Prediction and Visual Intelligence for Security Information

Livrables

Predictive Policing – Psycho-sociological Models (Initial Release)

D1.2 Predictive Policing – Psycho-sociological Models (Initial Release) (IfmPt) (M4): Initial report on the deviant behaviours and their characteristics for recognising and predicting abnormal activity

Communication, Dissemination and Standardization Results

D75 Communication Dissemination and Standardization Results UPV M28 Report on the results of the communication dissemination and standardization activities of PREVISION

Predictive Policing – Psycho-sociological Models (Refined Release)

D1.4 Predictive Policing – Psycho-sociological Models (Refined Release) (IfmPt) (M11): Refined report on the deviant behaviours and their characteristics for recognising and predicting abnormal activity

Overall Impact Assessment and Transferability of Results

D65 Overall Impact Assessment and Transferability of Results ENSP M28 Report on the assessment of the PREVISIONs impact and for the successful PREVISION technology transfer and platform deployment to other LEAs outside the PREVISION Consortium

Final Set of Training Courses and Material

D63 Final Set of Training Courses and Material CUING M21 Report on the set of training courses and the material presentations videos document guides serious games exercises etc produced by PREVISION for the training of LEA personnel

Communication Strategy and Dissemination Plan (First Release)

D7.1 Communication Strategy and Dissemination Plan – First Release (UPV) (M2): Comprehensive plan for the communication and dissemination actions of the project

Final Societal, Ethical and Legal Impact Assessment

D83 Final Societal Ethical and Legal Impact Assessment TRIL M28 Report containing the final societal ethical and legal assessment of system components the questionnaires for the partners the proposed mitigation measures and their implementation status and recommendations for the deployment of PREVISIONlike systems

End-user Needs and Use Cases (Initial Release)

D1.1 End-user Needs and Use Cases (Initial Release) (HfoeD) (M3): Report on the use cases as well as the end-user and system requirements that should be covered by the PREVISION Platform

Heterogeneous Data Streams Processing Tools (Initial Release)

D2.1 Heterogeneous Data Streams Processing Tools (Initial Release) (CERTH) (M6): Initial report on the processing tools for the heterogeneous data streams of PREVISION

Improved Operational and Situational Awareness Applications (Initial Release)

D4.1 Improved Operational and Situational Awareness Applications (Initial Release) (ITTI) (M10): Initial report on the improved operational and situational awareness applications of the PREVISION platform

End-user Needs and Use Cases (Refined Release)

D1.3 End-user Needs and Use Cases (Refined Release) (ENSP) (M11): Report on the use cases as well as the end-user and system requirements that should be covered by the PREVISION Platform

Machine Learning and Automation for Crime Prevention and Investigation (Initial Release)

D3.1 Machine Learning & Automation for Crime Prevention and Investigation (Initial Release) (IOSB) (M8): Initial report on the machine learning and automation tools for the PREVISION platform.

Heterogeneous Data Streams Processing Tools (Refined Release)

D22 Heterogeneous Data Streams Processing Tools Refined Release CERTH M20 Refined report on the processing tools for the heterogeneous data streams of PREVISION

Communication Strategy and Dissemination Plan (Second Release)

D72 Communication Strategy and Dissemination Plan Second Release UPV M18 Comprehensive plan for the communication and dissemination actions of the project

Improved Operational and Situational Awareness Applications (Refined Release)

D42 Improved Operational and Situational Awareness Applications Refined Release ITTI M21 Final report on the improved operational and situational awareness applications of the PREVISION platform

Machine Learning and Automation for Crime Prevention and Investigation (Refined Release)

D32 Machine Learning Automation for Crime Prevention and Investigation Refined Release IOSB M20 Final report on the machine learning and automation tools for the PREVISION platform

Interim Societal, Ethical and Legal Impact Assessment

D8.2 Interim Societal, Ethical and Legal Impact Assessment (TRIL) (M12): Report containing the interim societal, ethical and legal assessment of system components, the questionnaires for the partners, the proposed mitigation measures and their implementation status, and recommendations for the deployment of PREVISION-like systems

Publications

MANIS: Evading Malware Detection System on Graph Structure

Auteurs: Peng Xu and Bojan Kolosnjaji and C. Eckert and Apostolis Zarra
Publié dans: Proceedings of the 35th Annual ACM Symposium on Applied Computin, 2020, Page(s) 1688–1695, ISBN 978-1-4503-6866-7
Éditeur: ACM Digital Library

ITI-CERTH participation in TRECVID 2020

Auteurs: Gkountakos, Konstantinos; Galanopoulos, Damianos; Mpakratsas, Marios; Touska, Despoina; Moumtzidou, Anastasia; Ioannidis, Konstantinos; Gialampoukidis, Ilias; Vrochidis, Stefanos; Mezaris, Vasileios; Kompatsiaris, Ioannis
Publié dans: 2020 TREC Video Retrieval Evaluation Notebook Papers, Numéro 16, 2020
Éditeur: NIST
DOI: 10.5281/zenodo.4506489

A $10 million question and other cybersecurity-related ethical dilemmas amid the COVID-19 pandemic.

Auteurs: Pawlicka, A., Choraś, M., Pawlicki, M., & Kozik, R.
Publié dans: Business Horizons, Numéro 64(6), 2021, Page(s) 729-734, ISSN 0007-6813
Éditeur: Elsevier

Prediction and visual intelligence for security information: The PREVISION H2020 project

Auteurs: Konstantinos Demestichas; Thi Bich Ngoc Hoang; Josiane Mothe; Olivier Teste; Md Zia Ullah
Publié dans: HAL, Numéro 2, 2020
Éditeur: CEUR-WS

Crowd Violence Detection from Video Footage

Auteurs: Gkountakos, Konstantinos; Ioannidis, Konstantinos; Tsikrika, Theodora; Vrochidis, Stefanos; Kompatsiaris, Ioannis
Publié dans: Crossref, Numéro 15, 2021, Page(s) 1-4, ISBN 978-1-6654-4220-6
Éditeur: IEEE
DOI: 10.5281/zenodo.4707134

Aggression Identification in Posts - two machine learning approaches

Auteurs: Ramiandrisoa, Faneva
Publié dans: https://hal.archives-ouvertes.fr/hal-03116190, Numéro 6, 2020, Page(s) 40-49
Éditeur: CEUR

IRIT-PREVISION AT HASOC 2020 : Fine-tuning BERT for Hate Speech and Offensive Content Identification

Auteurs: Mothe, Josiane; Parikh, Pratik; Ramiandrisoa, Faneva
Publié dans: Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC@FIRE 2020), Dec 2020, Hyderabad (virtual), India, Numéro 6, 2020
Éditeur: CEUR

Prediction and Visual Intelligence Platform for Detection of Irregularities and Abnormal Behaviour

Auteurs: Konstantinos Demestichas, Theodoros Alexakis, Nikolaos Peppes, Konstantina Remoundou, Ioannis Loumiotis, Wilmuth Muller, Konstantinos Avgerinakis
Publié dans: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020 (TWSDetection), Toulouse, 2020
Éditeur: CEUR-WS.org

An ML Model for Predicting Information Check-Worthiness using a Variety of Features

Auteurs: Md Zia Ullah
Publié dans: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020, 2020
Éditeur: ceur-ws.org

User Identity Linkage in Social Media Using Linguistic and Social Interaction Features

Auteurs: Despoina Chatzakou, Juan Soler-Company, Theodora Tsikrika, Leo Wanner, Stefanos Vrochidis, Ioannis Kompatsiaris
Publié dans: 12th ACM Conference on Web Science, 2020, Page(s) 295-304, ISBN 9781450379892
Éditeur: ACM
DOI: 10.1145/3394231.3397920

Aggression Identification in Posts - two machine learning approache

Auteurs: Faneva Ramiandrisoa
Publié dans: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020, 2020
Éditeur: ceur-ws.org

Topical Community Detection: an Embedding User and Content Similarity Method

Auteurs: Thi Bich Ngoc Hoang
Publié dans: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020 (TWSDetection), Toulouse, 2020
Éditeur: ceur-ws.org

Ethical and legal challenges of machine learning for trend and weak signal detection in social networks: an overview

Auteurs: Zuzanna Warso
Publié dans: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020, 2020
Éditeur: ceur-ws.org

Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project.

Auteurs: Demestichas, K., Hoang, T. B. N., Mothe, J., Teste, O., & Ullah, M. Z.
Publié dans: CIRCLE, Numéro Vol 2621, 2020
Éditeur: CEUR

Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media 2020

Auteurs: Mothe, J., & Hoang, T. B. N.
Publié dans: CEUR, Numéro Vol. 2606, 2020
Éditeur: CEUR

An Advanced Abnormal Behavior Detection Engine Embedding Autoencoders for the Investigation of Financial Transactions

Auteurs: Konstantinos Demestichas, Nikolaos Peppes, Theodoros Alexakis, Evgenia Adamopoulou
Publié dans: Information, Numéro 12/1, 2021, Page(s) 34, ISSN 2078-2489
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12010034

Can Today’s Machine Learning Pass Image-Based Turing Tests?

Auteurs: Apostolis Zarras, Ilias Gerostathopoulos, Daniel Méndez Fernández
Publié dans: Information Security - 22nd International Conference, ISC 2019, New York City, NY, USA, September 16–18, 2019, Proceedings, Numéro 11723, 2019, Page(s) 129-148, ISBN 978-3-030-30214-6
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-30215-3_7

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