Peningkatan Keamanan ADS-B Dengan Algoritma Blowfish

Lawalata, Renato Simon (2017) Peningkatan Keamanan ADS-B Dengan Algoritma Blowfish. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Teknologi Automatic Dependent Surveillance-Broadcast (ADS-B) merupakan salah satu komponen penting dalam Air Trafic Management (ATM) masa depan. ADS-B memungkinkan pelacakan pesawat oleh stasiun darat dengan lebih akurat sehingga potensi pesawat keluar jalur atau bahkan hilang dapat diminimalisir. Salah satu kelemahan dari teknologi ADS-B adalah keamanan kanal transmisi antara pesawat dengan stasiun darat yang lemah sehingga siapapun dengan receiver ADS-B dapat menerima sinyal yang dipancarkan pesawat, termasuk berbagai informasi dengan tingkat kerahasiaan tinggi seperti informasi militer. Untuk itu, diperlukan teknik enkripsi data yang baik untuk menyulitkan receiver ADS-B yang tidak resmi memperoleh informasi tersebut. Teknik yang digunakan adalah Algoritma Blowfish, algoritma enkripsi simetris dengan kecepatan enkripsi dan dekripsi tinggi dan throughput besar. Kekuatan enkripsi akan diukur melalui perhitungan Avalanche Effect dan koefisien korelasi antara data asli dengan data hasil enkripsi. Melalui teknik ini diharapkan keamanan data baik dan proses dekripsi tidak memakan banyak waktu, sehingga performansi keseluruhan sistem ADS-B meningkat. Hasil simulasi menunjukkan bahwa algoritma enkripsi yang disimulasikan dapat bekerja sesuai rencana dengan nilai Avalanche Effect lebih dari atau sama dengan 50% didapat di round 10 dan 16, rata-rata koefisien korelasi senilai -0,004716, dan dibutuhkan waktu selama 4,175017 × 1015 detik untuk dibongkar menggunakan brute force attack. Algoritma enkripsi tersebut menghasilkan tambahan waktu pemrosesan infromasi di receiver selama rata-rata 94,4 milidetik. Sebagai tambahan simulasi kanal menunjukkan bahwa untuk mendapatkan BER tertentu, SNR kanal Rayleigh harus lebih tinggi dibanding SNR kanal AWGN. ================================================================= Automatic Dependent Surveillance-Broadcast (ADS-B) is one of the key components of future Air Traffic Management (ATM). ADS-B allows ground station to track airplanes more accurately to minimize the potency of airplanes being out of course and even lost. One of the concerning aspect of ADS-B technology is the loose security of the transmission channel between the airplane and the ground station so that anyone with an ADS-B signal receiver could receive the signal transmitted from airplanes, which might include highly classified information such as military information. Therefore, it is necessary to add a strong encryption algorithm to make it harder for unlicensed ADS-B signal receivers to obtain the information. The algorithm simulated is Blowfish Algorithm, a symmetric encryption algorithm with high-speed encryption and decryption process and large throughput. The strength of the encryption is measured from the Avalanche Effect and correlation coefficient between the real data and the encrypted data. With this algorithm, it is expected that the ADS-B transmission system will have a better security without a time-consuming decryption process, thus increasing the overall performance of ADS-B. Simulation results show that the encryption algorithm works as planned with Avalanche Effect greater than or equal to 50% obtained in round 10 and 16, average correlation coefficient -0.004716, and it takes 4,175017 × 1015 seconds to break the algorithm with brute force attack. The encryption algorithm adds an average of 94,4 miliseconds to the data processing duration in the receiver. In addition, channel simulation shows that to obtain a certain value of BER, the SNR of Rayleigh Channel must be higher than the SNR of AWGN Channel.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 005.82 Law p
Uncontrolled Keywords: ADS-B, security, Blowfish
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication
Divisions: Faculty of Industrial Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: Renato Simon Lawalata
Date Deposited: 27 Nov 2017 07:48
Last Modified: 27 Nov 2017 07:48
URI: http://repository.its.ac.id/id/eprint/44043

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