Vinod P - researchr alias

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Viewing Publication 1 - 8 from 8

2021

Malware detection employed by visualization and deep neural networkAnson Pinhero, Anupama M. L, Vinod P, Corrado Aaron Visaggio, Aneesh N, Abhijith S, AnanthaKrishnan S. compsec, 105:102247, 2021. [doi]

2020

Detection of algorithmically-generated domains: An adversarial machine learning approachMohammad Hadi Alaeiyan, Saeed Parsa, Vinod P, Mauro Conti. comcom, 160:661-673, 2020. [doi]

SysDroid: a dynamic ML-based android malware analyzer using system call tracesA. Ananya, A. Aswathy, T. R. Amal, P. G. Swathy, Vinod P, Mohammad Shojafar. cluster, 23(4):2789-2808, 2020. [doi]

2019

Identification of Android malware using refined system callsDeepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar 0001, Mauro Conti. concurrency, 31(20), 2019. [doi]

A machine learning based approach to detect malicious android apps using discriminant system callsVinod P, Akka Zemmari, Mauro Conti. fgcs, 94:333-350, 2019. [doi]

2014

Linux malware detection using non-parametric statistical methodsAsmitha KA, Vinod P. icacci 2014: 356-361 [doi]

Framework for design of Graybot in social networkSilpa Sebastian, Sonal Ayyappan, Vinod P. icacci 2014: 2331-2336 [doi]

Exploration of robust features for multiclass emotion classificationBincy Thomas, Dhanya K. A, Vinod P. icacci 2014: 1704-1709 [doi]

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