124 citations · 605 across the 39 of their papers we have counts for
6 papers · 1 filter
A Survey on the Detection of Android Malicious Apps
Sanjay K. Sahay, Ashu Sharma
Android-based smart devices are exponentially growing, and due to the ubiquity of the Internet, these devices are globally connected to the different devices/networks. Its populari…
An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU
Sanjay K. Sahay, Mayank Chaudhari
Due to continuous increase in the number of malware (according to AV-Test institute total ~8 x 10^8 malware are already known, and every day they register ~2.5 x 10^4 malware) and…
Android Malicious Application Classification Using Clustering
Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi +1
Android malware have been growing at an exponential pace and becomes a serious threat to mobile users. It appears that most of the anti-malware still relies on the signature-based…
Malware Detection using Machine Learning and Deep Learning
Hemant Rathore, Swati Agarwal, Sanjay K. Sahay +1
Research shows that over the last decade, malware has been growing exponentially, causing substantial financial losses to various organizations. Different anti-malware companies ha…
Group-wise classification approach to improve Android malicious apps detection accuracy
Ashu Sharma, Sanjay K. Sahay
In the fast-growing smart devices, Android is the most popular OS, and due to its attractive features, mobility, ease of use, these devices hold sensitive information such as perso…
Detection of Advanced Malware by Machine Learning Techniques
Sanjay Sharma, C. Rama Krishna, Sanjay K. Sahay
In today's digital world most of the anti-malware tools are signature based which is ineffective to detect advanced unknown malware viz. metamorphic malware. In this paper, we stud…