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[HTML][HTML] Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
Mobile devices have become an essential element in our day-to-day lives. The chances of
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …
Hybrid Android malware detection: A Review of heuristic-based approach
Over the last decade, numerous research efforts have been dedicated to countering
malicious mobile applications. Given its market share, Android OS has been the primary …
malicious mobile applications. Given its market share, Android OS has been the primary …
A comprehensive review on permissions-based Android malware detection
The first Android-ready “G1” phone debuted in late October 2008. Since then, the growth of
Android malware has been explosive, analogous to the rise in the popularity of Android. The …
Android malware has been explosive, analogous to the rise in the popularity of Android. The …
[HTML][HTML] HGDetector: A hybrid Android malware detection method using network traffic and Function call graph
J Feng, L Shen, Z Chen, Y Lei, H Li - Alexandria Engineering Journal, 2025 - Elsevier
The malicious infestations of Android malware caused huge economic losses to users over
the past few years. Machine learning-based malware detection enhances the accuracy and …
the past few years. Machine learning-based malware detection enhances the accuracy and …
Métrica basada en grupos de permisos para entender el impacto de las aplicaciones Android sobre la privacidad
Android is the most widespread operating systems for mobile devices. The Android
permission system controls what apps are permitted to access device data and resources …
permission system controls what apps are permitted to access device data and resources …
An enhanced intrusion detection system using combinational feature ranking and machine learning algorithms
SK Jha, A Arora - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
In this modern era, where technology is booming, its dark side is also increasing constantly.
Hence, now-a-days, it has become a necessity to develop systems capable of identifying …
Hence, now-a-days, it has become a necessity to develop systems capable of identifying …
Feature ranking using statistical techniques for computer networks intrusion detection
Nowadays with the enlargement of the utility of computer networks, the danger of getting our
personal information being misused has also grown rapidly. According to the [1] 2022 Cyber …
personal information being misused has also grown rapidly. According to the [1] 2022 Cyber …
IPAnalyzer: A novel Android malware detection system using ranked Intents and Permissions
Android malware has been growing in scale and complexity, spurred by the unabated
uptake of smartphones worldwide. Millions of malicious Android applications have been …
uptake of smartphones worldwide. Millions of malicious Android applications have been …
Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers
Malware detection is an important task for the ecosystem of mobile applications (APPs),
especially for the Android ecosystem, and is vital to guarantee the user experience of …
especially for the Android ecosystem, and is vital to guarantee the user experience of …
An unsupervised based enhanced anomaly detection model using features importance
N Sushmakar, N Oberoi, S Gupta… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Anomaly Detection, one of the important use cases of cybersecurity, allows us to know the
out of distribution behavior of processes in the network which can help us to flag any kind of …
out of distribution behavior of processes in the network which can help us to flag any kind of …