Internet of drones security: Taxonomies, open issues, and future directions
Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …
have opened the horizon for a vast array of applications and paved the way for a diversity of …
Detection approaches for android malware: Taxonomy and review analysis
HHR Manzil, SM Naik - Expert Systems with Applications, 2023 - Elsevier
The main objective of this review is to present an in-depth study of Android malware
detection approaches. This article provides a comprehensive survey of 150 studies on …
detection approaches. This article provides a comprehensive survey of 150 studies on …
Obfuscation-resilient android malware analysis based on complementary features
Existing Android malware detection methods are usually hard to simultaneously resist
various obfuscation techniques. Therefore, bytecode-based code obfuscation becomes an …
various obfuscation techniques. Therefore, bytecode-based code obfuscation becomes an …
Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning
As in other cybersecurity areas, machine learning (ML) techniques have emerged as a
promising solution to detect Android malware. In this sense, many proposals employing a …
promising solution to detect Android malware. In this sense, many proposals employing a …
[HTML][HTML] A review of deep learning models to detect malware in Android applications
E Mbunge, B Muchemwa, J Batani… - Cyber Security and …, 2023 - Elsevier
Android applications are indispensable resources that facilitate communication, health
monitoring, planning, data sharing and synchronization, social interaction, business and …
monitoring, planning, data sharing and synchronization, social interaction, business and …
Malware Evasion Attacks Against IoT and Other Devices: An Empirical Study
The Internet of Things (IoT) has grown rapidly due to artificial intelligence driven edge
computing. While enabling many new functions, edge computing devices expand the …
computing. While enabling many new functions, edge computing devices expand the …
[PDF][PDF] Android Malware Detection Using ResNet-50 Stacking.
L Nahhas, M Albahar, A Alammari… - Computers, Materials & …, 2023 - cdn.techscience.cn
There has been an increase in attacks on mobile devices, such as smartphones and tablets,
due to their growing popularity. Mobile malware is one of the most dangerous threats …
due to their growing popularity. Mobile malware is one of the most dangerous threats …
A proposed artificial intelligence model for android-malware detection
There are a variety of reasons why smartphones have grown so pervasive in our daily lives.
While their benefits are undeniable, Android users must be vigilant against malicious apps …
While their benefits are undeniable, Android users must be vigilant against malicious apps …
Android malware detection based on static analysis and data mining techniques: A systematic literature review
Android applications are proliferating, which has led to the rise of android malware. Many
research studies have proposed various detection frameworks for android malware …
research studies have proposed various detection frameworks for android malware …
Android malware detection: An in-depth investigation of the impact of the use of imbalance datasets on the efficiency of machine learning models
Machine learning techniques have become an essential part of research into the detection
and classification of malicious applications. There are several approaches or algorithms that …
and classification of malicious applications. There are several approaches or algorithms that …