Hybrid-based malware analysis for effective and efficiency android malware detection

RB Hadiprakoso, H Kabetta… - … , Multimedia, Cyber and …, 2020 - ieeexplore.ieee.org
In the last decade, Android is the most widely used operating system. Despite this rapidly
increasing popularity, Android is also a target for the spread of malware. Android admits the …

Using a subtractive center behavioral model to detect malware

Ö Aslan, R Samet, ÖÖ Tanrıöver - Security and Communication …, 2020 - Wiley Online Library
In recent years, malware has evolved by using different obfuscation techniques; due to this
evolution, the detection of malware has become problematic. Signature‐based and …

Effective and Efficient Android Malware Detection and Category Classification Using the Enhanced KronoDroid Dataset

M Waheed, S Qadir - Security and Communication Networks, 2024 - Wiley Online Library
Android is the most widely used mobile operating system and responsible for handling a
wide variety of data from simple messages to sensitive banking details. The explosive …

Improvement of malware classification using hybrid feature engineering

E Masabo, KS Kaawaase, J Sansa-Otim, J Ngubiri… - SN Computer …, 2020 - Springer
Polymorphic malware has evolved as a major threat in Computer Systems. Their creation
technology is constantly evolving using sophisticated tactics to create multiple instances of …

[PDF][PDF] Using Machine Learning Algorithms to Detect Malware by Applying Static and Dynamic Analysis Methods

J Palša, J Hurtuk, M Chovanec… - Acta Polytechnica …, 2022 - acta.uni-obuda.hu
This paper focuses on malware analysis and detection using machine learning methods.
The aim of the authors was to perform static and dynamic analysis of programs designed for …

Exploring Security Strategies to Enable the Adoption of Internet of Things Devices in the Manufacturing Sector

J Chamoun - 2024 - search.proquest.com
Many information technology (IT) leaders lack the strategies to protect IoT devices from
information security threats in the manufacturing sector, which puts IoT devices and modern …

A Feature Engineering Approach for Classification and Detection of Polymorphic Malware using Machine Learning

E Masabo - 2019 - dr.ur.ac.rw
Malicious software have evolved as a major threat in Computer Systems. These threats aim
at compromising systems from low level to high level, from individuals to large corporations …

[PDF][PDF] REMOTE MALWARE DETECTION USING PATTERN BASED ANALYSIS FOR ANDROID DEVICES

A Fathima, MO Nadeem - journal-dogorangsang.in
Android has conquered the smartphone industry and is the most widely used mobile
operating system. However, as Android's popularity has grown, so has the number of …