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Innovations in Mobility: Aerospace Digital Summitaerospace mobility leaders convene leverage cutting-edge technology, design, develop safety measures, integrate current regulations, suggest future policies, expand markets, diversify revenue streams.

Abstract Despite more and more rigorous defense mechanisms in place for cyber-physical systems, cybercriminals are increasingly attacking systems for benefits using a variety of means including malware, phishing, ransomware, and denial of service. Cyberattacks could not only cause significant economic loss but also disastrous consequences for individuals and organizations. Therefore, it is advantageous to detect and fix potential cyber vulnerabilities before the system is fielded. To this end, this article presents a language, VERDICT, and a novel framework, Cyber Vulnerability Analysis Framework (CyVAF) to (i) define cyber threats and mitigation defenses based on system properties, (ii) detect cyber vulnerabilities of system architecture automatically, and also (iii) suggest mitigation defenses. VERDICT is developed as an annex to the Architecture Analysis and Design Language (AADL) but can also be used independently.

This brief User Guide recaps the content of the AS6518B UCS Architectural Model. The purpose of the UCS Architecture Model is to provide the authoritative source for other models and products within the UCS Architecture as shown in the AS6512B UCS Architecture: Architecture Description.

This Recommended Practice defines the technical requirements for a terrestrial-based PNT system to improve vehicle (e.g., unmanned, aerial, ground, maritime) positioning/navigation solutions and ensure critical infrastructure security, complementing GNSS technologies.

This SAE Aerospace Recommended Practice (ARP) provides insights on how to perform a Cost Benefit Analysis (CBA) to determine the Return on Investment (ROI) that would result from implementing a blockchain solution to a new or an existing business process. The word “blockchain” refers to a method of documenting when data transactions occur using a distributed ledger with desired immutable qualities. The scope of the current document is on enterprise blockchain which gives the benefit of standardized cryptography, legal enforceability and regulatory compliance. The document analyzes the complexity involved with this technology, lists some of the different approaches that can be used for conducting a CBA, and differentiates its analysis depending on whether the application uses a public or a private distributed network.

Abstract With the recent advancement in technologies, researchers worldwide have a growing interest in unmanned aerial vehicles (UAVs). The last few years have been significant in terms of its global awareness, adoption, and applications across industries. In UAV-aided wireless networks, there are some limitations in terms of power consumption, data computation, data processing, endurance, and security. So, the idea of UAVs and Edge or Fog computing together deals with the limitations and provides intelligence at the network’s edge, which makes it more valuable to use in emergency applications. Fog computing distributes data in a decentralized way and blockchain also works on the principle of decentralization. Blockchain, as a decentralized database, uses cryptographic methods including hash functions and public key encryption to secure the user information. It is a prominent solution to secure the user’s information in blocks and maintain privacy.

Abstract Threat identification and security analysis have become mandatory steps in the engineering design process of high-assurance systems, where successful cyberattacks can lead to hazardous property damage or loss of lives. This article describes a novel approach to perform security analysis on embedded systems modeled at the architectural level. The tool, called Security Threat Evaluation and Mitigation (STEM), associates threats from the Common Attack Pattern Enumeration and Classification (CAPEC) library with components and connections and suggests potential defense patterns from the National Institute of Standards and Technology (NIST) Special Publication (SP) 800-53 security standard. This article also provides an illustrative example based on a drone package delivery system modeled in AADL.

Significant growth of Unmanned Aerial Vehicles (UAV) has unlocked many services and applications opportunities in the healthcare sector. Aerial transportation of medical cargo delivery can be an effective and alternative way to ground-based transport systems in times of emergency. To improve the security and the trust of such aerial transportation systems, Blockchain can be used as a potential technology to manage, operate and monitor the entire process. In this paper, we present a blockchain network solution based on Ethereum for the transportation of medical cargo such as blood, medicines, vaccines, etc. The smart contract solution developed in solidity language was tested using the Truffle program. Ganache blockchain test network was employed to host the blockchain network and test the operation of the proposed blockchain model. The suitability of the model is validated in real-time using a UAV and all the flight data are captured and uploaded into the blockchain.

In the past, aircraft network design did not demand for information security considerations. The aircraft systems were simple, obscure, proprietary and, most importantly for security, the systems have been either physically isolated or they have been connected by directed communication links. The union of the aircraft systems thus formed a federated network. These properties are in sharp contrast with today’s system designs, which rest upon platform-based solutions with shared resources being interconnected by a massively meshed and shared communication network. The resulting connectivity and the high number of interfaces require an in-depth security analysis as the systems also provide functions that are required for the safe operation of the aircraft. This network design evolution, however, resulted in an iterative and continuous adaption of existing network solutions as these have not been developed from scratch.

This document is the Architecture Description (AD) for the SAE Unmanned Systems (UxS) Control Segment (UCS) Architecture Library Revision A or, simply, the UCS Architecture. The architecture is expressed by a library of SAE publications as referenced herein. The other publications in the UCS Architecture Library Revision A are: AS6513A, AS6518A, AS6522A, and AS6969A.

This document outlines a standard practice for conducting system safety. In some cases, these principles may be captured in other standards that apply to specific commodities such as commercial aircraft and automobiles. For example, those manufacturers that produce commercial aircraft should use SAE ARP4754 or SAE ARP4761 (see Section 2 below) to meet FAA or other regulatory agency system safety-related requirements. The system safety practice as defined herein provides a consistent means of evaluating identified risks. Mishap risk should be identified, evaluated, and mitigated to a level as low as reasonably practicable. The mishap risk should be accepted by the appropriate authority and comply with federal (and state, where applicable) laws and regulations, executive orders, treaties, and agreements. Program trade studies associated with mitigating mishap risk should consider total life cycle cost in any decision.

DoD to Deploy Thousands of Low Cost Autonomous Systems Under Replicator Program Top Productivity Improvement Tips for Manufacturing Turbine Discs FACE Technical Standard Offers MOSA Lessons for Safety-Critical Software in Any Sector Adamant: A Soon-to-be Open Source, Mission-Critical Flight Software Framework Written in Ada Benefits and Challenges of Direct-RF Sampling for Avionic Platforms More Airports Test RF as Counter Measure for UAS in Restricted Airspace Adapting U.S. Army Acquisition to Ensure the Reliability and Safety of Autonomous Vehicles This report presents several challenges that the U.S. Army will face in the transition to autonomous vehicles, challenges that are only magnified in the current acquisition environment with limited testing. Artificial intelligence algorithms introduce additional complexity, resulting in systems with a complex combination of human, machine, and autonomous controllers.

Certified Machine Learning-Based Avionics: Unlocking Safer Revolutionizing Electronic Warfare: Unleashing the Power of High-Performance Software Defined Radios Deterministic and Modular Architecture for Embedded Vehicle Systems Approximating the Material Stresses and System Requirements for Hypersonic Flight Design Approaches for Established and Emerging RF Receiver Architectures Rydberg Technologies Shows Potential of Long-Range RF with Quantum Sensor at NetModX23 New Method to Measure Wind Speed Could Unlock Drones' Potential A fundamentally different approach to wind estimation using unmanned aircraft than the vast majority of existing methods. This method uses no on-board flow sensor and does not attempt to estimate thrust or drag forces. Report on Human Factors Issues Likely to Affect Air-Launched Effects This report reviews human factors research on the supervision of multiple unmanned vehicles (UVs) as it affects human integration with Air-Launched Effects (ALE).

Propulsion Fanjet Evolution - the Next Steps Composites Dry Drilling Composites Using Carbon Dioxide Cooling

Why are Aerospace & Defense Companies Embracing Additive Manufacturing? Simplifying Power Design with Modular Architectures The Role of DevSecOps in Modern Edge Systems Making Machines Curious Designing Multi-Channel Microwave Radio Systems Using Optical Interconnects Solving Military Satellite, Radar and 5G Communications Challenges with GaN-on-SiC MMIC Power Amplifiers Advanced Airborne Defensive Laser for Incorporation on Strike Fighter Aircraft A technical and operational analysis of an airborne "hard-kill" Ytterbium fiber laser-based anti-missile system for use on strike fighters. Additive Manufacturing Utilizing a Novel In-Line Mixing System for Design of Functionally Graded Ceramic Composites Exploring the development of a direct ink writing system with multimaterial and in-line mixing capabilities for printing inks composed of high solids-loaded ceramic particulate suspensions.

Powering Better Battlefield Drones Using Low-Frequency Broadband Sonar on UUVs Experimenting in Realistic Environments Gets NewTechnology to Warfighters Designing Rugged SWaP-Optimized MOSA Solutions for UUVs Does Your UAV Program Need a Transponder? Understanding the Requirements and Guidelines Developing New Anti-Drone Radar Technology Deceiving the Enemy: These Are the Drones You Are Looking For By developing UAVs for physical deception roles to shape an adversary's ability to visually observe and orient to situations, the US military can decrease risk to air and ground combatants during mission execution by causing adversaries to expend resources, delay their reactions, or react incorrectly to tactical situations.

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The researchers at the COE for Assured Autonomy in Contested Environments – all of which histories of innovation for Department of Defense problems of interest – will focus on the availability, integrity, and effective use of information by leveraging its diverse expertise in dynamics, mathematics, control theory, information theory, communications, and computer science.

A greener future for two-wheelers New BS VI emissions standards for two-wheelers are an enviro-opportunity. Additive manufacturing How 3D printing will transform the A&D support chain. Autonomous plows ahead Agriculture, construction, mining-even marine-are advancing autonomous technology to improve the productivity and safety of vehicles on the job. Bridging the power gap with 48 volts New 48-V technologies are poised to arrive in volume to help meet CO2 regulations and satisfy the "vampire" power demands of new electrical subsystems and accessories. Advances in lightweight electronics protection Conformal coatings increase reliability of aerospace and military assemblies.

As mobility software becomes increasingly complex and connected, so does the risk of human error and system safety. To combat this, New York-based software company AdaCore will work with Nvidia Corporation of Santa Clara, California to apply open-source Ada and SPARK programming languages for select software security firmware elements in highly-complex, safety-critical systems like Nvidia’s DRIVE AGX automated and autonomous vehicle solutions.