Performance comparison and current challenges of using machine learning techniques in cybersecurity
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …
world is becoming more and more dependent on the internet for everyday living. The …
A systematic literature review of android malware detection using static analysis
Android malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …
of Android operating system. Android malware is installed and run on the smartphones …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
MLDroid—framework for Android malware detection using machine learning techniques
A Mahindru, AL Sangal - Neural Computing and Applications, 2021 - Springer
This research paper presents MLDroid—a web-based framework—which helps to detect
malware from Android devices. Due to increase in the popularity of Android devices …
malware from Android devices. Due to increase in the popularity of Android devices …
A system call-based android malware detection approach with homogeneous & heterogeneous ensemble machine learning
The enormous popularity of Android in the smartphone market has gained the attention of
malicious actors as well. Also, considering its open system architecture, malicious attacks …
malicious actors as well. Also, considering its open system architecture, malicious attacks …
Ensemble feature selection for high-dimensional data: a stability analysis across multiple domains
B Pes - Neural Computing and Applications, 2020 - Springer
Selecting a subset of relevant features is crucial to the analysis of high-dimensional datasets
coming from a number of application domains, such as biomedical data, document and …
coming from a number of application domains, such as biomedical data, document and …
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 …
Android malware detection based on image-based features and machine learning techniques
In this paper, a malware classification model has been proposed for detecting malware
samples in the Android environment. The proposed model is based on converting some files …
samples in the Android environment. The proposed model is based on converting some files …
SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches
A Mahindru, AL Sangal - International Journal of Machine Learning and …, 2021 - Springer
With the exponential growth in Android apps, Android based devices are becoming victims
of target attackers in the “silent battle” of cybernetics. To protect Android based devices from …
of target attackers in the “silent battle” of cybernetics. To protect Android based devices from …
Detecting Android locker-ransomware on chinese social networks
In recent years, an increasing amount of locker-ransomware has been posing a great threat
to the Android platform as well as users' properties. Locker-ransomware blackmails victims …
to the Android platform as well as users' properties. Locker-ransomware blackmails victims …