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Enhancing Data Security and Integrity with Post-Quantum and AES Digital Signatures Puringgar Prasadha Putra, Rayasa; H. A. Danang Rimbawa; Bisyron Wahyudi
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2081

Abstract

Data security and integrity are crucial issues in contemporary information systems, since the emergence of quantum computing presents substantial risks to traditional cryptographic techniques such as RSA and ECC. This work suggests a hybrid technique that combines the Advanced Encryption Standard (AES) for symmetric encryption with Post-Quantum Cryptography (PQC) digital signatures to mitigate these issues. The framework seeks to safeguard sensitive documents, including PDFs, against unauthorized alterations and Man-in-the-Middle (MiTM) attacks. A simulation is executed to illustrate the threats associated with Man-in-the-Middle (MiTM) attacks, whereby the encrypted document and digital signatures are intercepted, altered, and re-encrypted. The technology guarantees data integrity by signature verification and hash comparisons, efficiently identifying and preventing tampering. The findings indicate that the suggested PQC-AES hybrid system not only fortifies defenses against conventional threats but also improves resistance to quantum-based assaults, offering a scalable and safe approach for contemporary data security. The research emphasizes the need of implementing quantum-resistant algorithms to safeguard digital security systems for the future, while preserving the efficacy of existing encryption techniques. The progression of quantum computing presents substantial threats to traditional cryptography methods, including RSA and ECC. These cryptosystems depend on mathematical issues that can be effectively resolved using quantum algorithms, especially Shor's algorithm. Post-Quantum Cryptography (PQC) has emerged as a viable way to mitigate this issue
Implementasi Teknologi Mediapipe Menggunakan Metode CNN Berbasis Website Untuk Pengamanan VVIP Dalam Mobil M. Ilham AlFatrah; Hery Sudaryanto; H. A. Danang Rimbawa
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 3 (2025): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan mengembangkan sistem deteksi gestur tangan berbasis MediaPipe dan Convolutional Neural Network (CNN) guna meningkatkan efektivitas pengamanan VVIP. Mengingat ancaman modern yang semakin kompleks, sistem ini dirancang untuk mendeteksi gestur darurat secara real-time dan memungkinkan respons cepat. Metodologi yang digunakan meliputi pengumpulan dataset gestur tangan, anotasi data menggunakan MediaPipe, dan pelatihan model CNN di Google Colab. Kinerja model dievaluasi dengan metrik akurasi, presisi, recall, dan F1-score. Pengujian juga dilakukan dalam berbagai kondisi, seperti pencahayaan rendah dan gerakan cepat, untuk menilai ketangguhan sistem di dunia nyata. Hasilnya, sistem ini berhasil mendeteksi gestur tangan darurat dengan akurasi tinggi dan kecepatan kurang dari satu detik. Kinerja optimal, dengan akurasi mendekati 100%, tercapai pada kondisi pencahayaan yang baik. Meskipun akurasi sedikit menurun pada kondisi ekstrem, integrasi sistem pada platform website memungkinkan pengawasan dan pengambilan keputusan cepat di pusat komando. Penelitian ini membuktikan bahwa kombinasi MediaPipe dan CNN adalah solusi inovatif, namun optimasi lebih lanjut tetap dibutuhkan.