Vinod P

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Machine Learning

Malware Detection

Relevant Attributes

Police Department

Top Venues

Publications

Asha S, Vinod P, Irene Amerini, Varun G. Menon
D-Fence layer: an ensemble framework for comprehensive deepfake detection. Multim. Tools Appl. 83 (26) (2024)
Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Vinod P
SeCTIS: A Framework to Secure CTI Sharing. CoRR (2024)
Asha S, Vinod P, Varun G. Menon
MMDFD- A Multimodal Custom Dataset for Deepfake Detection. IC3 (2023)
Renjith G, Sonia Laudanna, Aji S, Corrado Aaron Visaggio, Vinod P
GANG-MAM: GAN based enGine for Modifying Android Malware. SoftwareX 18 (2022)
Renjith G, Sonia Laudanna, Aji S, Corrado Aaron Visaggio, Vinod P
GANG-MAM: GAN based enGine for Modifying Android Malware. CoRR (2021)
Vishnu Ramesh, Sara Abraham, Vinod P, Isham Mohamed, Corrado Aaron Visaggio, Sonia Laudanna
A Study on Misclassification of Software Vulnerabilities when using Deep Learning and Machine Learning Algorithms. ITASEC (2021)
Anson Pinhero, Anupama M. L, Vinod P, Corrado Aaron Visaggio, Aneesh N, Abhijith S, AnanthaKrishnan S
Malware detection employed by visualization and deep neural network. Comput. Secur. 105 (2021)
Mohammad Hadi Alaeiyan, Saeed Parsa, Vinod P, Mauro Conti
Detection of algorithmically-generated domains: An adversarial machine learning approach. Comput. Commun. 160 (2020)
A. Ananya, A. Aswathy, T. R. Amal, P. G. Swathy, Vinod P, Mohammad Shojafar
SysDroid: a dynamic ML-based android malware analyzer using system call traces. Clust. Comput. 23 (4) (2020)
Rahim Taheri, Reza Javidan, Mohammad Shojafar, Vinod P, Mauro Conti
Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach. CoRR (2019)
Vinod P, Akka Zemmari, Mauro Conti
A machine learning based approach to detect malicious android apps using discriminant system calls. Future Gener. Comput. Syst. 94 (2019)
Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti
Identification of Android malware using refined system calls. Concurr. Comput. Pract. Exp. 31 (20) (2019)
Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti
FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware. CoRR (2018)
Silpa Sebastian, Sonal Ayyappan, Vinod P
Framework for design of Graybot in social network. ICACCI (2014)
Asmitha KA, Vinod P
Linux malware detection using non-parametric statistical methods. ICACCI (2014)