Cyber Security Incident Handling, Warning and Response System for the European Critical Infrastructures

Leistungen

Evaluation Methodology M26 STS This deliverable will detail the evaluation and benchmarking methodology of the project

Legal and Ethical Requirements (M7; KUL). This deliverable will assess the existing and upcoming European legal framework applicable to CyberSANE and provide for a set of identified requirements that must be taken into account in the development of the project. The deliverable will reflect the outcomes of task T2.2.

Final Report on Dissemination and Communication Activities

Final Report on Dissemination and Communication Activities M36 ATOS This deliverable will report on the dissemination and communication activities of the project

Training Materials and Report on Training Processes

Training Materials and Report on Training Processes M30 SiLo This deliverable will be a detailed report on the training activities of the project ie facetoface seminar electronic webinars and will include the training materials and documentation to be used It will be based on the outcome of task T94

Technical and Business

Technical and Business M36 SiLo Based on task T103 this deliverable will report the results of the business usability and technicaltechnological evaluation of the projects results

Dissemination, Communication and Exploitation Plans

Dissemination, Communication Plan and Exploitation (M6, ATOS). This deliverable will be the detailed dissemination, communication and exploitation plan that will be established in the project (as part of T11.1). This plan will elaborate on the activities listed in Section 2 on the basis of concrete dates, activities, target audiences and expected outcomes.

Intermediate Report on Dissemination and Communication Activities

Intermediate Report on Dissemination and Communication Activities M24 ATOS This deliverable will report on the dissemination and communication activities of the project

Stakeholders Evaluation

Stakeholders Evaluation M36 KN Based on task T102 this deliverable will report on the consolidated results from stakeholders evaluation

Intelligence and Information Sharing models Specifications

Intelligence and Information Sharing models Specifications (M18, CNR). This deliverable will be a report reflecting the outcomes of tasks T6.1 and T6.2. It will specify the project’s Intelligence and Information Sharing models in terms of stakeholders, models, collaborative workflows and interactions and more.

Initial Report on Dissemination and Communication Activities

Initial Report on Dissemination and Communication Activities (M12, ATOS). This deliverable will report on the dissemination and communication activities of the project.

Best Practices and Policy Development Guidelines for Replicability and Wider Use

Best Practices and Policy Development Guidelines for Replicability and Wider Use M36 KUL This deliverable will provide the assessment of legal and ethical considerations within the project T104 and it also will reflect the projects best practices to be produced by task T105

Public Final management report

This report will be a publishable public activity report covering main aspects of the work objectives results and conclusions including the publishable results of the final plan for using the knowledge and the plan for sustaining the projects results

Cyber Incident handling Trend Analysis

Cyber Incident handling Trend Analysis (M6; INRIA). This deliverable will include the outcomes of the Trend Analysis. The deliverable will reflect the outcomes of task T2.1

Prevention and response to advanced threats and anomalies

Prevention and response to advanced threats and anomalies (M10, STS). This deliverable reflects the state of the art on the detection and response field, and specifies an automated approach for Cyber Fusion Models by selecting particular decision making techniques (T5.1).

Veröffentlichungen

AODV-Miner: Consensus-Based Routing Using Node Reputation

Autoren: Edward Staddon, Valeria Loscrì, Nathalie Mitton
Veröffentlicht in: Thessaloniki, Greece, 2022
Herausgeber: IEEE

Bank Credit Risk Management based on Data Mining Techniques

Autoren: Fabio Martinelli, Francesco Mercaldo, Domenico Raucci, Antonella Santone
Veröffentlicht in: Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020, Seite(n) 837-843, ISBN 978-989-758-399-5
Herausgeber: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0009371808370843

Machine Learning for Driver Detection through CAN bus

Autoren: Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020, Seite(n) 1-5, ISBN 978-1-7281-5207-3
Herausgeber: IEEE
DOI: 10.1109/vtc2020-spring48590.2020.9129371

Requirements for an Information Privacy Pedagogy based on the Constructivism Learning Theory

Autoren: Thanos Papaioannou, Aggeliki Tsohou, Maria Karyda, Stylianos Karagiannis
Veröffentlicht in: ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security, Ausgabe August 2022, 2022, Seite(n) 1-8
Herausgeber: ACM
DOI: 10.1145/3538969.3544425

Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques

Autoren: Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Proceedings of the 5th International Conference on Internet of Things, Big Data and Security, 2020, Seite(n) 499-506, ISBN 978-989-758-426-8
Herausgeber: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0009817804990506

On Strengthening SMEs and MEs Threat Intelligence and Awareness by Identifying Data Breaches, Stolen Credentials and Illegal Activities on the Dark Web

Autoren: George Pantelis, Petros Petrou, Sophia Karagiorgou, Dimitrios Alexandrou
Veröffentlicht in: ARES 21: Proceedings of the 16th International Conference on Availability, Reliability and Security, 2021, Seite(n) Article No.: 156 Pages 1–7, ISBN 978-1-4503-9051-4
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3465481.3469201

Android Run-time Permission Exploitation User Awareness by Means of Formal Methods

Autoren: Fausto Fasano, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020, Seite(n) 804-814, ISBN 978-989-758-399-5
Herausgeber: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0009372308040814

Enhanced Privacy and Data Protection using Natural Language Processing and Artificial Intelligence

Autoren: Fabio Martinelli, Fiammetta Marulli, Francesco Mercaldo, Stefano Marrone, Antonella Santone
Veröffentlicht in: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Seite(n) 1-8, ISBN 978-1-7281-6926-2
Herausgeber: IEEE
DOI: 10.1109/ijcnn48605.2020.9206801

AODV-Miner : Routage par Consensus Basé sur la Réputation

Autoren: Edward Staddon, Valeria Loscri & Nathalie Mitton
Veröffentlicht in: 7ème Rencontres Francophones sur la Conception de Protocoles, l’Évaluation de Performance et l’Expérimentation des Réseaux de Communication – CORES 2022, 2022
Herausgeber: HAL

Head(er)Hunter: Fast Intrusion Detection using Packet Metadata Signatures

Autoren: Eva Papadogiannaki, Dimitris Deyannis, Sotiris Ioannidis
Veröffentlicht in: 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2020, Seite(n) 1-6, ISBN 978-1-7281-6339-0
Herausgeber: IEEE
DOI: 10.1109/camad50429.2020.9209308

CyberSane 2022 - International Workshop on Cybersecurity on Critical Infrastructures Management

Autoren: Jorge Manuel Martins, Luis Landeiro Ribeiro, Thanos Karantjias, Armend Duzha, Pablo Giménez Salazar, Robert Bordianu, Manfred Criegee-Rieck, Manos Athanathos, Guillermo Yuste
Veröffentlicht in: ARES 22 Proceedings of the 17th International Conference on Availability, Reliability and Security, 2022, Seite(n) xxiv-xxv, ISBN 978-1-4503-9670-7
Herausgeber: ACM

Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study

Autoren: Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki, Sotiris Ioannidis
Veröffentlicht in: Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, Ausgabe Vol. 16, 2022, ISBN 978-1-57735-875-6
Herausgeber: AAAI Press
DOI: 10.48550/arxiv.2112.04913

AODV-Miner: Consensus-Based Routing Using Node Reputation

Autoren: Edward Staddon, Valeria Loscri & Nathalie Mitton
Veröffentlicht in: 18th International Conference on Wireless and Mobile Computing, Networking and Communications – WiMob 2022, 2022, ISBN 978-1-6654-6975-3
Herausgeber: IEEE
DOI: 10.1109/wimob55322.2022.9941558

This Sneaky Piggy Went to the Android Ad Market: Misusing Mobile Sensors for Stealthy Data Exfiltration

Autoren: Michalis Diamantaris, Serafeim Moustakas, Lichao Sun, Sotiris Ioannidis & Jason Polakis
Veröffentlicht in: CCS '21: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, Ausgabe November 2021, 2021, Seite(n) 1065–1081, ISBN 978-1-4503-8454-4
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3460120.3485366

Accidental Sensitive Data Leaks Prevention via Formal Verification

Autoren: Madalina Ciobanu, Fausto Fasano, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020, Seite(n) 825-834, ISBN 978-989-758-399-5
Herausgeber: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0009380608250834

VisualDroid - automatic triage and detection of Android repackaged applications

Autoren: Rosangela Casolare, Carlo De Dominicis, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Proceedings of the 15th International Conference on Availability, Reliability and Security, 2020, Seite(n) 1-7, ISBN 9781450388337
Herausgeber: ACM
DOI: 10.1145/3407023.3407074

Network Intrusion Detection in Encrypted Traffic

Autoren: Eva Papadogiannaki, Giorgos Tsirantonakis and Sotiris Ioannidis
Veröffentlicht in: IEEE Conference on Dependable and Secure Computing (DSC), 2022, ISBN 978-1-6654-2142-3
Herausgeber: IEEE
DOI: 10.1109/dsc54232.2022.9888942

Evaluating Deep Learning Classification Reliability in Android Malware Family Detection

Autoren: Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2020, Seite(n) 255-260, ISBN 978-1-7281-7735-9
Herausgeber: IEEE
DOI: 10.1109/issrew51248.2020.00082

Malicious Collusion Detection in Mobile Environment by means of Model Checking

Autoren: Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Seite(n) 1-6, ISBN 978-1-7281-6926-2
Herausgeber: IEEE
DOI: 10.1109/ijcnn48605.2020.9207638

Colluding Android Apps Detection via Model Checking

Autoren: Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Vittoria Nardone, Antonella Santone
Veröffentlicht in: Web, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020), Ausgabe 1150, 2020, Seite(n) 776-786, ISBN 978-3-030-44037-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-44038-1_71

Towards an Interpretable Deep Learning Model for Mobile Malware Detection and Family Identification

Autoren: Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Computers & Security, 2021, Seite(n) 102198, ISSN 0167-4048
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.cose.2021.102198

Analysis and Evaluation of Capture the Flag Challenges in Secure Mobile Application Development

Autoren: Stylianos Karagiannis, Emmanouil Magkos, George Chalavazis and Maria Nefeli Nikiforos
Veröffentlicht in: International Journal on Integrating Technology in Education, Ausgabe 11(2), 2022, Seite(n) 19-35, ISSN 2320-1886
Herausgeber: Natarajan Meghanathan
DOI: 10.5121/ijite.2022.11202

Detecting Colluding Inter-App Communication in Mobile Environment

Autoren: Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Applied Sciences, Ausgabe 10/23, 2020, Seite(n) 8351, ISSN 2076-3417
Herausgeber: MDPI - Applied Science 2020 - Special Issue Cybersecurity
DOI: 10.3390/app10238351

Visualizing the outcome of dynamic analysis of Android malware with VizMal

Autoren: Andrea De Lorenzo, Fabio Martinelli, Eric Medvet, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Journal of Information Security and Applications, Ausgabe 50, 2020, Seite(n) 102423, ISSN 2214-2126
Herausgeber: Journal of Information Security and Applications
DOI: 10.1016/j.jisa.2019.102423

A Deep-Learning-Based Framework for Supporting Analysis and Detection of Attacks on CAN Buses

Autoren: Alfredo Cuzzocrea, Francesco Mercaldo, Fabio Martinelli
Veröffentlicht in: Procedia Computer Science, Ausgabe 176, 2020, Seite(n) 2999-3008, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2020.09.203

Acceleration of Intrusion Detection in Encrypted Network Traffic Using Heterogeneous Hardware

Autoren: Eva Papadogiannaki, Sotiris Ioannidis
Veröffentlicht in: Sensors, Ausgabe 21/4, 2021, Seite(n) 1140, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21041140

Android Collusion: Detecting Malicious Applications Inter-Communication through SharedPreferences

Autoren: Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Information, Ausgabe 11/6, 2020, Seite(n) 304, ISSN 2078-2489
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info11060304

Attack Categorisation for IoT Applications in Critical Infrastructures, a Survey

Autoren: Edward Staddon, Valeria Loscri, Nathalie Mitton
Veröffentlicht in: Applied Sciences, 2021, ISSN 2076-3417
Herausgeber: MDPI

Neural Networks for Driver Behavior Analysis

Autoren: Fabio Martinelli, Fiammetta Marulli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Electronics, Ausgabe 10/3, 2021, Seite(n) 342, ISSN 2079-9292
Herausgeber: MDPI - Electronics - Special Issue Security and Trust in Next Generation Cyber-Physical Systems
DOI: 10.3390/electronics10030342

Model checking and machine learning techniques for HummingBad mobile malware detection and mitigation

Autoren: Fabio Martinelli, Francesco Mercaldo, Vittoria Nardone, Antonella Santone, Gigliola Vaglini
Veröffentlicht in: Simulation Modelling Practice and Theory, Ausgabe 105, 2020, Seite(n) 102169, ISSN 1569-190X
Herausgeber: Elsevier BV
DOI: 10.1016/j.simpat.2020.102169

A consensus-based approach to reputational routing in multi-hop networks

Autoren: Edward Staddon, Valeria Loscri, Nathalie Mitton
Veröffentlicht in: ITU Journal on Future and Evolving Technologies, 2023, 2023, ISSN 2616-8375
Herausgeber: ITU
DOI: 10.52953/ixzf4584

An integrated cyber security risk management framework and risk predication for the critical infrastructure protection

Autoren: Halima Ibrahim Kure, Shareeful Islam & Haralambos Mouratidis
Veröffentlicht in: Neural Computing and Applications, Ausgabe Volume 34 - Ausgabe 18 - Sep 2022, 2022, Seite(n) pp 15241–1527, ISSN 0941-0643
Herausgeber: Springer Verlag
DOI: 10.1007/s00521-022-06959-2

Driver Identification through Formal Methods

Autoren: Fabio Martinelli, Francesco Mercaldo, Vittoria Nardone, Antonella Santone
Veröffentlicht in: IEEE Transactions on Intelligent Transportation Systems, 2021, ISSN 1524-9050
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2021.3055347

An Attack Simulation and Evidence Chains Generation Model for Critical Information Infrastructures

Autoren: Eleni-Maria Kalogeraki, Spyridon Papastergiou & Themis Panayiotopoulos
Veröffentlicht in: Electronics, Ausgabe 11(3), 404, 2022, ISSN 2079-9292
Herausgeber: MDPI
DOI: 10.3390/electronics11030404

Call Graph and Model Checking for Fine-Grained Android Malicious Behaviour Detection

Autoren: Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Applied Sciences, Ausgabe 10/22, 2020, Seite(n) 7975, ISSN 2076-3417
Herausgeber: MDPI - Applied Science 2020 - Special Issue Cybersecurity
DOI: 10.3390/app10227975

Managing cybersecurity risks of cyber-physical systems: The MARISMA-CPS pattern

Autoren: David G. Rosado, Antonio Santos-Olmo, Luis Enrique Sánchez, Manuel A. Serrano, Carlos Blanco, Haralambos Mouratidis & Eduardo Fernández-Medina
Veröffentlicht in: Computers in Industry, Ausgabe Vol.142, 2022, ISSN 0166-3615
Herausgeber: Elsevier BV
DOI: 10.1016/j.compind.2022.103715

A Survey on Encrypted Network Traffic Analysis Applications, Techniques, and Countermeasures

Autoren: Eva Papadogiannaki and Sotiris Ioannidis
Veröffentlicht in: ACM Computing Surveys, Ausgabe Volume: 54, Ausgabe: 6, Article No: 123, 2021, Seite(n) 1-35, ISSN 0360-0300
Herausgeber: Association for Computing Machinary, Inc.
DOI: 10.1145/3457904

"""The Seven Deadly Sins of the HTML5 WebAPI: A Large-scale Study on the Risks of Mobile Sensor-based Attacks”"

Autoren: MICHALIS DIAMANTARIS, FRANCESCO MARCANTONI, SOTIRIS IOANNIDIS, JASON POLAKIS
Veröffentlicht in: ACM Transactions on Privacy and Security, Ausgabe Volume 23, Ausgabe 4, Article 19, 2020, ISSN 2471-2574
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3403947

Handling of advanced persistent threats and complex incidents in healthcare, transportation and energy ICT infrastructures

Autoren: Spyridon Papastergiou, Haralambos Mouratidis, Eleni-Maria Kalogeraki
Veröffentlicht in: Evolving Systems, 2020, ISSN 1868-6478
Herausgeber: Springer Verlag
DOI: 10.1007/s12530-020-09335-4

Crash Course on CyberSecurity– A manual for surviving in a networked world

Autoren: Matej Kovačič
Veröffentlicht in: 2022, ISBN 978-961-7025-24-8
Herausgeber: University of Nova Gorica Press

Towards the Use of Generative Adversarial Neural Networks to Attack Online Resources

Autoren: Lelio Campanile, Mauro Iacono, Fabio Martinelli, Fiammetta Marulli, Michele Mastroianni, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Web, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020), Ausgabe 1150, 2020, Seite(n) 890-901, ISBN 978-3-030-44037-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-44038-1_81

Predicting Probability of Default Under IFRS 9 Through Data Mining Techniques

Autoren: Fabio Martinelli, Francesco Mercaldo, Domenico Raucci, Antonella Santone
Veröffentlicht in: Web, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020), Ausgabe 1150, 2020, Seite(n) 959-969, ISBN 978-3-030-44037-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-44038-1_87

Code Reordering Obfuscation Technique Detection by Means of Weak Bisimulation

Autoren: Giuseppe Crincoli, Tiziano Marinaro, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Veröffentlicht in: Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA-2020), Ausgabe 1151, 2020, Seite(n) 1368-1382, ISBN 978-3-030-44040-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-44041-1_116

Cyber Security Incident Handling, Warning and Response System for the European Critical Information Infrastructures (CyberSANE)

Autoren: Spyridon Papastergiou, Haralambos Mouratidis, Eleni-Maria Kalogeraki
Veröffentlicht in: Engineering Applications of Neural Networks - 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings, Ausgabe 1000, 2019, Seite(n) 476-487, ISBN 978-3-030-20256-9
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-20257-6_41

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