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All Journal Scientific Journal of Informatics Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal Informatika: Jurnal Pengembangan IT
Muhammad Yusuf Bambang Setiadji
Sekolah Tinggi Sandi Negara
Computer Science & IT Electrical & Electronics Engineering

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Utilizing Reverse Engineering Technique for A Malware Analysis Model Amiruddin, Amiruddin; Suryani, Putri Nur Halimah; Santoso, Shandika Dianaji; Setiadji, Muhammad Yusuf Bambang
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.24755

Abstract

Purpose: Malicious software or malware is a real threat to the security of computer systems or networks. Researchers made various attempts to find information and knowledge about malware, including preventing or even eliminating it. One effort to detect it is using a malware dynamic analysis model based on reverse engineering techniques. However, there are many reverse engineering techniques proposed with various stages and requirements in the literature. Methods: This research uses an experimental method. The object of research is a malware analysis model using reverse engineering techniques. The experimental method used is qualitative, collecting data related to the advantages and disadvantages of the reverse engineering-based malware analysis models used as a reference in this study. The data is used as consideration to propose a new model of malware analysis utilizing reverse engineering techniques. Result: In this study an analysis model of malware was proposed by synthesizing several reverse engineering-based malware analysis models. Novelty: The proposed model was then tested in a virtual environment where it is proven to be more effective than previous models for analyzing malware.
Lightweight Method for Detecting Fake Authentication Attack on Wi-Fi Muhammad Yusuf Bambang Setiadji; Ramadhan Ibrahim; Amiruddin Amiruddin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.2003

Abstract

Wireless networks, despite providing better access and flexibility, have vulnerabilities that are easier to realize compared to wired networks. Fake authentication attack can be taken by an attacker prior to carrying out a Man in the Middle attack to intercept the other party's communication. Such an attack is generally carried out in public places that provide free Wi-Fi access. Detection of fake authentication is necessary to maintain communication success. Several methods have been applied to detect fake authentication such as the use of Wireless Intrusion Detection System (WIDS) or certificates on Transport Layer Security (TLS). However, attackers can trick the use of WIDS or TLS. Moreover, the WIDS and TLS techniques require large costs and computations. In this study, a lightweight method based on the comparison of BSSID/MAC address for detecting fake authentication is proposed. The lightweight method is implemented by creating an application that runs on Android mobile phones, and Linux operating system. We compared the detection performance of the device with the proposed application and the one without the proposed application. It can be concluded that the proposed method using comparison of BSSID / MAC address is an effective way to detect fake authentication attacks on Wi-Fi networks.
Enhancing Security in Cross-Border Payments: A Cyber Threat Modeling Approach Amiruddin, Amiruddin; Briliyant, Obrina Candra; Windarta, Susila; Setiadji, Muhammad Yusuf Bambang; Priambodo, Dimas Febriyan
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.3205

Abstract

Cross-border payment (CBP) systems are critical to the global economy but are increasingly susceptible to cyber threats due to their complex structures and diverse transaction models. This paper analyzes cyber vulnerabilities across four CBP models: correspondent banking (SWIFT), infrastructure (ApplePay), closed-loop (PayPal), and peer-to-peer (Ripple). It employs the STRIDE methodology and adapts the cyber threat modeling framework proposed by Khalil et al. Key objectives include identifying vulnerabilities, assessing the impact of threats, and proposing mitigation strategies. The corresponding banking model shows the highest threat impact due to extensive transaction elements crossing trust boundaries. In contrast, the closed-loop model demonstrates lower vulnerability because of fewer components outside its trust boundary. Peer-to-peer and infrastructure models present moderate risk levels influenced by blockchain transparency and infrastructure dependencies. Critical threats identified include abuse of authority, malware, and script injection, which can result in significant losses, such as financial theft, service outages, and data breaches. Results indicate that interactions between processes across trust boundaries exacerbate cyber risks. Strategic recommendations include reducing system complexity, reinforcing security protocols at trust boundaries, and integrating advanced threat detection mechanisms. The study highlights these vulnerabilities and risks and underscores the need for robust cybersecurity measures to protect CBP systems. This research contributes to the existing knowledge by providing a detailed threat assessment and practical insights for improving CBP security. Future studies should explore alternative modeling methods, update security contexts to reflect real-world scenarios, and analyze the impact of open banking technologies.
Embedded Wids Kismet Sebagai Perangkat Deteksi Serangan Data Link Layer Wi-Fi Access Point Fachrurozy, Rizky; Setiadji, Muhammad Yusuf Bambang; Priambodo, Dimas Febriyan
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 1 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i1.4551

Abstract

The rapid development of wireless network technology has an impact with a significant increase of users. Wi-Fi is one of the wireless technologies that is currently used widely by humans as a medium of transmission to exchange information. The increasing in the number of users is directly proportional to the increase the risk of crime occurring. In this case an attack on a Wi-Fi network aimed at taking certain advantage of the user or it’s victim was done by threatening aspects of information security. Wireless Intrusion Detection System (WIDS) is a tool used to detect intrusions that occur against wireless network technology, one of it is Wi-Fi into the form of logs. Kismet is one of the wids that is free and opensource with complete WiFi attack detection capability. The implementation of WIDS Kismet applied to Raspberry Pi 4 was shown as an alternative wids device that has a low cost for use in small Wi-Fi network environments such as home networks or small enterprise. The analysis is done by calculating the performance of accuracy, precision, recall, and f-measure values from the implementation results using confusion matrix method. The result of the calculation obtained by the highest value for each calculated performance with 99.83% accuracy, 97.96% precision, 100% recall, and 98.9% fmeasure. The calculation aims to provide information that can be utilized for users who want to do a similar implementation and use it to detect Wi-Fi networks. 
Co-Authors Amiruddin Amiruddin Amiruddin Amiruddin Amiruddin, Amiruddin Briliyant, Obrina Candra Dimas Febriyan Priambodo Fachrurozy, Rizky Ibrahim, Ramadhan Ramadhan Ibrahim Santoso, Shandika Dianaji Suryani, Putri Nur Halimah Windarta, Susila