An efficient Android malware detection method using Borutashap algorithm
Journal Title: International Journal of Experimental Research and Review - Year 2023, Vol 34, Issue 5
Abstract
The Android operating system captures the largest global smartphone market share. However, its popularity and open-source nature have garnered the attention of cybercriminals. The landscape of Android malware has evolved significantly over time. Traditional techniques for detecting Android malware are encountering difficulties in keeping up with this evolution. Specifically, methods that rely on extracting various features from Android applications are becoming difficult to implement as high-dimensional feature sets incur huge computational overheads when employed with machine learning algorithms. Therefore, this research proposes using Bortua and BorutaShap feature selection algorithms to choose features that contribute to detecting malicious Android applications. It uses static and dynamic features of Android applications to create a detection model for verification and evaluation of the mentioned algorithms. Experimental results showed that Bortua and BorutaShap algorithms offer promising results by achieving the highest accuracy of approximately 99%.
Authors and Affiliations
Sandeep Sharma, Prachi . , Rita Chhikara, Kavita Khanna
Keywords
Related Articles
- EP ID EP722923
- DOI https://doi.org/10.52756/ijerr.2023.v34spl.009
- Views 23
- Downloads 0
Formulation and evaluation of organic handwash prepared from herbal extracts
The scientific study linked to the physical, chemical, biological, and structural characterization of drugs along with their history of cultivation, collection and preparation for marketing and preservation, is defined a...
Study on the toxicity of neem (Azadirachta indica A. Juss) leaf extracts as phytopiscicide on three life stages of Mozambique tilapia (Oreochromis mossambicus Peters) with special reference to their ethological responses
Acute toxicity of leaf extracts of neem (Azadirachta indica A. Juss) on three different stages of fresh water weed fish Oreochromis mossambicus was investigated in the present study. The 24, 48, 72 and 96 h LC50 values f...
Chronic kidney disease a global public health problem: approaches and some initiatives
In the present study an attempt has been made to analysis of the chronic kidney disease (CKD) which is a global public health problem. Understanding the relationship between CKD and other chronic diseases is important to...
A review on Ornithology of Kolkata metropolitan area
Birds are considered excellent bio-indicators and ideal models for predicting environmental changes due to the effects of urbanization on ecosystems since they are highly diverse and conspicuous biota of the ecosystem. B...
Android-based Corn Disease Automated Recognition Tool Using Convolutional Neural Network
One of the most significant crops in the world today, corn, is under attack from several diseases. Typically, visual review and evaluation are used to identify diseases, but they are regarded as being unreliable. Corn fa...