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All Journal Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Jurnal Ilmiah Matrik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Technomedia Journal Aptisi Transactions on Management CCIT (Creative Communication and Innovative Technology) Journal Journal of Information System,Graphics, Hospitality and Technology ADI Journal on Recent Innovation (AJRI) Jurnal Sistem Informasi dan Informatika (SIMIKA) Best Journal (Biology Education, Sains and Technology) ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics ADI Bisnis Digital Interdisiplin (ABDI Jurnal) IAIC Transactions on Sustainable Digital Innovation (ITSDI) MAVIB Journal : Jurnal Multimedia Audio Visual and Broadcasting International Journal of Cyber and IT Service Management (IJCITSM) Universal Raharja Community (URNITY Journal) Jurnal Maklumatika International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Ruli Supriati, Ruli
Universitas Raharja
Religion Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : journal of computer science and technology application

 1 
Deep Learning Enabled Security Monitoring for Intrusion Detection in Smart Campus Networks Ruli Supriati; Nuke Puji Lestari Santoso; Steven Harazaki Lase; Carlos Perez
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/a88eeq63

Abstract

The increasing complexity of smart campus networks has heightened the need for advanced cybersecurity measures to protect sensitive data and ensure seamless operations. Traditional Intrusion Detection Systems (IDS) often struggle to cope with the dynamic and heterogeneous nature of network traffic in smart campus environments, necessitating the development of more effective solutions. This study aims to propose a deep learning-based intrusion detection system for smart campus networks, utilizing a Hybrid CNN-LSTM model to enhance security monitoring. The proposed methodology integrates Convolutional Neural Networks (CNN) for feature extraction and Long Short-Term Memory (LSTM) networks for capturing temporal dependencies in network traffic. The model was trained and evaluated on a combination of publicly available datasets and simulated smart campus data, measuring performance through key metrics such as accuracy, precision, recall, and F1-score. Results show that the Hybrid CNN-LSTM model outperforms traditional machine learning models, achieving an accuracy of 97.3% and a ROC-AUC of 0.99, demonstrating superior detection of both known and unknown intrusions. The findings suggest that deep learning models, especially when tailored to smart campus contexts, offer significant advantages in real-time threat detection and adaptive learning. This research contributes to the growing body of knowledge on AI-driven network security and provides practical insights for improving cybersecurity infrastructures in higher education institutions.
Enhancing Network Security with Quantum Cryptography:A Study on Future-Proofing Computer Networks AgainstQuantum Attacks Ruli Supriati; Purwanti; Sheila Aulia Anjani; Rio Wahyudin Anugrah; Ryan McCarthy
CORISINTA Vol 2 No 1 (2025): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i1.58

Abstract

The rapid development of quantum computing presents a significant challenge to existing cryptographic systems, such as RSA and Elliptic Curve Cryptography, which rely on the complexity of mathematical problems for security. Shor’s algorithm, which can efficiently solve these problems, emphasizes the need for cryptographic solutions that are resistant to quantum threats. This study aims to investigate the potential of Quantum Cryptography, with a specific focus on Quantum Key Distribution (QKD), to strengthen network security in response to emerging quantum computing risks. Despite the theoretical potential of QKD, there remains a gap in its practical application, particularly in terms of scalability, high implementation costs, and sensitivity to environmental factors, which have hindered its widespread adoption. The novelty of this research lies in the comprehensive approach it takes, combining theoretical analysis of QKD protocols, simulations using Qiskit, and comparisons with traditional cryptographic methods. This provides a more robust understanding of QKD effectiveness in different network scenarios. The study reveals that the BB84 protocol consistently outperforms the E91 protocol in terms of key generation efficiency and noise resilience. However, despite its unmatched security capabilities, QKD faces challenges such as scalability and implementation costs. To overcome these challenges and achieve widespread adoption, integrating QKD with post quantum cryptography and developing hybrid approaches are essential. Quantum Cryptography, particularly QKD, holds the potential to become a cornerstone for securing critical infrastructure, ensuring communication security in the quantum era.
Co-Authors ., Safinatunnaziyah Aang Hidayat Achmad Badrianto Agung Rizky Agus Salim Saputra Akhmad Jalaludin, Akhmad Al Hafiz, Mohammad Aditya Alpi Maulana Alvitiana, Muhammad Dihar Andri Yanti Irmawan Anjar Juniarno Asha Fadilah Astri Wulan Sari Bhentar Ramadhan Budiarto, Mukti Carlos Perez Danang Surya Budi Danang, Danang Danti, Siti Ika Desrianti, Dewi Immaniar Desy Apriani Diah Aryani, Diah Dimas Nurhilman Dwi Adji Prasetyo Euis Nurninawati Euis Siti Nur Aisyah, Euis Siti Nur Euis Sitinur Aisyah Fae, Nahlie Fitria, Maulida Friandi, Sendy Zul Gista Melandy Hari Setiyani Henderi . Herdiana, Kivti Himawan Ilamsyah Ilamsyah Ilamsyah Ilamsyah Ilamsyah, Ilamsyah Indah Sulastri John Edwards John Hendri Junaidi Junaidi Kumoro, Dwi Ferdiyatmoko Cahya Laksono Trisnantoro Lubis, Muhammad Afwa Maulida Fitria Mia Permatasari Mistano . Muhammad Faisal Muhammad Fikri Firdaus Muhammad Iip Suhaepi Muhammad Rehan Anwar Mukti Budiarto Mulyati Mulyati Natalia, Elisa Ananda Nina Carolina Nirwan Salim Nuke Puji Lestari Santoso Nur Azizah Padeli Padeli Patric Bagas Agastya Adhi Putra Pawakal, Muhamad Galih Po Abas Sunarya Po Abbas Sunarya Prasetyo, Dwi Adji Purwanti Putri Rachmanda Priyadi Qurotul Aini Rahayu Rais, Nurlaila Suci Ramdani Sofhan Ratri, Sanda Ramadhan Rawat, Bhupesh Ria Panjaitan Richard Evans Ricka Anggie Fadyla Rifqa Nabila Muti Rio Wahyudin Anugrah Royani Dewi, Elisa Ryan McCarthy Ryo Satya Pradhana Santoso, Nuke Puji Lestari Saputra, Wisnu Adi Sheila Aulia Anjani Silva Ayu Lestari Siti Auliawati Adawiyah Siti Maesaroh Siti Shuhaibatul Islamiah Solahudin, Pahmi Steven Harazaki Lase Sugeng Santoso Sugeng Widada Supriyanti, Dedeh Susanto Rahardja Tarisya Ramadhan Taufik Hidayat Thamrin, Rizky Maulana Trinugi Wira Harjanti Triyono Triyono Triyono Ulis Bella Untung Rahardja Wiranti Sri Utami Yandri, Rudy Yovina Niawan Putri, Yovina Niawan Yusuf Effendy