Analisis Data Log IDS Snort dengan Algoritma Clustering Fuzzy C-Means

Paramitha, Ida Ayu Shinta Dewi; Sasmita, Gusti Made Arya; Raharja, I Made Sunia

doi:10.24843/mite.2020.v19i01.p14

Cited by 3 publications

(4 citation statements)

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“…The criteria were made according to a statement "Criterion 1 is more important than criterion 2, which is more important than criterion 3" and so forth up to the n-th criterion. The determination priority rules was the the highest value was the most important value compared to other values so that [24], [25],…”

Section: Rank Order Centroidmentioning

confidence: 99%

The Application of Weighted Ranking Method Using Combination of ROC and CPI to Select Eligible Family for Keluarga Harapan Program Aids

Laswi,

Ulvah,

Dasril

2023

Ilk. J. Ilm.

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The Keluarga Harapan Program (KHP), a financial assistance, is a program launched by the government to deal with poverty in various regions of Indonesia by conducting direct surveys and collecting data on disadvantaged families in each region. However, the issue is that many recipients do not meet the appropriate criteria or are not categorized as recipients. The Composite Performance Index and Rank Centeroid algorithms are a solution in the selection process for the recipients for the KHP by carrying out the analysis and comparison stages of whether they are categorized as KM (Disadvantage Families) through several stages. The results obtained based on analysis for recipient selection with a minimum performance index coverage value of 70% can be categorized as eligible to receiv assistance. In this study, 50 KM data samples were taken with the highest assessment value 128.41. In the top tenth ranking of the highest score from the 50 data held indicated that they were truly entitled to receive PKH KM financial assistance. Before using this method, only around 40% was eligible recipients.

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Section: Rank Order Centroidmentioning

confidence: 99%

The Application of Weighted Ranking Method Using Combination of ROC and CPI to Select Eligible Family for Keluarga Harapan Program Aids

Laswi,

Ulvah,

Dasril

2023

Ilk. J. Ilm.

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“…Tahapan encoding dan konversi data deret waktu menjadi citra yang disediakan oleh pustaka pyts dijabarkan dalam algoritma 1 dan algoritma 2. Python adalah salah satu bahasa pemrograman yang saat ini populer digunakan untuk komputasi saintifik seperti pengolahan citra serta beragam problem solving berbasis pembelajaran mesin dan pembelajaran mendalam seperti pada [21] serta untuk membangun sistem kontrol seperti kontrol robotika pada [22]. Hal ini didukung karena Python merupakan bahasa pemrograman tingkat tinggi yang mudah dipahami, open source (tidak membutuhkan biaya lisensi), memiliki dukungan pustaka yang sangat lengkap dan portabilitasnya yang baik karena bisa dijalankan di berbagai platform perangkat keras maupun perangkat lunak (sistem operasi komputer).…”

Section: Image Encoding (Gaf Dan Mtf)unclassified

Analisis Komputasi Paralel pada Image Encoding Framework untuk Konversi Citra Data Deret Waktu Sistem Kontrol Industri

Rahadian,

Wahid,

Arifin

2023

JTE

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Sensor pada sistem kontrol industri mengirimkan serangkaian data tiap waktu dikenal dengan data deret waktu ke kontroler. Data memiliki informasi penting bagi kontroler untuk menentukan sinyal kontrol bagi aktuator. Munculnya anomali pada data deret waktu dapat dideteksi dengan metode Convolutional Neural Network (CNN) memanfaatkan teknik image encoding seperti Gramian Angular Field (GAF) dan Markov Transition Field (MTF). Teknik ini mengubah data deret waktu menjadi citra melalui serangkaian tahap mulai persiapan data, encoding data, dan konversi citra. Pembagian data berukuran besar menjadi sejumlah segmen yang lebih kecil membutuhkan proses encoding dan konversi yang berulang. Proses berulang yang dikerjakan secara serial membutuhkan waktu yang lama sehingga memperlambat deteksi anomali dan tanggapan yang harus dilakukan. Penelitian ini menerapkan komputasi paralel dengan Joblib dan Mpire pada image encoding GAF dan MTF yang disediakan oleh pustaka pyts berbasis Python. Konfigurasi n_jobs menentukan jumlah inti logika CPU yang digunakan untuk mengeksekusi program. Penerapan nilai n_jobs = 8 yang disesuaikan dengan jumlah inti logika CPU komputer penelitian menghasilkan penghematan waktu proses rata-rata sebesar 63% (Joblib) dan 49% (Mpire) yang secara teoritis akan mampu mendeteksi anomali yang muncul minimal tiap 62.73 ms (Joblib) dan 86.20 ms (Mpire) dibandingkan dengan komputasi serial yakni setiap 167.51 ms.

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“…Snort merupakan salah satu sistem deteksi intrusi (IDS) open source yang banyak digunakan untuk mendeteksi intrusi atau aktivitas mencurigakan pada lalu lintas jaringan (Paramitha et al, 2020). Snort merupakan salah contoh program dari Network-based Intrusion Detection System (Sandi & Arrofiq, 2018).…”

Section: Jiskaunclassified

“…Fitur utama Snort yang membedakan dengan TcpDump adalah payload inspection, di mana Snort melakukan analisis payload rule set yang disediakan (Dewi, 2017). Data log IDS Snort ini dapat dimanfaatkan oleh administrator jaringan untuk menganalisis performa sistem keamanan jaringan (Paramitha et al, 2020).…”

Section: Jiskaunclassified

Pemanfaatan Network Forensic Investigation Framework untuk Mengidentifikasi Serangan Jaringan Melalui Intrusion Detection System (IDS)

Widodo

Aji

2022

JISKa

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Intrusion Detection System (IDS) is one of the technology to ensure the security of computers. IDS is an early detection system in the event of a computer network attack. The IDS will alert the computer network administrator in the event of a computer network attack. IDS also records all attempts and activities aimed at disrupting computer networks and other computer network attacks. The purpose of this study is to implement IDS on network systems and analyze IDS logs to determine the different types of computer network attacks. Logs on the IDS will be analyzed and will be used as leverage to improve computer network security. The research was carried out using the Network Forensic Investigation Framework proposed by Pilli, Joshi, and Niyogi. The stages of the Network Forensic Investigation Framework are used to perform network simulations, analysis, and investigations to determine the types of computer network attacks. The results show that the Network Forensic Investigation Framework facilitates the investigation process when a network attack occurs. The Network Forensic Investigation Framework is effectively used when the computer network has network security support applications such as IDS or others. IDS is effective in detecting network scanning activities and DOS attacks. IDS gives alerts to administrators because there are activities that violate the rules on the IDS.

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Analisis Data Log IDS Snort dengan Algoritma Clustering Fuzzy C-Means

Cited by 3 publications

References 0 publications

The Application of Weighted Ranking Method Using Combination of ROC and CPI to Select Eligible Family for Keluarga Harapan Program Aids

The Application of Weighted Ranking Method Using Combination of ROC and CPI to Select Eligible Family for Keluarga Harapan Program Aids

Analisis Komputasi Paralel pada Image Encoding Framework untuk Konversi Citra Data Deret Waktu Sistem Kontrol Industri

Pemanfaatan Network Forensic Investigation Framework untuk Mengidentifikasi Serangan Jaringan Melalui Intrusion Detection System (IDS)

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