A survey and evaluation of android-based malware evasion techniques and detection frameworks

P Faruki, R Bhan, V Jain, S Bhatia, N El Madhoun… - Information, 2023 - mdpi.com
Android platform security is an active area of research where malware detection techniques
continuously evolve to identify novel malware and improve the timely and accurate detection …

The rise of obfuscated Android malware and impacts on detection methods

WF Elsersy, A Feizollah, NB Anuar - PeerJ Computer Science, 2022 - peerj.com
The various application markets are facing an exponential growth of Android malware. Every
day, thousands of new Android malware applications emerge. Android malware hackers …

[PDF][PDF] Hate speech detection in social media using the ensemble learning technique

A Haque, MNUR Chowdhury - Authorea Preprints, 2023 - techrxiv.org
Hate Speech Detection in Social Media Using the Ensemble Learning Technique Page 1 P osted
on 11 Apr 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/techrxiv.22583857.v1 — This is a preprin …

Android malware Detection using Machine learning: A Review

NUR Chowdhury, A Haque, H Soliman… - Intelligent Systems …, 2023 - Springer
Malware for Android is becoming increasingly dangerous to the safety of mobile devices and
the data they hold. Although machine learning (ML) techniques have been shown to be …

Wireless sensor networks anomaly detection using machine learning: a survey

A Haque, NUR Chowdhury, H Soliman… - Intelligent Systems …, 2023 - Springer
Abstract Wireless Sensor Networks (WSNs) have become increasingly valuable in various
civil/military applications like industrial process control, civil engineering applications such …

Advanced android malware detection utilizing API calls and permissions

MNUR Chowdhury, QE Alahy, H Soliman - IT Convergence and Security …, 2021 - Springer
The Android operating system is a major presence in the proliferation of smartphones and
IoT applications. Android apps can utilize security loopholes wherein developers may …

Wireless sensor networks data anomaly detection: A smart approach

A Haque, H Soliman… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) are at the core of many critical civil and military
applications where they are very amenable for deployment in some harsh/unsafe …

[PDF][PDF] A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks. Information 2023, 14, 374

P Faruki, R Bhan, V Jain, S Bhatia, N El Madhoun… - 2023 - academia.edu
Android platform security is an active area of research where malware detection techniques
continuously evolve to identify novel malware and improve the timely and accurate detection …

Shallow-Sec: Malware Detection in Real-Time Devices using Feature Weightage and Shallow Learning Models

P Priyanka, K Deepak - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
In the domain of mobile security, particularly in APK (Android Application Package) malware
detection, ensuring robust threat identification is critical for safeguarding user devices and …

Securing the Edge: A Comprehensive Review to Protecting Wireless Sensor Networks and Android Devices from Cyber Attacks

J Islam, M Hasan, MM Hasan - Authorea Preprints, 2023 - techrxiv.org
The likelihood of cyberattacks that pose a threat to the safety of wireless sensor networks
(WSNs) and Android devices increases with their use. A comprehensive literature review on …