A survey and evaluation of android-based malware evasion techniques and detection frameworks
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 …
continuously evolve to identify novel malware and improve the timely and accurate detection …
The rise of obfuscated Android malware and impacts on detection methods
The various application markets are facing an exponential growth of Android malware. Every
day, thousands of new Android malware applications emerge. Android malware hackers …
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 …
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
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 …
the data they hold. Although machine learning (ML) techniques have been shown to be …
Wireless sensor networks anomaly detection using machine learning: a survey
Abstract Wireless Sensor Networks (WSNs) have become increasingly valuable in various
civil/military applications like industrial process control, civil engineering applications such …
civil/military applications like industrial process control, civil engineering applications such …
Advanced android malware detection utilizing API calls and permissions
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 …
IoT applications. Android apps can utilize security loopholes wherein developers may …
Wireless sensor networks data anomaly detection: A smart approach
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 …
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
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 …
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 …
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
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 …
(WSNs) and Android devices increases with their use. A comprehensive literature review on …