Organization sPecific Threat Intelligence Mining and sharing

Project Information

OPTIMA

Grant agreement ID: 101063107

DOI

10.3030/101063107

Project closed

EC signature date 11 July 2022

Start date 1 December 2022

End date 31 March 2025

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 188 590,08

Coordinated by

UNIVERSITA DEGLI STUDI DI PADOVA
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected processed or generated by the action It is a document describing what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preserved

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens

Publications

Peer reviewed articles (11)

Effectiveness of machine learning based android malware detectors against adversarial attacks

Author(s): Jyothish, A., Mathew, A. & Vinod, P
Published in: Cluster Computing, 2023, ISSN 1573-7543
Publisher: Springer
DOI: 10.1007/s10586-023-04086-8

Computer Communications

Author(s): Sameera, K. M., Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman KA, P. Vinod, and Mauro Conti.
Published in: Computer Communications, 2024, ISSN 0140-3664
Publisher: Elsevier BV
DOI: 10.1016/j.comcom.2024.04.024

vDefender: An explainable and introspection-based approach for identifying emerging malware behaviour at hypervisor-layer in virtualization environment

Author(s): Avantika Gaur, Preeti Mishra, Vinod P., Arjun Singh, Vijay Varadharajan, Uday Tupakula, Mauro Conti
Published in: Computers and Electrical Engineering, Issue 120, 2024, ISSN 0045-7906
Publisher: Elsevier BV
DOI: 10.1016/j.compeleceng.2024.109742

SecDefender: Detecting low-quality models in multidomain federated learning systems

Author(s): Sameera K.M., Arnaldo Sgueglia, Vinod P., Rafidha Rehiman K.A., Corrado Aaron Visaggio, Andrea Di Sorbo, Mauro Conti
Published in: Future Generation Computer Systems, Issue 164, 2024, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2024.107587

Deep learning fusion for effective malware detection: leveraging visual features

Author(s): Jahez Abraham Johny, K. A. Asmitha, P. Vinod, G. Radhamani, K. A. Rafidha Rehiman, Mauro Conti
Published in: Cluster Computing, Issue 28, 2024, ISSN 1386-7857
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/s10586-024-04723-w

Android malware defense through a hybrid multi-modal approach

Author(s): Asmitha K.A., Vinod P., Rafidha Rehiman K.A., Neeraj Raveendran, Mauro Conti
Published in: Journal of Network and Computer Applications, Issue 233, 2024, ISSN 1084-8045
Publisher: Elsevier BV
DOI: 10.1016/j.jnca.2024.104035

Through the static: Demystifying malware visualization via explainability

Author(s): Matteo Brosolo, Vinod P., Mauro Conti
Published in: Journal of Information Security and Applications, Issue 91, 2025, ISSN 2214-2126
Publisher: Elsevier BV
DOI: 10.1016/J.JISA.2025.104063

Deep learning vs. adversarial noise: a battle in malware image analysis

Author(s): Asmitha, K. A., Vinod Puthuvath, K. A. Rafidha Rehiman, and S. L. Ananth.
Published in: Cluster Computing, 2024, ISSN 1573-7543
Publisher: Springer
DOI: 10.1007/s10586-024-04397-4

OSTIS: A novel Organization-Specific Threat Intelligence System

Author(s): Dincy R. Arikkat, Vinod P., Rafidha Rehiman K.A., Serena Nicolazzo, Antonino Nocera, Georgiana Timpau, Mauro Conti
Published in: Computers & Security, Issue 145, 2024, ISSN 0167-4048
Publisher: Elsevier BV
DOI: 10.1016/j.cose.2024.103990

LFGurad: A Defense against Label Flipping Attack in Federated Learning for Vehicular Network

Author(s): Sameera K.M., Vinod P., Rafidha Rehiman K.A., Mauro Conti
Published in: Computer Networks, Issue 254, 2024, ISSN 1389-1286
Publisher: Elsevier BV
DOI: 10.1016/j.comnet.2024.110768

SeCTIS: A framework to Secure CTI Sharing

Author(s): Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman K.A., Serena Nicolazzo, Antonino Nocera, Vinod P.
Published in: Future Generation Computer Systems, Issue 164, 2024, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2024.107562

Conference proceedings (3)

Interpretable PDF Malware Detector

Author(s): Sneha Rajagopal C.H.M.M College For Advanced Studies, Trivandrum, Kerala, India ; Avanthika Gaur; P. Vinod
Published in: SINCONF, 2023, ISBN 979-8-3503-4321-2
Publisher: IEEE
DOI: 10.1109/SIN60469.2023.10474653

Relation Extraction Techniques in Cyber Threat Intelligence

Author(s): Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Mauro Conti
Published in: Lecture Notes in Computer Science, Natural Language Processing and Information Systems, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70239-6_24

SoK: Visualization-based Malware Detection Techniques

Author(s): Matteo Brosolo, Vinod Puthuvath, Asmitha KA, Rafidha Rehiman, Mauro Conti
Published in: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2025
Publisher: ACM
DOI: 10.1145/3664476.3664514