fAcilitating Public & Private secuRity operAtors to mitigate terrorIsm Scenarios against soft targEts

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Report on the societal acceptance LEA use of technology in public space safety management
Policy Proposals and Standardization report
Dissemination and Communication Plan
Citizen community and private security operators co-creation network
Report on stakeholder community building and dissemination activities
APPRAISE Identity Kit
APPRAISE market analysis

Pubblicazioni

Securing the smart city: patterns of public acceptance for integrated technological solutions

Autori: Petra Saskia Bayerl; Luke Bates; Babak Akhgar
Pubblicato in: IEEE International Smart Cities Conference (ISC2), 2023
Editore: IEEE
DOI: 10.1109/isc257844.2023.10293633

M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2022

Autori: Koufakis, Alexandros; Tsikrika, Theodora; Vrochidis, Stefanos; Kompatsiaris, Ioannis
Pubblicato in: Proceedings of the Text REtrieval Conference (TREC) 2022 Workshop, Gaithersburg, MD, USA, Nov. 2022., Numero 1, 2023
Editore: National Institute of Standards and Technology (NIST)
DOI: 10.5281/zenodo.7788261

Diagnosis Model for Detection of e-threats Against Soft-Targets

Autori: Sónia M. A. Morgado, Margarida Carvalho & Sérgio Felgueiras
Pubblicato in: Information Systems and Technologies. WorldCIST 2023., Numero Vol 200, 2024, Pagina/e P249-262, ISBN 978-3-031-45645-9
Editore: Springer, Cham
DOI: 10.1007/978-3-031-45645-9_24

Impact Estimation of Emergency Events Using Social Media Streams

Autori: Giacomo Blanco; Edoardo Arnaudo; Dario Salza; Claudio Rossi
Pubblicato in: 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI), Numero 1, 2022
Editore: IEEE
DOI: 10.5281/zenodo.7016653

Revealing terrorist threats in social media

Autori: M. San Biagio, M. Cipolla, E. La Mattina, V. Morreale
Pubblicato in: ICISNA 2023, 2023
Editore: ICISNA 2023

How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes

Autori: Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik & Michał Choraś
Pubblicato in: International Conference on Computer Information Systems and Industrial Management, 2023, Pagina/e 283.-297
Editore: Springer
DOI: 10.1007/978-3-031-42823-4_21

A new SOCMINT framework for Threat Intelligence Identification

Autori: M. San Biagio, R.Acquaviva, V. Mazzonello, E. La Mattina, V. Morreale
Pubblicato in: CSCI-ISCW 2021, 2021
Editore: CSCI-ISCW 2021
DOI: 10.1109/csci54926.2021.00180

Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection

Autori: Marek Pawlicki; Rafał Kozik; Michał Choraś
Pubblicato in: International Joint Conference on Neural Networks (IJCNN), Numero 18-23 June 2023, 2023, ISBN 978-1-6654-8868-6
Editore: IEEE
DOI: 10.1109/ijcnn54540.2023.10191496

Modern NetFlow network dataset with labeled attacks and detection methods

Autori: Mikołaj Komisarek, Marek Pawlicki, Tomi Simic, David Kavcnik, Rafał Kozik ,
Pubblicato in: ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023, ISBN 979-8-4007-0772-8
Editore: Association for Computing Machinery
DOI: 10.1145/3600160.3605094

A novel, refined dataset for real-time Network Intrusion Detection

Autori: Mikołaj Komisarek; Marek Pawlicki; Maria-Elena Mihailescu; Darius Mihai; Mihai Carabas; Rafał Kozik; Michał Choraś
Pubblicato in: ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security, Numero 1, 2022
Editore: Proceedings of the 17th International Conference on Availability, Reliability and Security (ARES '22). Association for Computing Machinery
DOI: 10.1145/3538969.3544486

A ’glocal’ approach for real-time emergency event detection in Twitter

Autori: Dario Salza Edoardo Arnaudo Giacomo Blanco Claudio Rossi
Pubblicato in: ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management, 2022, Pagina/e 570-583, ISBN 978-82-8427-099-9
Editore: Proceedings of the 19th ISCRAM Conference – Tarbes, France 2022

APPRAISE project - Building a security system for public spaces

Autori: Jarosław Przyjemczak, Nina Czyżewska
Pubblicato in: Terrorism – studies, analyses, prevention, Numero 5, 2024, ISSN 2720-4383
Editore: Terrorism – studies, analyses, prevention
DOI: 10.4467/27204383ter.24.015.19403

Towards Zero-Shot Flow-Based Cyber-Security Anomaly Detection Framework

Autori: Mikołaj Komisarek; Rafał Kozik; Marek Pawlicki; Michał Choraś
Pubblicato in: Applied Sciences; Volume 12; Numero 19; Pages: 9636, Numero 1, 2022, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12199636

SoK: cross-border criminal investigations and digital evidence

Autori: Fran Casino; Claudia Pina; Pablo López-Aguilar; Edgar Batista; Agusti Solanas; Constantinos Patsakis
Pubblicato in: Journal of Cybersecurity (Oxford), Numero Volume 8, Numero 1,, 2022, ISSN 2057-2085
Editore: Oxford University Press
DOI: 10.1093/cybsec/tyac014

Zero-Shot Topic Labeling for Hazard Classification

Autori: Andrea Rondinelli, Lorenzo Bongiovanni, Valerio Basile
Pubblicato in: Information, Volume 13, Numero 10 (October 2022) – 65 articles, 2022, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info13100444

What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics

Autori: Aleksandra Pawlicka; Marek Pawlicki; Rafał Kozik; Michał Choraś
Pubblicato in: IEEE Access, Numero Volume 11, 2023, Pagina/e 58796 - 58807, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3283791

Automatic Counting Passenger System using Online Visual Appearance Multi-Object Tracking

Autori: Javier Callea, Itziar Sagastiberri, Mikel Aramburu, Santiago Cerezo, Jorge García
Pubblicato in: Advances in Science, Technology and Engineering Systems Journal, Numero Volume 7, Numero 5, 2022, Pagina/e 113 -128, ISSN 2415-6698
Editore: ASTES Journal
DOI: 10.25046/aj070514

Synthetic Dataset for Panic Detection in Human Crowded Scenes

Autori: Calle, J., Leskovsky, P., Garcia, J., Sanchez, M.
Pubblicato in: Poster presentation, EUROGRAPHICS 2023, 2023
Editore: EUROGRAPHICS 2023

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