Understanding the Root of Attack in Android Malware

Romli, Rahiwan Nazar; Zolkipli, Mohamad Fadli; Almaarif, Ahmad; Ramli, Muhamad Ramiza; Salamat, Mohamad Aizi

doi:10.30880/ijie.2018.10.06.029

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…School closures have impact in the change of learning system from initially face-to-face become online learning. Online learning is media set in many formats such as text, picture, and video, that can be accessed by internet (Romli, 2018). From the definition, online learning can be interpreted as a learning system that arrange a meeting between student and instructor via media that is connected to the internet.…”

Section: Introductionmentioning

confidence: 99%

Effect of Zoom fatigue on health and learning loss in students during the COVID-19 pandemic

Permana

Kusnadi²,

Marpaung³

et al. 2023

jitp

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Covid-19 pandemic causes all face-to-face activities converted to distance or virtual meetings, including educational learning system. These days, the majority educational institutions in Indonesia still implement distance learning via video conference platforms. This primary research aims to discover how Zoom Fatigue affects health and causes learning loss in university students across Java. The methodologies used in this research are qualitative and quantitative. To specify this research, the population is set to students who study at several universities in Java, with 50 samples being Multimedia Nusantara University students and the other 50 sample are being students from other universities in Java. The techniques used to collect data are observation and questionnaire via Google Forms. After analyzing responses, the result shows that most students experience health issues such as eyesight issues, exhaustion, and saturation. Moreover, most students also go through some issues when it comes to the learning process, they experience a decrease of learning motivation and have trouble concentrating. Nevertheless, their academic records are stable and some even stated that their grades are increasing when compared to face-to-face learning systems, this fact shows that in-class learning is not the only source of information used by students to support their academic performance, but there are other sources of information such as internet where students can look up information from online article and scientific journals.

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Section: Introductionmentioning

confidence: 99%

Effect of Zoom fatigue on health and learning loss in students during the COVID-19 pandemic

Permana

Kusnadi²,

Marpaung³

et al. 2023

jitp

View full text Add to dashboard Cite

show abstract

“…After all the information about the network API is obtained, an analysis of network traffic is recorded while running malware in a virtual environment using Wireshark. Analysis carried out on the results of capturing network traffic is to look at the behavior of malware on network traffic, the payload carried by malware, and the measurement of traffic between normal traffic and malicious traffic that has been infected with malware [22].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Malware Impact on Network Traffic using Behavior-based Detection Technique

Muhtadi

Almaarif

2020

Int. J. Adv. Data Inf. Syst.

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Malware is a software or computer program that is used to carry out malicious activity. Malware is made with the aim of harming user’s device because it can change user’s data, use up bandwidth and other resources without user's permission. Some research has been done before to identify the type of malware and its effects. But previous research only focused on grouping the types of malware that attack via network traffic. This research analyzes the impact of malware on network traffic using behavior-based detection techniques. This technique analyzes malware by running malware samples into an environment and monitoring the activities caused by malware samples. To obtain accurate results, the analysis is carried out by retrieving API call network information and network traffic activities. From the analysis of the malware API call network, information is generated about the order of the API call network used by malware. Using the network traffic, obtained malware activities by analyzing the behavior of network traffic malware, payload, and throughput of infected traffic. Furthermore, the results of the API call network sequence used by malware and the results of network traffic analysis, are analyzed so that the impact of malware on network traffic can be determined.

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Efficient feature selection analysis for accuracy malware classification

Romli

Zolkipli

Osman

2021

J. Phys.: Conf. Ser.

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Android is designed for mobile devices and its open-source software. The growth and popularity of android platform are high compared to another platform. Due to its glory, the number of malware has been increasing exponentially. Android system used a permission mechanism to allow users and developers to manage their access to private information, system resources, and data storage required by Android applications (apps). It became an advantage to an attacker to violent the data. This paper proposes a novel framework for Android malware detection. Our framework used three major methods for effective feature representation on malware detection and used this method to classify malware and benign. The result demonstrates that the Random forest is with 23 features is more accurate detection than the other machine learning algorithm.

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Understanding the Root of Attack in Android Malware

Cited by 3 publications

References 8 publications

Effect of Zoom fatigue on health and learning loss in students during the COVID-19 pandemic

Effect of Zoom fatigue on health and learning loss in students during the COVID-19 pandemic

Analysis of Malware Impact on Network Traffic using Behavior-based Detection Technique

Efficient feature selection analysis for accuracy malware classification

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