P. Vinod

60 papers B 2C 8Journal 33Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Android malware defense through a hybrid multi-modal approach.
J. Netw. Comput. Appl.
K. A. Asmitha, P. Vinod, Rafidha Rehiman K. A., Neeraj Raveendran, Mauro Conti
2025 — conf
Behind Enemy Lines: Strengthening Android Malware Detection with Adversarial Training.
ARES (EU Projects Symposium Workshops 1)
Sonia Laudanna, Mattia Marino, Andrea Di Sorbo, P. Vinod, Corrado Aaron Visaggio, Gerardo Canfora
2025 J jnl
CTI Dataset Construction from Telegram.
CoRR
Dincy R. Arikkat, Sneha B. T., Serena Nicolazzo, Antonino Nocera, P. Vinod, Rafidha Rehiman K. A., Karthika R
2025 J jnl
Deep learning fusion for effective malware detection: leveraging visual features.
Clust. Comput.
Jahez Abraham Johny, K. A. Asmitha, P. Vinod, G. Radhamani, Rafidha Rehiman K. A., Mauro Conti
2025 J jnl
Discerning reliable cyber threat indicators for timely Cyber Threat Intelligence.
J. Comput. Virol. Hacking Tech.
Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Corrado Aaron Visaggio, Andrea Di Sorbo, Mauro Conti
2025 J jnl
DroidTTP: Mapping android applications with TTP for Cyber Threat Intelligence.
J. Inf. Secur. Appl.
Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Mauro Conti
2025 J jnl
Enhancing Android Malware Detection with Retrieval-Augmented Generation.
CoRR
Saraga S., Anagha M. S., Dincy R. Arikkat, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, P. Vinod
2025 J jnl
Protecting Deep Neural Network Intellectual Property with Chaos-Based White-Box Watermarking.
CoRR
Sangeeth B, Serena Nicolazzo, Deepa K, P. Vinod
2025 J jnl
SeCTIS: A framework to Secure CTI Sharing.
Future Gener. Comput. Syst.
Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, P. Vinod
2025 J jnl
SecDefender: Detecting low-quality models in multidomain federated learning systems.
Future Gener. Comput. Syst.
K. M. Sameera, Arnaldo Sgueglia, P. Vinod, Rafidha Rehiman K. A., Corrado Aaron Visaggio, Andrea Di Sorbo, Mauro Conti
2025 J jnl
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems.
CoRR
K. M. Sameera, P. Vinod, Anderson Rocha, Rafidha Rehiman K. A., Mauro Conti
2024 J jnl
A defensive attention mechanism to detect deepfake content across multiple modalities.
Multim. Syst.
S. Asha, P. Vinod, Varun G. Menon
2024 — conf
Beyond Words: Stylometric Analysis for Detecting AI Manipulation on Social Media.
ESORICS (1)
Ubaid Ullah, Sonia Laudanna, P. Vinod, Andrea Di Sorbo, Corrado Aaron Visaggio, Gerardo Canfora
2024 — conf
DLShield: A Defense Approach Against Dirty Label Attacks in Heterogeneous Federated Learning.
SPACE
K. M. Sameera, M. Abhinav, P. P. Amal, T. Babu Abhiram, Raj K. Abishek, Tomichen Amal, P. Anaina, P. Vinod, Rafidha Rehiman K. A., Mauro Conti
2024 J jnl
Effectiveness of machine learning based android malware detectors against adversarial attacks.
Clust. Comput.
Jyothish A., Ashik Mathew, P. Vinod
2024 J jnl
Indoor localization using device sensors: A threat to privacy.
Microprocess. Microsystems
Hitesh Verma, Smita Naval, Balaprakasa Rao Killi, P. Vinod
2024 J jnl
OSTIS: A novel Organization-Specific Threat Intelligence System.
Comput. Secur.
Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Georgiana Timpau, Mauro Conti
2024 — conf
Relation Extraction Techniques in Cyber Threat Intelligence.
NLDB (1)
Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Mauro Conti
2024 J jnl
SFC-NIDS: a sustainable and explainable flow filtering based concept drift-driven security approach for network introspection.
Clust. Comput.
Arjun Singh, Preeti Mishra, P. Vinod, Avantika Gaur, Mauro Conti
2024 B conf
Towards a Malware Family Classification Model Using Static Call Graph Instruction Visualization.
NSS
Attila Mester, Zalán Bodó, P. Vinod, Mauro Conti
2024 J jnl
XAITrafficIntell: Interpretable Cyber Threat Intelligence for Darknet Traffic Analysis.
J. Netw. Syst. Manag.
Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Rabeeba Abdul Rasheed, Mauro Conti
2023 J jnl
A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning.
SN Comput. Sci.
K. M. Sameera, Rafidha Rehiman K. A., P. Vinod
2023 J jnl
A defensive framework for deepfake detection under adversarial settings using temporal and spatial features.
Int. J. Inf. Sec.
S. Asha, P. Vinod, Varun G. Menon
2023 J jnl
Affect sensing from smartphones through touch and motion contexts.
Multim. Syst.
Susmi Jacob, P. Vinod, Arjun Subramanian, Varun G. Menon
2023 J jnl
Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks?
CoRR
Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Andrea Di Sorbo, Corrado Aaron Visaggio, Mauro Conti
2023 J jnl
Evading Machine-Learning-Based Android Malware Detector for IoT Devices.
IEEE Syst. J.
Renjith G, P. Vinod, Aji S
2023 C conf
Interpretable PDF Malware Detector.
SIN
Sneha Rajagopal, Avanthika Gaur, P. Vinod
2023 J jnl
NLP-Based Techniques for Cyber Threat Intelligence.
CoRR
Marco Arazzi, Dincy R. Arikkat, Serena Nicolazzo, Antonino Nocera, Rafidha Rehiman K. A., P. Vinod, Mauro Conti
2023 J jnl
Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN.
IEEE Syst. J.
Dhanya K. A., P. Vinod, Suleiman Y. Yerima, Abul Bashar, David A. Wagner, Abhiram T., Alan Antony, Ashil K. Shavanas, T. Gireesh Kumar
2022 J jnl
A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network.
J. Netw. Syst. Manag.
P. R. Vishnu, P. Vinod, Suleiman Y. Yerima
2022 J jnl
Cognitive smart cities: Challenges and trending solutions.
Expert Syst. J. Knowl. Eng.
Varun G. Menon, Reza Khosravi, Alireza Jolfaei, Akshi Kumar, P. Vinod
2022 J jnl
Detection and robustness evaluation of android malware classifiers.
J. Comput. Virol. Hacking Tech.
Anupama M. L, P. Vinod, Corrado Aaron Visaggio, M. A. Arya, Josna Philomina, Rincy Raphael, Anson Pinhero, K. S. Ajith, P. Mathiyalagan
2022 J jnl
Evaluation of adversarial machine learning tools for securing AI systems.
Clust. Comput.
S. Asha, P. Vinod
2022 J jnl
Obfuscation detection in Android applications using deep learning.
J. Inf. Secur. Appl.
Mauro Conti, P. Vinod, Alessio Vitella
2022 J jnl
Performance evaluation of deep neural network on malware detection: visual feature approach.
Clust. Comput.
V. Anandhi, P. Vinod, Varun G. Menon, Korankotte Manoj Aditya
2021 B conf
Automatic Classification of Vulnerabilities using Deep Learning and Machine Learning Algorithms.
IJCNN
Vishnu Ramesh, Sara Abraham, P. Vinod, Isham Mohamed, Corrado Aaron Visaggio, Sonia Laudanna
2021 C conf
Downsampling Attack on Automatic Speaker Authentication System.
AICCSA
Asha S, P. Vinod, Varun G. Menon, Akka Zemmari
2021 — conf
Secure Static Content Delivery for CDN Using Blockchain Technology.
DPM/CBT@ESORICS
Mauro Conti, P. Vinod, Pier Paolo Tricomi
2020 J jnl
Can machine learning model with static features be fooled: an adversarial machine learning approach.
Clust. Comput.
Rahim Taheri, Reza Javidan, Mohammad Shojafar, P. Vinod, Mauro Conti
2020 C conf
Detection of Tor Traffic using Deep Learning.
AICCSA
Debmalya Sarkar, P. Vinod, Suleiman Y. Yerima
2020 J jnl
Secure Brain-to-Brain Communication With Edge Computing for Assisting Post-Stroke Paralyzed Patients.
IEEE Internet Things J.
Sreeja Rajesh, Varghese Paul, Varun G. Menon, Sunil Jacob, P. Vinod
2018 — conf
Malware Signature Generation Using Locality Sensitive Hashing.
ISEA-ISAP
Hassan Naderi, P. Vinod, Mauro Conti, Saeed Parsa, Mohammad Hadi Alaeiyan
2017 J jnl
Identification of malicious android app using manifest and opcode features.
J. Comput. Virol. Hacking Tech.
Varsha M. V., P. Vinod, K. A. Dhanya
2015 C conf
Hartley's test ranked opcodes for Android malware analysis.
SIN
Meenu Mary John, P. Vinod, K. A. Dhanya
2015 — conf
Heterogeneous feature space for Android malware detection.
IC3
Varsha M. V., P. Vinod, Dhanya K. A.
2015 C conf
Information theoretic method for classification of packed and encoded files.
SIN
Jithu Raphel, P. Vinod
2015 C conf
Machine learning approach for filtering spam emails.
SIN
Princy George, P. Vinod
2015 — conf
Pruned feature space for metamorphic malware detection using Markov Blanket.
IC3
Jithu Raphel, P. Vinod
2014 — conf
Android Malware Analysis Using Ensemble Features.
SPACE
A. M. Aswini, P. Vinod
2014 J jnl
Detecting malicious files using non-signature-based methods.
Int. J. Inf. Comput. Secur.
P. Vinod, Vijay Laxmi, Manoj Singh Gaur, Grijesh Chauhan
2014 — conf
Droid permission miner: Mining prominent permissions for Android malware analysis.
ICADIWT
A. M. Aswini, P. Vinod
2014 — conf
Exploration of robust features for multiclass emotion classification.
ICACCI
Bincy Thomas, Dhanya K. A., P. Vinod
2014 — conf
Linux Malware Detection Using eXtended-Symmetric Uncertainty.
SPACE
K. A. Asmitha, P. Vinod
2013 — conf
MCF: MultiComponent Features for Malware Analysis.
AINA Workshops
P. Vinod, Vijay Laxmi, Manoj Singh Gaur, Smita Naval, Parvez Faruki
2012 — conf
Behavioural detection with
SECURIT
Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur, P. Vinod
2012 C conf
ESCAPE: entropy score analysis of packed executable.
SIN
Smita Naval, Vijay Laxmi, Manoj Singh Gaur, P. Vinod
2012 C conf
Mining control flow graph as
SIN
Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur, P. Vinod
2012 — conf
SPADE: Signature based PAcker DEtection.
SECURIT
Smita Naval, Vijay Laxmi, Manoj Singh Gaur, P. Vinod
2011 — ch.
Metamorphic Malware Analysis and Detection Methods.
Cyber Security, Cyber Crime and Cyber Forensics
P. Vinod, Vijay Laxmi, Manoj Singh Gaur
2011 — conf
Scattered Feature Space for Malware Analysis.
ACC (1)
P. Vinod, Vijay Laxmi, Manoj Singh Gaur