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All Journal The Journal of Information Technology, Computer Science, and Electrical Engineering
Yusfrizal Yusfrizal
Politeknik Gihon

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Educating on Mobile Computing and Security Practices Yusfrizal Yusfrizal; Heri Gunawan; Yahya Tanjung
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.153

Abstract

With the increasing popularity of mobile devices, it has become essential to educate college and university students about mobile computing and security. This paper introduces eight course modules on mobile computing and security that we designed to integrate seamlessly into a computer science curriculum. These modules were showcased during a faculty workshop, where feedback was gathered through survey questionnaires and participants' reflective narratives. The evaluation results from the workshop are analyzed and discussed in this paper. These modules are adaptable for educators teaching mobile application development, cyber security, or other related subjects.
Hybrid Analysis Approach for Detecting Mobile Security Threats Yusfrizal Yusfrizal; Mutiara Sovina; Faisal Amir Harahap; Ivi Lazuly
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.154

Abstract

As technology continues to advance rapidly, smartphones are becoming increasingly powerful, drawing a large number of users with innovative features provided by mobile operating systems like Android. However, the security vulnerabilities of these systems make Android devices frequent targets for hackers and cyber criminals. As a result, research on effective and efficient mobile threat analysis has become a critical topic in the field of cyber security, employing methods such as static and dynamic analysis. This paper proposes a hybrid approach that combines static and dynamic analysis to detect security threats and attacks in mobile applications. The proposed method integrates data states and software execution along critical test paths. Initially, static analysis is used to identify potential attack paths based on Android APIs and existing attack patterns. This is followed by dynamic analysis, which executes the program along these paths within a focused scope to determine the likelihood of an attack by comparing detected paths with known attack patterns. In the runtime phase of dynamic analysis, the approach reports types of attack scenarios related to confidential data leakage, such as web browser cookies, while ensuring no actual critical or protected data on mobile devices is accessed.
Co-Authors Faisal Amir Harahap Heri Gunawan Ivi Lazuly Mutiara Sovina Yahya Tanjung