underlying data such as data drift. Data drift can include a wide variety of changes in data such as the addition of a new class, operating in an entirely new environment, mislabeled data, or subtle changes in targets over time. (CURL) deviates from this traditional lifecycle with dynamic updates using Reinforcement Learning (RL) to identify and capture data changes, and then automatically retrain the model with data changes. CURL learns to identify changes in data through its RL policy that is designed to maximize the reward for identifying changes in data. Specifically, CURL's RL approach includes an environment with both the model's performance and current prediction confidence as the observation space for the agent to act on the discrete action space, and reward function of the model's accuracy subtracted by the labeling cost to learn data changes. Our controlled experiment demonstrated that the same distribution of denied target data (3%) was found by our RL policy, and our retrained model exceeded the initial classifier performance. CURL can be considered a general purpose technology that could be applied to a wide spectrum of fielded ML systems.

关键词： Reinforcement Learning Machine Learning Dynamic Retraining ML model Performance ML Lifecycle Fine-Tuning Classification Data Drift

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Graph-based Autonomy Behavior Classification

Graph-based Autonomy Behavior Classification

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open architecture/open business model net-centric systems and defense transformation 2023

作者： Kleider, John E. Madsen, Glen General Dynamics Mission Systems AtlantaGA30308 United States General Dynamics Mission Systems ScottsdaleAZ85257 United States

ISBN: (纸本)9781510662049

Graph neural networks (GNNs) are becoming increasingly popular for multi-agent autonomy applications. For mission planning, when numerous autonomous agents are involved, even simple behaviors can overwhelm the human commander. This is because the number of possible interactions between agents and possible outcomes for coordinating effective teaming grows exponentially. Artificial intelligence can be used to learn effective agent behaviors to create what we define as a Virtual Commander (VC). The VC can be used to learn friendly and/or adversary behaviors in a complex mission planning scenario. A VC may be comprised of multiple machine learning components, such as behavior classification and behavior prediction. Based on classifying a particular behavior mode at any instant in time, future behaviors can be learned and therefore predicted to aid a commander in effective mission planning. In this work we compare 2 methods of behavior mode classification for a virtual commander using graphs. The first method uses an image-based digit (IBD) classifier for mode classification, while the second method uses adjacency matrix-based (AMB) classifier to perform mode classification. Though both classifiers predict the VC mode classification correctly >90% of the time, we show that the AMB performs better than IBD, while also reducing the data generation complexity for training and testing by multiple orders of magnitude. © 2023 SPIE.

关键词： Drones

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