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Abstract Identity-Anonymized CAN (IA-CAN) protocol is a secure CAN protocol, which provides the sender authentication by inserting a secret sequence of anonymous IDs (A-IDs) shared among the communication nodes. To prevent malicious attacks from the IA-CAN protocol, a secure and robust system error recovery mechanism is required. This article presents a central management method of IA-CAN, named the IA-CAN with a global A-ID, where a gateway plays a central role in the session initiation and system error recovery. Each ECU self-diagnoses the system errors, and (if an error happens) it automatically resynchronizes its A-ID generation by acquiring the recovery information from the gateway. We prototype both a hardware version of an IA-CAN controller and a system for the IA-CAN with a global A-ID using the controller to verify our concept.

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.

In the “What’s Next for Aerospace and Defense: A Vision for 2050” study, AIA, New York City-based McKinsey & Company, and other industry partners reveal a comprehensive 30-year, Industry 4.0 forecast of air travel and spaceflight based on improvements in automation and digitization, next-generation materials, alternative energy sources and storage, and increased data throughput.

This document defines an Aircraft Data Interface Function (ADIF) developed for aircraft installations that incorporate network components based on commercially available technologies. This document defines a set of protocols and services for the exchange of aircraft avionics data across aircraft networks. A common set of services that may be used to access specific avionics parameters are described. The ADIF may be implemented as a generic network service, or it may be implemented as a dedicated service within an ARINC 759 Aircraft Interface Devices (AID) such as those used with an Electronic Flight Bag (EFB). Supplement 8 includes improvements in the Aviation Data Broadcast Protocol (ADBP), adds support for the Media Independent Aircraft Messaging (MIAM) protocol, and contains data security enhancements. It also includes notification and deprecation of the Generic Aircraft Parameter Service (GAPS) protocol that will be deleted in a future supplement.

Abaco Systems Inc. is launching a new family of avionics devices for test and simulation, development, and dataloading that feature Thunderbolt 3 interfaces. The new portable, high-speed, low-latency avionics devices – RCEI-830A-TB and QPM-1553-TB – are designed for a broad range of avionics applications and include Thunderbolt 3-to-PMC/XMC interfacing with ARINC 429 and MIL-STD-1553 protocols.

 Sometimes mandatory, often voluntary, security frameworks are created to provide federal and commercial organizations with an effective roadmap for securing information technology (IT) systems. The goal is to reduce risk levels and prevent or mitigate cyberattacks. To accomplish this task, security frameworks typically provide a series of documented, agreed upon, and understood policies, procedures, and processes necessary to secure the confidentiality, integrity, and availability of information systems and data.

Cyber security in the aviation industry, especially in relation to onboard aircraft systems, presents unique challenges in its implementation and management. The cyber threat model is constantly evolving and will continually present new and different challenges to the aircraft operator in responding to new cyber threats without either invoking a lengthy software update and re-certification process or limiting aircraft-to-ground communications to the threatened system or systems. This presentation discusses a number of system architectural options and developing technologies that could be considered to enhance the aircraft cyber protection and defensive capabilities of onboard systems as well as to minimize the effort associated with certification/re-certification. Some of these limit the aircraft?s vulnerabilities or in cyber terms, its ?threat surface?.

New for 2022, AeroTech® will deliver even more robust programming by teaming up with AeroMat to deliver learning opportunities dedicated to: Additive Manufacturing and Materials, Environment and Sustainable Aviation (Sustainability), Autonomy and AI, Safety and Human Factors, Modeling, Simulation and Testing, Cybersecurity / Cyber-Physical Security, Industry 4.0 Smart Manufacturing and Assembly, IDEAL Summit (inclusion, diversity, equity, accessibility and leadership), Advanced Air Mobility (AAM) and Multimodal Mobility (M3)

New for 2022, AeroTech® will deliver even more robust programming by teaming up with AeroMat to deliver learning opportunities dedicated to: Additive Manufacturing and Materials, Environment and Sustainable Aviation (Sustainability), Autonomy and AI, Safety and Human Factors, Modeling, Simulation and Testing, Cybersecurity / Cyber-Physical Security, Industry 4.0 Smart Manufacturing and Assembly, IDEAL Summit (inclusion, diversity, equity, accessibility and leadership), Advanced Air Mobility (AAM) and Multimodal Mobility (M3)

New for 2022, AeroTech® will deliver even more robust programming by teaming up with AeroMat to deliver learning opportunities dedicated to: Additive Manufacturing and Materials, Environment and Sustainable Aviation (Sustainability), Autonomy and AI, Safety and Human Factors, Modeling, Simulation and Testing, Cybersecurity / Cyber-Physical Security, Industry 4.0 Smart Manufacturing and Assembly, IDEAL Summit (inclusion, diversity, equity, accessibility and leadership), Advanced Air Mobility (AAM) and Multimodal Mobility (M3)

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

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).

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.

Countering cybersecurity threats against unmanned vehicle systems Cranfield University researchers have developed a monitoring system whose purpose is to monitor mission profile implementation at both high level mission execution and at lower level software code operation to tackle specific threats of malicious code and possible spurious commands received over a vehicle's data links.

The Role of Autonomous Unmanned Ground Vehicle Technologies in Defense Applications Information Warfare - Staying Protected at the Edge Designing Connectivity Solutions for an Electric Aircraft Future Redesigning the Systems Engineering Process to Speed Development of E-Propulsion Aircraft Four RF Technology Trends You Need to Know for Satellite Communication Device Design Manufacturer Reduces Risk and Improves Quality of Military Radar Receivers Instrumentation for Fabrication and Testing of High-Speed Single-Rotor and Compound-Rotor Systems Precision data acquisition is required to generate a comprehensive set of measurements of the blade surface pressures, pitch link loads, hub loads, rotor wakes and performance of high-speed single-rotor and compound-rotor systems to support the development of next-generation rotorcraft.