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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal IPTEK Bagi Masyarakat
Hamsar, Ali
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Mechanical Engineering Physics Public Health Social Sciences

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Frequent Pattern Mining for Cyberattack Detection Using FP-Growth on Network Traffic Logs Hamsar, Ali; Maulana, Fajar; Hendra, Yomei; Nasyuha, Asyahri Hadi; Aly, Moustafa H
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15221

Abstract

Cybersecurity threats have become increasingly complex, coordinated, and adaptive, creating significant challenges for traditional intrusion detection systems (IDS) that rely on static, signature-based mechanisms. These systems often fail to recognize novel, evolving, or multi-vector attacks that do not match predefined patterns. To overcome these limitations, this study proposes a data-driven framework that applies the Frequent Pattern Growth (FP-Growth) algorithm to analyze co-occurring events within network traffic logs. Using the CIC-IDS2017 benchmark dataset, which includes a wide range of real-world attack scenarios, network events were preprocessed and transformed into transactional data. This transformation enabled the efficient extraction of frequent itemsets and association rules without the computational burden of candidate generation. The experimental results show that the proposed method effectively uncovers meaningful attack correlations, such as brute force attempts preceding privilege escalation or malware infections leading to large-scale DDoS attacks. The model achieved a precision of 77.27%, recall of 70.83%, and F1-score of 73.91%, confirming its reliability in detecting sophisticated attack chains. A heatmap visualization was also generated to improve interpretability, allowing security analysts to quickly identify critical attack relationships. In conclusion, this research demonstrates that FP-Growth provides a scalable, interpretable, and computationally efficient approach to cyberattack detection, with potential integration into real-time IDS environments. Future work will focus on temporal sequence mining and hybrid models combining FP-Growth with machine learning to enhance adaptive, context-aware threat detection.
Pendidikan Literasi Digital untuk Menguatkan Kesadaran Keamanan Data pada Masyarakat Pedesaan di Desa Tobek Godang Hamsar, Ali; Nasyuha, Asyahri Hadi
Jurnal IPTEK Bagi Masyarakat Vol 5 No 1 (2025)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i1.1306

Abstract

Tobek Godang Village in Binawidya is undergoing a digital transformation in areas such as village administration, MSME product marketing, and communication through social media. However, limited levels of digital literacy among the community, particularly regarding data security, have created vulnerabilities to identity theft, information misuse, and cyberattacks. This situation highlights the need for educational interventions focused on enhancing awareness and skills in data protection. The program aimed to strengthen the community’s capacity to address digital threats by emphasizing simple yet effective practices for safeguarding information. The program was implemented over a three-month period, involving 50 participants consisting of village officials and MSME actors. The methods employed included initial observation, interactive workshops, practical simulations of digital security measures, and intensive mentoring. Evaluation was carried out through pre- and post-tests to assess improvements in understanding. The results indicated an average increase of 45% in digital security knowledge, with 82% of participants successfully applying stronger password practices, installing reliable security software, and adopting safer online behaviors. The program also produced tangible outputs, including a training module, technical manual, and educational videos designed for continued use. In conclusion, this participatory training approach proved effective in improving digital security literacy at the village level. It is recommended that this model be adapted in other rural communities as a systematic effort to strengthen community resilience in the digital era.
Co-Authors Aly, Moustafa H Asyahri Hadi Nasyuha Hendra, Yomei Maulana, Fajar