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Journal : CSRID

Malware Detection pada Static Analysis Windows Portable Executable (PE) Menggunakan Support Vector Machine dan Decision Tree Mohammad Mirza Qusyairi; Rio Guntur Utomo; Rahmat Yasirandi
Computer Science Research and Its Development Journal Vol. 15 No. 2: June 2023
Publisher : LPPM Universitas Potensi Utama

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Abstract

Malware has become a major issue for computer system security today. Due to its ability to spread rapidly and negatively impact system performance, malware detection becomes crucial. One of the methods for malware detection is performing classification using Machine Learning, which learns the variable values of an application without executing it. In this study, the author evaluates the method of malware detection in the static analysis of Windows Portable Executable (PE) using Support Vector Machine (SVM) and Decision Tree. The author uses a dataset of PE files related to malware and safe applications from malware Using SVM and Decision Tree algorithms to classify the PE files as malware or not, determining the best machine learning algorithm for malware detection in PE files.
Malware Detection pada Static Analysis Windows Portable Executable (PE) Menggunakan Support Vector Machine dan Decision Tree Qusyairi, Mohammad Mirza; Rio Guntur Utomo; Rahmat Yasirandi
CSRID (Computer Science Research and Its Development Journal) Vol. 15 No. 2: June 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Malware has become a major issue for computer system security today. Due to its ability to spread rapidly and negatively impact system performance, malware detection becomes crucial. One of the methods for malware detection is performing classification using Machine Learning, which learns the variable values of an application without executing it. In this study, the author evaluates the method of malware detection in the static analysis of Windows Portable Executable (PE) using Support Vector Machine (SVM) and Decision Tree. The author uses a dataset of PE files related to malware and safe applications from malware Using SVM and Decision Tree algorithms to classify the PE files as malware or not, determining the best machine learning algorithm for malware detection in PE files.
Co-Authors Afif Dhiaulhaq Ainun Azizah Aji Gautama Putrada Alfitranta Armikha Zahri Alifudin, Ridhwan Andi Annisa Shalsa Hardiyanti AS Andrian Rakhmatsyah Annisa Gustien Widowati Annisa Marwa Nursantoso Anom, Rahmat Indira Pratama Arif Indra Irawan Ariq Musyaffa Ramadhani Arrauf, Moh Fawwaz Asyfa Dwi Olyvia Bernadus Ricardo Saputra Cintya Risquna Risquna Danu Fawwaz Gimnastian Devani Adi Permana Dita Oktaria Doan Perdana Emiya Fefayosa Br Tarigan Endro Ariyanto Erlandya, Moch Rizky Gumelar Erwin Susanto Falea Amira Nafisa Fauzi Fadhlurrahman Susanto Febrianti, Amalia Rizki Hamzah Misbachul Adlan Hans Prabowo Hilal Hudan Nuha Irvan Naufali Rahmanto Isa Mulia Insan Jati Hiliamsyah Husen Jati, Riyan Kuncoro Joel Andrew M. K. Ginting Kimberly Kailla Kobthong Ladkoom Krisna Ardhi Tama M Alvie Helmuzar M. Deta Gian Faiz Maman Abdurohman Maslin Masrom Maulidatul Aulia Zahib Mirza Qusyairi, Mohammad Mohamad Arya Mandalika Mohammad Mirza Qusyairi Muhammad Aditya Tisnadinata Muhammad Al Makky Muhammad Faridz Setiawan Muhammad Faris Ruriawan Muhammad Johan Alibasa Muhammad Karoma Yuda Muhammad Kukuh Alif Lyano Muhammad Mirza Qusyairi Muhammad Rizki Adiwiganda Muhlis Anwar Nasruddin, Itsna Siha Arzaqi Adma Novian Anggis Suwastika Nuha, Hilal H Parman Sukarno Qonita, Qori Qusyairi, Mohammad Mirza Rahmat Indra Pratama Anom Rahmat Irianto Raihan Armadyana Ramadhan, Arga Revi Raka Putra Ridha Muldina Negara Ridhwan Alifudin Rio Guntur Utomo Santiago Paul Erazo Andrade Seiba Shonia Sidik Prabowo Sri Rezeki Stelamaris, Bonefasia Salvatore Sukmaji, Muhammad Thanasopon, Bundit Thasya Nurul Wulandari Siagian Wajdi, Halim Zaky Jacoeb , Yusoff