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20122025
most citedMalware Detection using Machine Learning and Deep Learning

124 citations · 605 across the 39 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

astro-ph.IM2016★ 2 cited

A Communication Efficient and Scalable Distributed Data Mining for the Astronomical Data

Aruna Govada, Sanjay K. Sahay

In 2020, ~60PB of archived data will be accessible to the astronomers. But to analyze such a paramount data will be a challenging task. This is basically due to the computational m…

cs.DC2016

Covariance estimation for vertically partitioned data in a distributed environment

Aruna Govada, Sanjay K. Sahay

The major sources of abundant data are constantly expanding with the available data collection methodologies in various applications - medical, insurance, scientific, bio-informati…

cs.CR2016

Improving the detection accuracy of unknown malware by partitioning the executables in groups

Ashu Sharma, Sanjay K. Sahay, Abhishek Kumar

Detection of unknown malware with high accuracy is always a challenging task. Therefore, in this paper, we study the classification of unknown malware by two methods. In the first/…

cs.CR2016★ 5 cited

Grouping the executables to detect malware with high accuracy

Sanjay K. Sahay, Ashu Sharma

The metamorphic malware variants with the same malicious behavior (family), can obfuscate themselves to look different from each other. This variation in structure leads to a huge…

cs.CR2016

An effective approach for classification of advanced malware with high accuracy

Ashu Sharma, Sanjay K. Sahay

Combating malware is very important for software/systems security, but to prevent the software/systems from the advanced malware, viz. metamorphic malware is a challenging task, as…