[HTML][HTML] Information security breaches due to ransomware attacks-a systematic literature review
TR Reshmi - International Journal of Information Management Data …, 2021 - Elsevier
Ransomware is the most predominant cyber threat in the digital infrastructure. The attackers
launching ransomware attacks use different techniques to hijack the users' or organizations' …
launching ransomware attacks use different techniques to hijack the users' or organizations' …
[HTML][HTML] Android mobile malware detection using machine learning: A systematic review
With the increasing use of mobile devices, malware attacks are rising, especially on Android
phones, which account for 72.2% of the total market share. Hackers try to attack …
phones, which account for 72.2% of the total market share. Hackers try to attack …
Towards an interpretable deep learning model for mobile malware detection and family identification
Mobile devices are pervading everyday activities of our life. Each day we store a plethora of
sensitive and private information in smart devices such as smartphones or tablets, which are …
sensitive and private information in smart devices such as smartphones or tablets, which are …
Malicious application detection in android—a systematic literature review
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …
gadgets became an essential necessity of day-to-day life. People are using new …
Robust android malware detection system against adversarial attacks using q-learning
Since the inception of Andoroid OS, smartphones sales have been growing exponentially,
and today it enjoys the monopoly in the smartphone marketplace. The widespread adoption …
and today it enjoys the monopoly in the smartphone marketplace. The widespread adoption …
The android platform security model
R Mayrhofer, JV Stoep, C Brubaker… - ACM Transactions on …, 2021 - dl.acm.org
Android is the most widely deployed end-user focused operating system. With its growing
set of use cases encompassing communication, navigation, media consumption …
set of use cases encompassing communication, navigation, media consumption …
Research on third-party libraries in android apps: A taxonomy and systematic literature review
Third-party libraries (TPLs) have been widely used in mobile apps, which play an essential
part in the entire Android ecosystem. However, TPL is a double-edged sword. On the one …
part in the entire Android ecosystem. However, TPL is a double-edged sword. On the one …
[HTML][HTML] FSDroid:-A feature selection technique to detect malware from Android using Machine Learning Techniques: FSDroid
A Mahindru, AL Sangal - Multimedia Tools and Applications, 2021 - Springer
With the recognition of free apps, Android has become the most widely used smartphone
operating system these days and it naturally invited cyber-criminals to build malware …
operating system these days and it naturally invited cyber-criminals to build malware …
Backdoor attack on machine learning based android malware detectors
Machine learning (ML) has been widely used for malware detection on different operating
systems, including Android. To keep up with malware's evolution, the detection models …
systems, including Android. To keep up with malware's evolution, the detection models …
Android malware detection through machine learning on kernel task structures
With the advent of smart phones, the popularity of free Android applications has risen
rapidly. This has led to malicious Android apps being involuntarily installed, which violate …
rapidly. This has led to malicious Android apps being involuntarily installed, which violate …