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Roslina Roslina, Roslina
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Journal : TEKNIK INFORMATIKA

 1 
Anomaly Detection in Computer Networks Using Isolation Forest in Data Mining Lubis, Hartati Tammamah; Roslina, Roslina; Tanti, Lili
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i1.44285

Abstract

The rapid growth of network data has increased the complexity of detecting anomalies, which are crucial for ensuring the security and integrity of information systems. This study investigates the use of the Isolation Forest algorithm for anomaly detection in network traffic, utilizing the Luflow Network Intrusion Detection dataset, which contains 590,086 records with 16 features related to network activities. The methodology encompasses data preprocessing (cleaning, normalization, and feature scaling), feature selection (bytes in, bytes out, entropy, and duration), model training, and performance evaluation. The results demonstrate that Isolation Forest can effectively identify anomalies based on feature patterns, isolating suspicious data points without the need for labeled datasets. However, performance metrics, such as accuracy (42.92%), precision (14.37%), recall (2.87%), and F1-score (4.79%), reveal challenges such as high false-positive rates and low sensitivity to true anomalies. These findings highlight the potential of the algorithm for dynamic, high-dimensional datasets but also indicate the need for further improvements through hyperparameter tuning, feature engineering, and alternative approaches. This study contributes to the development of adaptive anomaly detection frameworks for network security and suggests future integration into real-time systems for proactive threat mitigation. The study's findings are particularly relevant for enhancing network security in environments such as corporate and governmental networks, where real-time anomaly detection is crucial.
Co-Authors . Elvitriana AA Sudharmawan, AA Abdul Azis Abdul Rasyid Afadil Agus Wahyuni, Agus Wahyuni Agustini, Putri Ayu Ali, Marzuki Made Almukarramah, Almukarramah Amelia, Afritha Aminuyati Amrina Octaviana Andalia, Nurlena Angeli, Visca Pasha Anriza Witi Nasution ARDIYANTI, YUNI Arifin, Moh. Zainal Armi, Armi Azzahra, Afifah Bakti Viyata Sundawa Berliana, Eva Binti Abdul Rahman, Rahimah Bt Mohamad Zain, Jasni Burhanuddin AG Burhanuddin Burhanuddin Cut Nurul Fahmi Dalimunthe, Yulia Agustina Desi Sri Pasca Sari Sembiring, Desi Sri Pasca Sari Dwi Asri Siti Ambarwati Dwi Indah Putrianingsih, Dwi Indah Elvaretta, Devina Evi Apriana Fahlepi, Muhammad Iqbal Fitria, Suci Gandura, Nurhayati Husainah, Husainah Ika Fitria Elmeida Ilyas Ismail Iman Jauhari INDRASARI, NELLY Islamiah, Raudah Istyqomah, Ajeng Jamaludin M Sakung Julia, Angelica Jusuf, Abdul Hafid Karina, Luna Khairul Asri Khamidah, Yuyun Kurnia Prastyanti Latief, Syekh Adiwijaya Lili Tanti, Lili Lilik Hasanah Lubis, Hartati Tammamah Lukmanul Hakim Marlina Marlina Milasari Milasari Mohamad Zain, Jasni Bt Muhammad Iqbal S Muhammad Ridhwan Muhammad Sadikin Muliati Muliati, Muliati Nabila, Nuzul Nashruddin Nashruddin Nashruddin, Nashruddin Ninda Putri Nur Afni Nur Ainun Nur Ainun, Nur Ainun Nurhayati B Nurlela Nurlela Nurlinda Nurlinda, Nurlinda Nurul Husna Nuzul Inas Nabila, Nuzul Inas Otang Kurniaman Paulus Hengky Abram Pribadi, Banu Afwan Puspitasari, Mutiara Putra, Purwa Hasan Rachmawaty Rachmawaty, Rachmawaty Rahman , Fathur Ramadhan, Riyan Ramelan, Mudji Rachmat Rika Rosnelly, Rika Rini Sulastri Riyanto Riyanto Riza, Saiful Rizky, Putri Nurhanida Rosmadewi, Rosmadewi Saharani, Meriska Sari Santoso, Monique Permata Sari, Wina Janustisia Siregar, Arninda Sekar Sari Sri Setiawati, Sri Setiawati Suherman, Herry Susilawati, Susilawati Syahrizal Abbas Tarmizi, Putri Teddy Surya Gunawan Tengku Riza Zarzani N Unggul Wahyono W.P, M. Firas Wanayumini Wastiani, Ima Winny Liliawati Wulansari , Dita Yeyen Putriana Yunus, Yana Amelia Yusoff, Marina Zariul Antosa