P. Vinod

According to our database, P. Vinod authored at least 61 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A defensive attention mechanism to detect deepfake content across multiple modalities.

S. Asha, P. Vinod, Varun G. Menon

Multim. Syst., February, 2024

Privacy-Preserving in Blockchain-based Federated Learning Systems.

K. M. Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P, Mauro Conti

CoRR, 2024

2023

A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning.

K. M. Sameera, Rafidha Rehiman K. A., P. Vinod

SN Comput. Sci., November, 2023

Affect sensing from smartphones through touch and motion contexts.

Susmi Jacob, P. Vinod, Arjun Subramanian, Varun G. Menon

Multim. Syst., October, 2023

A defensive framework for deepfake detection under adversarial settings using temporal and spatial features.

S. Asha, P. Vinod, Varun G. Menon

Int. J. Inf. Sec., October, 2023

Evading Machine-Learning-Based Android Malware Detector for IoT Devices.

Renjith G, P. Vinod, Aji S

IEEE Syst. J., June, 2023

Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN.

Dhanya K. A., P. Vinod, Suleiman Y. Yerima, Abul Bashar, David A. Wagner, Abhiram T., Alan Antony, Ashil K. Shavanas, T. Gireesh Kumar

IEEE Syst. J., June, 2023

Sober: Explores for invasive behaviour of malware.

Mohammadhadi Alaeiyan, Saeed Parsa, Vinod P.

J. Inf. Secur. Appl., May, 2023

A smartphone authentication system based on touch gesture dynamics.

Susmi Jacob, Vinod Puthuvath, Muralidharan Akarsh, Jackson George, Jewel Joseph, Jigil Joy

Concurr. Comput. Pract. Exp., January, 2023

NLP-Based Techniques for Cyber Threat Intelligence.

Marco Arazzi, Dincy R. Arikkat, Serena Nicolazzo, Antonino Nocera, Rafidha Rehiman K. A., P. Vinod, Mauro Conti

CoRR, 2023

Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks?

Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Andrea Di Sorbo, Corrado Aaron Visaggio, Mauro Conti

CoRR, 2023

MMDFD- A Multimodal Custom Dataset for Deepfake Detection.

Asha S, Vinod P, Varun G. Menon

Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

2022

Detection and robustness evaluation of android malware classifiers.

Anupama M. L, P. Vinod, Corrado Aaron Visaggio, M. A. Arya, Josna Philomina, Rincy Raphael, Anson Pinhero, K. S. Ajith, P. Mathiyalagan

J. Comput. Virol. Hacking Tech., 2022

GANG-MAM: GAN based enGine for Modifying Android Malware.

Renjith G, Sonia Laudanna, Aji S, Corrado Aaron Visaggio, Vinod P

SoftwareX, 2022

A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network.

P. R. Vishnu, P. Vinod, Suleiman Y. Yerima

J. Netw. Syst. Manag., 2022

Obfuscation detection in Android applications using deep learning.

Mauro Conti, P. Vinod, Alessio Vitella

J. Inf. Secur. Appl., 2022

Cognitive smart cities: Challenges and trending solutions.

Varun G. Menon, Reza Khosravi, Alireza Jolfaei, Akshi Kumar, P. Vinod

Expert Syst. J. Knowl. Eng., 2022

A few-shot malware classification approach for unknown family recognition using malware feature visualization.

Mauro Conti, Shubham Khandhar, Vinod P.

Comput. Secur., 2022

Evaluation of adversarial machine learning tools for securing AI systems.

S. Asha, P. Vinod

Clust. Comput., 2022

Performance evaluation of deep neural network on malware detection: visual feature approach.

V. Anandhi, P. Vinod, Varun G. Menon, Korankotte Manoj Aditya

Clust. Comput., 2022

On the Influence of Image Settings in Deep Learning-based Malware Detection.

Francesco Mercaldo, Fabio Martinelli, Antonella Santone, Vinod P.

Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022

Multi-Domain Network Traffic Analysis using Machine Learning and Deep Learning Techniques.

Dincy R. Arikkat, Rafidha Rehiman K. A., Vinod P., Suleiman Y. Yerima, Manoja W, Pooja S, Shilpa Sekhar, Sohan James, Josna Philomina

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021

Malware detection employed by visualization and deep neural network.

Anson Pinhero, Anupama M. L, Vinod P, Corrado Aaron Visaggio, Aneesh N, Abhijith S, AnanthaKrishnan S

Comput. Secur., 2021

Vulnerability Evaluation of Android Malware Detectors against Adversarial Examples.

Ijas Ah, Vinod P., Akka Zemmari, Harikrishnan D, Godvin Poulose, Don Jose, Francesco Mercaldo, Fabio Martinelli, Antonella Santone

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

A Study on Misclassification of Software Vulnerabilities when using Deep Learning and Machine Learning Algorithms.

Vishnu Ramesh, Sara Abraham, Vinod P, Isham Mohamed, Corrado Aaron Visaggio, Sonia Laudanna

Proceedings of the Italian Conference on Cybersecurity, 2021

Automatic Classification of Vulnerabilities using Deep Learning and Machine Learning Algorithms.

Vishnu Ramesh, Sara Abraham, P. Vinod, Isham Mohamed, Corrado Aaron Visaggio, Sonia Laudanna

Proceedings of the International Joint Conference on Neural Networks, 2021

Hide and Seek Game: A Machine Learning Approach for Detecting Malicious Samples in Analysis Environment.

Anandaram S., Ashik Mathew, Jyothish A., Vinod P., Francesco Mercaldo

Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

Secure Static Content Delivery for CDN Using Blockchain Technology.

Mauro Conti, P. Vinod, Pier Paolo Tricomi

Proceedings of the Data Privacy Management, Cryptocurrencies and Blockchain Technology, 2021

Downsampling Attack on Automatic Speaker Authentication System.

S. Asha, P. Vinod, Varun G. Menon, Akka Zemmari

Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021

2020

Secure Brain-to-Brain Communication With Edge Computing for Assisting Post-Stroke Paralyzed Patients.

Sreeja Rajesh, Varghese Paul, Varun G. Menon, Sunil Jacob, P. Vinod

IEEE Internet Things J., 2020

Detection of algorithmically-generated domains: An adversarial machine learning approach.

Mohammad Hadi Alaeiyan, Saeed Parsa, Vinod P, Mauro Conti

Comput. Commun., 2020

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

Rahim Taheri, Reza Javidan, Mohammad Shojafar, P. Vinod, Mauro Conti

Clust. Comput., 2020

SysDroid: a dynamic ML-based android malware analyzer using system call traces.

A. Ananya, A. Aswathy, T. R. Amal, P. G. Swathy, Vinod P, Mohammad Shojafar

Clust. Comput., 2020

Detection of Tor Traffic using Deep Learning.

Debmalya Sarkar, P. Vinod, Suleiman Y. Yerima

Proceedings of the 17th IEEE/ACS International Conference on Computer Systems and Applications, 2020

2019

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

Vinod P, Akka Zemmari, Mauro Conti

Future Gener. Comput. Syst., 2019

Identification of Android malware using refined system calls.

Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti

Concurr. Comput. Pract. Exp., 2019

2018

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

Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti

CoRR, 2018

Malware Signature Generation Using Locality Sensitive Hashing.

Hassan Naderi, P. Vinod, Mauro Conti, Saeed Parsa, Mohammad Hadi Alaeiyan

Proceedings of the Security and Privacy - Second ISEA International Conference, 2018

2017

Identification of malicious android app using manifest and opcode features.

Varsha M. V., P. Vinod, K. A. Dhanya

J. Comput. Virol. Hacking Tech., 2017

2015

Information theoretic method for classification of packed and encoded files.

Jithu Raphel, P. Vinod

Proceedings of the 8th International Conference on Security of Information and Networks, 2015

Hartley's test ranked opcodes for Android malware analysis.

Meenu Mary John, P. Vinod, K. A. Dhanya

Proceedings of the 8th International Conference on Security of Information and Networks, 2015

Machine learning approach for filtering spam emails.

Princy George, P. Vinod

Proceedings of the 8th International Conference on Security of Information and Networks, 2015

Heterogeneous feature space for Android malware detection.

Varsha M. V., P. Vinod, Dhanya K. A.

Proceedings of the Eighth International Conference on Contemporary Computing, 2015

Pruned feature space for metamorphic malware detection using Markov Blanket.

Jithu Raphel, P. Vinod

Proceedings of the Eighth International Conference on Contemporary Computing, 2015

2014

Detecting malicious files using non-signature-based methods.

P. Vinod, Vijay Laxmi, Manoj Singh Gaur, Grijesh Chauhan

Int. J. Inf. Comput. Secur., 2014

Android Malware Analysis Using Ensemble Features.

A. M. Aswini, P. Vinod

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2014

Linux Malware Detection Using eXtended-Symmetric Uncertainty.

K. A. Asmitha, P. Vinod

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2014

Towards the Detection of Undetectable Metamorphic Malware.

Jikku Kuriakose, Vinod P.

Proceedings of the 7th International Conference on Security of Information and Networks, 2014

Droid permission miner: Mining prominent permissions for Android malware analysis.

A. M. Aswini, P. Vinod

Proceedings of the Fifth International Conference on the Applications of Digital Information and Web Technologies, 2014

Exploration of robust features for multiclass emotion classification.

Bincy Thomas, Dhanya K. A., P. Vinod

Proceedings of the 2014 International Conference on Advances in Computing, 2014

Framework for design of Graybot in social network.

Silpa Sebastian, Sonal Ayyappan, Vinod P

Proceedings of the 2014 International Conference on Advances in Computing, 2014

X-ANOVA and X-Utest features for Android malware analysis.

Rincy Raphael, Vinod P., Bini Omman

Proceedings of the 2014 International Conference on Advances in Computing, 2014

Linux malware detection using non-parametric statistical methods.

Asmitha KA, Vinod P

Proceedings of the 2014 International Conference on Advances in Computing, 2014

Discriminant features for metamorphic malware detection.

Jikku Kuriakose, Vinod P.

Proceedings of the Seventh International Conference on Contemporary Computing, 2014

2013

MCF: MultiComponent Features for Malware Analysis.

P. Vinod, Vijay Laxmi, Manoj Singh Gaur, Smita Naval, Parvez Faruki

Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012

ESCAPE: entropy score analysis of packed executable.

Smita Naval, Vijay Laxmi, Manoj Singh Gaur, P. Vinod

Proceedings of the 5th International Conference of Security of Information and Networks, 2012

Mining control flow graph as <i>API call-grams</i> to detect portable executable malware.

Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur, P. Vinod

Proceedings of the 5th International Conference of Security of Information and Networks, 2012

SPADE: Signature based PAcker DEtection.

Smita Naval, Vijay Laxmi, Manoj Singh Gaur, P. Vinod

Proceedings of the First International Conference on Security of Internet of Things, 2012

Behavioural detection with <i>API call-grams</i> to identify malicious PE files.

Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur, P. Vinod

Proceedings of the First International Conference on Security of Internet of Things, 2012

2011

Scattered Feature Space for Malware Analysis.

P. Vinod, Vijay Laxmi, Manoj Singh Gaur

Proceedings of the Advances in Computing and Communications, 2011

Metamorphic Malware Analysis and Detection Methods.

P. Vinod, Vijay Laxmi, Manoj Singh Gaur

Proceedings of the Cyber Security, Cyber Crime and Cyber Forensics, 2011