Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDP. Vinod 0001
Person information
- affiliation: Cochin University of Science and Technology, India
- affiliation (former): SCMS School of Engineering, Ernakulam / Karukutty, Kerala, India
- affiliation (former): University of Padua, Italy
- affiliation (PhD): Malaviya National Institute of Technology, Jaipur, India
Other persons with the same name
- P. Vinod 0002 — Indian Institute of Technology Guwahati, Department of Electronics and Communication Engineering, India
- P. Vinod 0003 — Birla Institute of Technology & Science (BITS), Pilani Hyderabad Campus, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j25]S. Asha, P. Vinod, Varun G. Menon:
A defensive attention mechanism to detect deepfake content across multiple modalities. Multim. Syst. 30(1): 56 (2024)- [i6]K. M. Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P, Mauro Conti:
Privacy-Preserving in Blockchain-based Federated Learning Systems. CoRR abs/2401.03552 (2024) - 2023
- [j24]Susmi Jacob
, Vinod Puthuvath, Muralidharan Akarsh, Jackson George, Jewel Joseph, Jigil Joy:
A smartphone authentication system based on touch gesture dynamics. Concurr. Comput. Pract. Exp. 35(1) (2023) - [j23]S. Asha, P. Vinod, Varun G. Menon:
A defensive framework for deepfake detection under adversarial settings using temporal and spatial features. Int. J. Inf. Sec. 22(5): 1371-1382 (2023) - [j22]Mohammadhadi Alaeiyan, Saeed Parsa, Vinod P.:
Sober: Explores for invasive behaviour of malware. J. Inf. Secur. Appl. 74: 103451 (2023) - [j21]Susmi Jacob, P. Vinod, Arjun Subramanian, Varun G. Menon:
Affect sensing from smartphones through touch and motion contexts. Multim. Syst. 29(5): 2495-2509 (2023) - [j20]Renjith G, P. Vinod, Aji S:
Evading Machine-Learning-Based Android Malware Detector for IoT Devices. IEEE Syst. J. 17(2): 2745-2755 (2023) - [j19]Dhanya K. A., P. Vinod, Suleiman Y. Yerima, Abul Bashar, David A. Wagner, Abhiram T., Alan Antony, Ashil K. Shavanas, T. Gireesh Kumar:
Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN. IEEE Syst. J. 17(2): 2756-2766 (2023) - [j18]K. M. Sameera, Rafidha Rehiman K. A., P. Vinod:
A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning. SN Comput. Sci. 4(6): 703 (2023) - [c32]Asha S, Vinod P, Varun G. Menon:
MMDFD- A Multimodal Custom Dataset for Deepfake Detection. IC3 2023: 322-327 - [c31]Sneha Rajagopal, Avanthika Gaur, P. Vinod:
Interpretable PDF Malware Detector. SIN 2023: 1-6 - [i5]Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Andrea Di Sorbo, Corrado Aaron Visaggio, Mauro Conti:
Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks? CoRR abs/2306.16087 (2023) - [i4]Marco Arazzi, Dincy R. Arikkat, Serena Nicolazzo, Antonino Nocera, Rafidha Rehiman K. A., P. Vinod, Mauro Conti:
NLP-Based Techniques for Cyber Threat Intelligence. CoRR abs/2311.08807 (2023) - 2022
- [j17]S. Asha, P. Vinod:
Evaluation of adversarial machine learning tools for securing AI systems. Clust. Comput. 25(1): 503-522 (2022) - [j16]V. Anandhi, P. Vinod, Varun G. Menon, Korankotte Manoj Aditya:
Performance evaluation of deep neural network on malware detection: visual feature approach. Clust. Comput. 25(6): 4601-4615 (2022) - [j15]Mauro Conti, Shubham Khandhar, Vinod P.:
A few-shot malware classification approach for unknown family recognition using malware feature visualization. Comput. Secur. 122: 102887 (2022) - [j14]Varun G. Menon, Reza Khosravi, Alireza Jolfaei, Akshi Kumar, P. Vinod:
Cognitive smart cities: Challenges and trending solutions. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j13]Mauro Conti, P. Vinod, Alessio Vitella:
Obfuscation detection in Android applications using deep learning. J. Inf. Secur. Appl. 70: 103311 (2022) - [j12]P. R. Vishnu, P. Vinod, Suleiman Y. Yerima:
A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network. J. Netw. Syst. Manag. 30(1): 9 (2022) - [j11]Renjith G, Sonia Laudanna, Aji S, Corrado Aaron Visaggio, Vinod P:
GANG-MAM: GAN based enGine for Modifying Android Malware. SoftwareX 18: 100977 (2022) - [j10]Anupama M. L, P. Vinod, Corrado Aaron Visaggio, M. A. Arya, Josna Philomina, Rincy Raphael, Anson Pinhero, K. S. Ajith, P. Mathiyalagan:
Detection and robustness evaluation of android malware classifiers. J. Comput. Virol. Hacking Tech. 18(3): 147-170 (2022) - [c30]Dincy R. Arikkat, Rafidha Rehiman K. A., Vinod P., Suleiman Y. Yerima, Manoja W, Pooja S, Shilpa Sekhar, Sohan James, Josna Philomina:
Multi-Domain Network Traffic Analysis using Machine Learning and Deep Learning Techniques. IC3 2022: 305-312 - [c29]Francesco Mercaldo, Fabio Martinelli, Antonella Santone, Vinod P.:
On the Influence of Image Settings in Deep Learning-based Malware Detection. ICISSP 2022: 669-676 - 2021
- [j9]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: 102247 (2021) - [c28]S. Asha, P. Vinod, Varun G. Menon, Akka Zemmari:
Downsampling Attack on Automatic Speaker Authentication System. AICCSA 2021: 1-7 - [c27]Mauro Conti, P. Vinod, Pier Paolo Tricomi:
Secure Static Content Delivery for CDN Using Blockchain Technology. DPM/CBT@ESORICS 2021: 301-309 - [c26]Anandaram S., Ashik Mathew, Jyothish A., Vinod P., Francesco Mercaldo:
Hide and Seek Game: A Machine Learning Approach for Detecting Malicious Samples in Analysis Environment. IC3 2021: 349-354 - [c25]Vishnu Ramesh, Sara Abraham, P. Vinod, Isham Mohamed, Corrado Aaron Visaggio, Sonia Laudanna:
Automatic Classification of Vulnerabilities using Deep Learning and Machine Learning Algorithms. IJCNN 2021: 1-8 - [c24]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: 534-545 - [c23]Ijas Ah, Vinod P., Akka Zemmari, Harikrishnan D, Godvin Poulose, Don Jose, Francesco Mercaldo, Fabio Martinelli, Antonella Santone:
Vulnerability Evaluation of Android Malware Detectors against Adversarial Examples. KES 2021: 3320-3331 - [i3]Renjith G, Sonia Laudanna, Aji S, Corrado Aaron Visaggio, Vinod P:
GANG-MAM: GAN based enGine for Modifying Android Malware. CoRR abs/2109.13297 (2021) - 2020
- [j8]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): 2789-2808 (2020) - [j7]Rahim Taheri, Reza Javidan, Mohammad Shojafar, P. Vinod, Mauro Conti:
Can machine learning model with static features be fooled: an adversarial machine learning approach. Clust. Comput. 23(4): 3233-3253 (2020) - [j6]Mohammad Hadi Alaeiyan, Saeed Parsa, Vinod P, Mauro Conti:
Detection of algorithmically-generated domains: An adversarial machine learning approach. Comput. Commun. 160: 661-673 (2020) - [j5]Sreeja Rajesh, Varghese Paul, Varun G. Menon, Sunil Jacob, P. Vinod:
Secure Brain-to-Brain Communication With Edge Computing for Assisting Post-Stroke Paralyzed Patients. IEEE Internet Things J. 7(4): 2531-2538 (2020) - [c22]Debmalya Sarkar, P. Vinod, Suleiman Y. Yerima:
Detection of Tor Traffic using Deep Learning. AICCSA 2020: 1-8
2010 – 2019
- 2019
- [j4]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) - [j3]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: 333-350 (2019) - [i2]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 abs/1904.09433 (2019) - 2018
- [c21]Hassan Naderi, P. Vinod, Mauro Conti, Saeed Parsa, Mohammad Hadi Alaeiyan:
Malware Signature Generation Using Locality Sensitive Hashing. ISEA-ISAP 2018: 115-124 - [i1]Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti:
FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware. CoRR abs/1809.09035 (2018) - 2017
- [j2]Varsha M. V., P. Vinod, K. A. Dhanya:
Identification of malicious android app using manifest and opcode features. J. Comput. Virol. Hacking Tech. 13(2): 125-138 (2017) - 2015
- [c20]Jithu Raphel, P. Vinod:
Pruned feature space for metamorphic malware detection using Markov Blanket. IC3 2015: 377-382 - [c19]Varsha M. V., P. Vinod, Dhanya K. A.:
Heterogeneous feature space for Android malware detection. IC3 2015: 383-388 - [c18]Princy George, P. Vinod:
Machine learning approach for filtering spam emails. SIN 2015: 271-274 - [c17]Jithu Raphel, P. Vinod:
Information theoretic method for classification of packed and encoded files. SIN 2015: 296-303 - [c16]Meenu Mary John, P. Vinod, K. A. Dhanya:
Hartley's test ranked opcodes for Android malware analysis. SIN 2015: 304-311 - 2014
- [j1]P. Vinod, Vijay Laxmi, Manoj Singh Gaur, Grijesh Chauhan:
Detecting malicious files using non-signature-based methods. Int. J. Inf. Comput. Secur. 6(3): 199-240 (2014) - [c15]Jikku Kuriakose, Vinod P.:
Discriminant features for metamorphic malware detection. IC3 2014: 406-411 - [c14]Asmitha KA, Vinod P:
Linux malware detection using non-parametric statistical methods. ICACCI 2014: 356-361 - [c13]Rincy Raphael, Vinod P., Bini Omman:
X-ANOVA and X-Utest features for Android malware analysis. ICACCI 2014: 1643-1649 - [c12]Bincy Thomas, Dhanya K. A., P. Vinod:
Exploration of robust features for multiclass emotion classification. ICACCI 2014: 1704-1709 - [c11]Silpa Sebastian, Sonal Ayyappan, Vinod P:
Framework for design of Graybot in social network. ICACCI 2014: 2331-2336 - [c10]A. M. Aswini, P. Vinod:
Droid permission miner: Mining prominent permissions for Android malware analysis. ICADIWT 2014: 81-86 - [c9]Jikku Kuriakose, Vinod P.:
Towards the Detection of Undetectable Metamorphic Malware. SIN 2014: 373 - [c8]A. M. Aswini, P. Vinod:
Android Malware Analysis Using Ensemble Features. SPACE 2014: 303-318 - [c7]K. A. Asmitha, P. Vinod:
Linux Malware Detection Using eXtended-Symmetric Uncertainty. SPACE 2014: 319-332 - 2013
- [c6]P. Vinod, Vijay Laxmi, Manoj Singh Gaur, Smita Naval, Parvez Faruki:
MCF: MultiComponent Features for Malware Analysis. AINA Workshops 2013: 1076-1081 - 2012
- [c5]Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur, P. Vinod:
Behavioural detection with API call-grams to identify malicious PE files. SECURIT 2012: 85-91 - [c4]Smita Naval, Vijay Laxmi, Manoj Singh Gaur, P. Vinod:
SPADE: Signature based PAcker DEtection. SECURIT 2012: 96-101 - [c3]Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur, P. Vinod:
Mining control flow graph as API call-grams to detect portable executable malware. SIN 2012: 130-137 - [c2]Smita Naval, Vijay Laxmi, Manoj Singh Gaur, P. Vinod:
ESCAPE: entropy score analysis of packed executable. SIN 2012: 197-200 - 2011
- [c1]P. Vinod, Vijay Laxmi, Manoj Singh Gaur:
Scattered Feature Space for Malware Analysis. ACC (1) 2011: 562-571 - [p1]P. Vinod, Vijay Laxmi, Manoj Singh Gaur:
Metamorphic Malware Analysis and Detection Methods. Cyber Security, Cyber Crime and Cyber Forensics 2011: 178-202
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 05:50 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
