AI-Driven Enhancements for Secure and Efficient Communication in Aviation Using CSMA and GNU-Radio

Résumé fourni par la source

The current aviation communication systems encounter critical security and efficiency challenges when sending data between the cabin crew and flight deck personnel under severe signal disturbance conditions. Modern airborne network complexities require new combined approaches that produce secure protocols for improved network performance. This research examines serious weaknesses within wireless aviation communications because they remain exposed to surveillance and jamming interaction along with unlawful breach of vital flight information. Prior research does not present any adaptive security model that performs threat detection while ensuring low-latency communication. CSMA protocols that operate conventionally do not have built-in capabilities for adjusting automatically to network condition changes thereby creating poor performance in mobile environments. The development of an AI-enhanced communication framework becomes necessary because existing systems show several deficiencies. A newly developed AI-controlled communication protocol and GNU Radio integration provides improved security performance with increased transmission capability. Machine learning algorithms optimize the adjustment process of contention windows while achieving 98.3% attack detection accuracy through automation of encryption method selection that also includes post-quantum elliptic-curve cryptography support. Various aviation situations allow testing of the system through UHF band (406–475 MHz) operations at USRP hardware. The research findings show how system throughput increased by 54.65% while FER decreased to 0.078% which surpasses present-day methods. The system operates with a latency measurement of less than 100 milliseconds which complies with aviation safety norms. The system establishes dependable communication protocols which function effectively at signal-to-noise ratios that reach to -85 dB. These advancements have created a new state-of-the-art in airborne encryption by connecting artificial intelligence adaptability with military standard encryption security.

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