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Secure Avionics Update: Patch Management and Safe Software Delivery for Airborne Systems
Updating avionics software is not a routine maintenance task it is a high-stakes engineering operation where any failure can compromise safety, mission capability, and regulatory compliance. Modern aircraft rely on increasingly complex digital components, and keeping these systems secure and up to date requires a tightly controlled patch-management pipeline built around cryptographic trust, verification,…
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Machine Learning in Flight Control: Opportunities and Certification Nightmares
Machine learning is inching its way into modern avionics, but let’s be blunt: it’s far easier to build a clever neural controller in a lab than to certify one for an aircraft where human lives and military assets depend on deterministic behavior. The gap between “promising prototype” and “airworthy system” is massive. Anyone assuming…
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N-Version Programming and Design-Fault Tolerance in Safety-Critical Actuators
Safety-critical aerospace systems demand reliability far beyond ordinary software engineering standards. In modern fly-by-wire architectures, actuators that drive control surfaces — elevators, ailerons, rudders, flaps, and high-authority maneuvering systems — must function correctly under all circumstances. Hardware redundancy alone cannot guarantee this; design faults in software remain a major threat. This is where N-Version…
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Power and Electromagnetic Side Channels: Data Extraction Across Physical Gaps
1. Beyond Software Boundaries: The Invisible Leakage When people talk about cybersecurity, they usually imagine code vulnerabilities, not physical ones. Yet some of the most insidious data leaks come not from compromised networks but from the subtle energy a device emits as it operates. Power consumption fluctuations and electromagnetic (EM) radiation — normally just…
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Physics vs Code: Why Google’s “Quantum Money” Challenges the Blockchain Paradigm
For the past decade, trust on the internet has been built on code. Cryptocurrencies, blockchains, and zero-knowledge proofs all rely on the hardness of certain mathematical problems. If you can’t solve them, you can’t cheat. But this foundation has a weakness: it assumes computing power grows slowly and predictably. Quantum computing breaks that assumption.…