P Vinod

Can machine learning model with static features be fooled: an adversarial machine learning approach

Mauro Conti, Mohammad Shojafar, Reza Javidan, 2020, Cluster Computing.

A machine learning based approach to detect malicious android apps using discriminant system calls

Mauro Conti, Akka Zemmari, P Vinod, 2019, Future Gener. Comput. Syst..

Scheduling Distributed Energy Resource Operation and Daily Power Consumption for a Smart Building to Optimize Economic and Environmental Parameters

Mauro Conti, Jemal H. Abawajy, Zahra Pooranian, 2018 .

Linux malware detection using non-parametric statistical methods

P Vinod, KA Asmitha, P. Vinod, 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware pdf

Mauro Conti, Neeraj Kumar, Mohammad Shojafar, 2018, ArXiv.

Framework for design of Graybot in social network

Sonal Ayyappan, P Vinod, Silpa Sebastian, 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Identification of Android malware using refined system calls

Mauro Conti, Mohammad Shojafar, Neeraj Kumar, 2019, Concurr. Comput. Pract. Exp..