Pengembangan Framework Secret Key Generation yang Efisien dan Robust Berbasis Optimasi Kanal, Kuantisasi Adaptif, Peningkatan Randomness, dan Cooperative Jamming pada Jaringan LoRa

Anisah, Ida (2026) Pengembangan Framework Secret Key Generation yang Efisien dan Robust Berbasis Optimasi Kanal, Kuantisasi Adaptif, Peningkatan Randomness, dan Cooperative Jamming pada Jaringan LoRa. Doctoral thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini mengembangkan framework Secret Key Generation (SKG) berbasis Physical Layer Security pada jaringan LoRa untuk meningkatkan keamanan komunikasi IoT berdaya rendah. Penelitian terdahulu masih menghadapi keterbatasan pada kualitas kanal, konsistensi bit hasil kuantisasi, kualitas randomness, dan keamanan pada jaringan berbasis relay. Penelitian ini mengusulkan framework yang mengintegrasikan optimasi kanal menggunakan filter Savitzky–Golay, kuantisasi Modified Adaptive Dual-Threshold Quantization (Modified ADQ), peningkatan randomness melalui Periodic Reversal for Keying (PRK), serta cooperative jamming. Hasil menunjukkan bahwa kanal LoRa berpotensi sebagai sumber entropi dan optimasi Savitzky–Golay meningkatkan koefisien korelasi RSSI. Modified ADQ 4-bit menghasilkan Key Agreement Rate (KAR) sebesar 0,9745 dan Key Generation Rate (KGR) sebesar 33,04 bps dengan waktu pembangkitan 7,75 detik per kunci, sedangkan PRK meningkatkan jumlah kunci yang lolos uji NIST SP 800-22 dari 4 menjadi 14. Framework yang diusulkan memiliki kompleksitas linear O(N) dan menghasilkan sistem SKG yang lebih aman, efisien, dan robust untuk jaringan LoRa.
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This research develops a Secret Key Generation (SKG) framework based on Physical Layer Security for LoRa networks to enhance secure communication in low-power Internet of Things (IoT) devices. Existing studies are still limited by suboptimal channel quality, low bit agreement in quantization, insufficient randomness, and the lack of security mechanisms for relay-based LoRa networks. To address these limitations, this research proposes an integrated SKG framework incorporating Savitzky–Golay channel optimization, Modified Adaptive Dual-Threshold Quantization (Modified ADQ), Periodic Reversal for Keying (PRK) for randomness enhancement, and cooperative jamming. Experimental results demonstrate that LoRa channels provide a viable entropy source, while Savitzky–Golay optimization improves RSSI correlation. The proposed 4-bit Modified ADQ achieves a Key Agreement Rate (KAR) of 0.9745 and a Key Generation Rate (KGR) of 33.04 bps with a key generation time of 7.75 s/key. PRK increases the number of keys passing the NIST SP 800-22 tests from 4 to 14. The proposed framework exhibits O(N) computational complexity and provides a secure, efficient, and robust SKG solution for LoRa-based IoT networks.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	LoRa, Secret Key Generation, Filter Savitzky-Golay, Modified ADQ, Periodic Reversal for Keying , Cooperative Jamming
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.94 Cryptographic techniques
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20001-(S3) PhD Thesis
Depositing User:	Ida Anisah
Date Deposited:	05 Aug 2026 00:58
Last Modified:	05 Aug 2026 00:58
URI:	http://repository.its.ac.id/id/eprint/143648

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