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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Malcom: Indonesian Journal of Machine Learning and Computer Science Proceeding International Pelita Bangsa Jurnal Pelita Pengabdian SAINTEK Dedikasi : Jurnal Pengabdian Lentera
Sasongko, Ananto Tri
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Proceeding International Pelita Bangsa

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Shielding the Digital Realm with K-Nearest Neighbors in Network Security Firmansyah, Andri; Sasongko, Ananto Tri
Proceeding International Pelita Bangsa Vol. 1 No. 01 (2023): September 2023
Publisher : DPPM Universitas Pelita Bangsa

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Network security is a paramount concern in today's digitally interconnected world. The constant evolution of cyber threats necessitates innovative approaches to safeguarding the digital realm. This paper explores the application of K-Nearest Neighbors (K-NN) in network security, offering a shield against intrusions and vulnerabilities. The research begins with a comprehensive introduction to the escalating landscape of network security challenges, highlighting the critical role of intrusion detection. K-NN, renowned for its pattern recognition capabilities, is a promising solution to fortify network defenses. The methodological journey involves data collection and preprocessing, where relevant datasets are curated and prepared for analysis. Subsequently, a K-NN model is meticulously crafted, focusing on parameter tuning and optimal K-value selection. Metrics, including accuracy, precision, recall, and F1-score, are employed to assess its performance. The findings provide insights into the model's strengths and limitations, offering a valuable perspective on its suitability for real-world network protection. This research demonstrates the potential of K-Nearest Neighbors in shielding the digital realm, reinforcing network security, and exemplifying the efficacy of machine learning in countering evolving cyber threats. It underscores the significance of proactive measures in preserving the integrity and confidentiality of digital assets in an increasingly interconnected world.
Enhancing Road Safety through Dynamic Threat Detection in Vehicular Ad Hoc Networks Nugroho, Agung; Sasongko, Ananto Tri
Proceeding International Pelita Bangsa Vol. 1 No. 01 (2023): September 2023
Publisher : DPPM Universitas Pelita Bangsa

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This paper presents a comprehensive literature survey focused on the critical topic of enhancing road safety through dynamic threat detection in Vehicular Ad Hoc Networks (VANETs). As our world becomes increasingly interconnected, road users’ safety is paramount, and VANETs have emerged as a promising solution for improving road safety by enabling real-time communication among vehicles and infrastructure. Our survey delves into the existing body of knowledge, summarizing key findings, methodologies, and advancements in the field of dynamic threat detection within VANETs. We analyze various approaches, including sensor-based systems, machine learning algorithms, and communication protocols, that have been proposed and evaluated in the literature. Furthermore, this survey explores the challenges and open issues in VANET-based road safety enhancement, such as privacy concerns, scalability, and the need for standardized communication protocols. We highlight the significance of adapting dynamic threat detection techniques to the unique characteristics of VANETs, where network conditions and the threat landscape can change rapidly. By synthesizing insights from existing research, this survey provides a valuable resource for researchers, practitioners, and policymakers seeking to understand the state of the art in VANET-based road safety and identify promising directions for future investigations. It underscores the importance of continued research to make our roads safer for all.
Co-Authors Afiyah, Neni Nur Andri Firmansyah Asep Suprianto Dasman, Sunita Dedi Afandi Dwi Astuti Muhamad Ekhsan Nugroho, Agung Pratifi, Via Khusnul Putry, Jwasky Budy Eswa Rahardjo, Sugeng Budi Santosa, Risam Sari, Putri Anggun Suprapto Suprapto Suwandi Suwandi Wahyu Hadikristanto Yuan Badrianto Zy, Ahmad Turmudi