Machine learning algorithm for malware detection: Taxonomy, current challenges, and future directions

NZ Gorment, A Selamat, LK Cheng, O Krejcar - IEEE Access, 2023 - ieeexplore.ieee.org
Malware has emerged as a cyber security threat that continuously changes to target
computer systems, smart devices, and extensive networks with the development of …

A recent research on malware detection using machine learning algorithm: Current challenges and future works

NZ Gorment, A Selamat, O Krejcar - Advances in Visual Informatics: 7th …, 2021 - Springer
Each year, malware issues remain one of the cybersecurity concerns since malware's
complexity is constantly changing as the innovation rapidly grows. As a result, malware …

Permission Sensitivity‐Based Malicious Application Detection for Android

Y Song, Y Geng, J Wang, S Gao… - Security and …, 2021 - Wiley Online Library
Since a growing number of malicious applications attempt to steal users' private data by
illegally invoking permissions, application stores have carried out many malware detection …

Prediction of stunting prevalence in east java province with random forest algorithm

MS Haris, M Anshori, AN Khudori - Jurnal Teknik Informatika …, 2023 - jutif.if.unsoed.ac.id
Stunting or cases of failure to thrive in toddlers is one of the most serious health problems
faced by the people of Indonesia. Based on data from the Ministry of Health and the Central …

Predicting heart disease using logistic regression

M Anshori, MS Haris - Knowledge Engineering and …, 2022 - repository.itsk-soepraoen.ac.id
A common risk of death is caused by heart disease. It is critical in the field of medicine to be
able to diagnose cardiac disease in order to adequately prevent and treat patients. The most …

Supervised Learning Methods Comparison for Android Malware Detection Based on System Calls Referring to ARM (32-bit/EABI) Table

RZ Alhamri, TA Cinderatama… - Journal of Information …, 2024 - jurnal.untag-sby.ac.id
Android malware detection research is a topic that is still being developed. From all the
detection techniques developed, dynamic analysis methods have become interesting …

Using GAN to Generate Malicious Samples Suitable for Binary Classifier Training

S Pioroński, T Górecki - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
Assigning data to one of two predefined classes is called a classification problem in
machine learning (ML). This problem is very important and has become very popular, which …

Support vector model to predict smartphone addiction in early adolescents

M Anshori, G Pangestu - AIP Conference Proceedings, 2024 - pubs.aip.org
Smartphones are an object that is always carried everywhere and cannot be separated from
everyday life. Smartphones were created with various purposes and features present in …

Malware Analysis Using Machine Learning and Deep Learning

R Gupta, P Kumar, S Rani, A Gupta… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Malware is a severe danger to everyone from home users to huge corporations. As a result,
it's a popular research topic. Malware fingerprints and activity patterns are analyzed both …

Prediksi Pasien dengan Penyakit Kardiovaskular Menggunakan Random Forest

M Anshori, N Rikatsih, MS Haris - TEKTRIKA-Jurnal …, 2022 - journals.telkomuniversity.ac.id
Cardiovascular disease adalah salah satu penyakit mematikan di dunia. Hal ini dibuktikan
dengan data yang dikeluarkan oleh WHO yang menunjukkan kasus kematian sekitar 18 …