• Ameer Ali Fadhil
• Vitoria Jesuremen Anthony
• Adeyinka Taye Iyinoluwa
• Adeyinka Kehinde Iyioluwa

Unmanned Aerial Vehicles (UAVs) are increasingly deployed in surveillance, disaster response, and intelligent transport systems, but their communications remain exposed to threats such as eavesdropping, replay, and jamming. Conventional cryptographic techniques, while secure, impose high computational and energy costs unsuitable for UAVs’ constrained environments. This paper presents a lightweight security framework that integrates Dynamic Key Management (DKM), Partial Permutation Encryption (PPE), and secure Network Coding (NC) to provide efficient confidentiality, integrity, and reliability. DKM adapts key updates based on packet count, channel conditions, and time intervals, reducing the risk of key compromise. PPE selectively encrypts payload blocks, lowering energy overhead while maintaining entropy. NC adds redundancy and resists pollution attacks. Implemented in Python and MATLAB with CRAWDAD UAV mobility traces, the framework demonstrates reduced latency and energy consumption compared to AES and ECC, while preserving high packet delivery ratio and resilience under attack. Results confirm its suitability for lightweight, secure UAV communication.

Unmanned Aerial Vehicles (UAVs), Dynamic Key Management (DKM), Partial Permutation Encryption (PPE), Network Coding, Lightweight Cryptography, FANETs, Internet of Drones (IoD).

"An Adaptive Security Framework for UAV Networks: Integrating Dynamic Key Management, Lightweight Encryption, and Network Coding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.f208-f213, September-2025, Available :http://www.jetir.org/papers/JETIR2509530.pdf

"An Adaptive Security Framework for UAV Networks: Integrating Dynamic Key Management, Lightweight Encryption, and Network Coding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppf208-f213, September-2025, Available at : http://www.jetir.org/papers/JETIR2509530.pdf