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AI session presentations.pdf

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Artificial Intelligence AI• SU-AI01-2020

• SU-AI02-2020

• SU-AI03-2020

chaired by Jeannette Klonk (FFG/SEREN4) and Anna-Mari Heikkila (VTT)

AI Session Agenda

• <Description of the proposed project>

• <Be brief and clear. Focus on key strong/selling points>

• <1 slide with a diagram/illustration is recommended >

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# Topic ORGANISATION PRESENTER

01 SU-AI01-2020 ZANASI & Partners Giovanni VASSALLO

02 SU-AI02-2020 Spanish National Research Council David Arroyo Guardeño

03 SU-AI02-2020 Fraunhofer Institute - EMI Katharina Ross

04 SU-AI02-2020 WaryMe Boris BERGER

05 SU-AI02-2020 ITTI Sp. z o.o. Piotr Tyczka

06 SU-AI03-2020 Trinity College Dublin Derek Ross

AI Session

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01 SU-AI01-2020 ZANASI & Partners Giovanni VASSALLO

PANACEA(Platform on Artificial iNtelligence for lAw Enforcement Agencies )

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Giovanni VASSALLO ([email protected])

• Giovanni VASSALLO

• Italian SME specialised in security, defence andintelligence, winner of:

• More than 20 EC-funded security projects

• First and Second EDA PADR (STF-2017/2018):PYTHIA + SOLOMON

• Role: Proposal coordinator

• Proposal activity: SU-AI01-2020

PANACEA’s idea• Provide a unified platform for LEAs,

to keep them updated on:

1. Data that LEAs already have, in order to exploit them in new ways thanks to AI;

2. Upcoming AI developments that LEAs should adopt or be aware of (including malicious use of AI);

3. Best practices and gaps comparing LEAs from different countries (including non-EU).

→ Knowledge gathered through the platform will provide a cyclically-updated roadmap on AI for EU LEAs

AI roadmapfor EU LEAs

(cyclically updated)

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AI developments

Already available

data

Best practices


Project participants

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• Coordinator: Zanasi & Partners (IT)

• Partners / Other participants:

• AI experts• Bundeswehr University (DE)

• GFT (IT)

• DGAP (DE)

• DRI (FR)

• HCSS (NL) [TBC]

• IIT (IT) [TBC]

• LEAs• Turkish Gendarmerie (TR)

• Latvian State Police (LV) [TBC]

• Mossos d’Esquadra (ES) [TBC]

• Looking for:

• AI experts

• LEAs


AI Session

• <Description of the proposed project>

• <Be brief and clear. Focus on key strong/selling points>

• <1 slide with a diagram/illustration is recommended >

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02 SU-AI02-2020 Spanish National Research Council David Arroyo Guardeño

03 SU-AI02-2020 Fraunhofer Institute - EMI Katharina Ross

04 SU-AI02-2020 WaryMe Boris BERGER

05 SU-AI02-2020 ITTI Sp. z o.o. Piotr Tyczka

Smart cybersecurity for law enforcement

• David Arroyo Guardeño & Sara Degli Esposti

• [email protected]; [email protected]

• Spanish National Research Council (CSIC)

• Role: Proposal coordinator OR WP leader

• Proposal activity: Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity operations and prevention and protection against adversarial Artificial Intelligence | Call ID: H2020-SU-AI02-2020

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David Arroyo ([email protected]) & Sara Degli Esposti ([email protected])

Coherent framework for the creation/management of high-quality training/testing data sets for AI

SMIG

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EU agencies

Law Enforcement Agencies (LEAs)

DATA

Public AI Blind Trust

Scientists

RESILIENT TOOLS

Cryptanalysts ML experts


Data curation and health• High-quality training and

testing data sets for AI and needed technical developments

• Data minimization and trust management for cyberintelligence sharing

• Confidentiality and privacy protection by default

• Standards for IT and AI governance

• Development of cyber-awareness campaigns to foster a better understanding and public acceptance of AI tools for law enforcement

• Comparative analysis of existing EU national legal provisions enabling the sharing of LEA and judiciary systems data

• Legislative changes at European and Member State level

• Ethical and operational implications for LEAs

Multidisciplinary point of view• ICT and cryptographic

engineering• socio-economic science and

humanities• gender studies


• Proposed coordinator: CSIC could, but it is open (large/SME preferable)


• International HPC company

• Initial contact with Spanish LEAs

• Looking for partners with the following expertise/ technology/ application field:

• LEAs from three different EU countries

• Cybersecurity company

• Machine learning and data science company

• Experts in adversarial machine learning

• Researchers in the creation of novel legal and regulatory frameworks according to the GPDR and EU Cybersecurity Act

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Multilingual And Multimodal AI-based LEA training platformWorking title: MAMA-LEAD

• Katharina Ross

• [email protected]

• Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI; Germany

• Role: Proposal coordinator or WP leader

• Proposal activity: SU-AI02-2020:

Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity, operations and prevention and protection against adversarial Artificial Intelligence.

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Katharina Ross ([email protected])

Proposal idea/content

• The aim of this proposal idea is to build a sustainable AI-based training platform for LEAs that fulfils the following aspects:

• Multilingual approach to be internationally clear

• Combination of different technologies for cybersecurity and fight against crime, e.g. to identify manipulated digital photos, manipulated emails, suspicious e-commercial or banking activities, etc. to strengthen digital evidence-making

• Integrated innovative AI-based algorithms to identify malicious use of the tools and adversarial AI-tools

• A clear presentation of the results to support the LEAs in their dailywork

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• Proposed coordinator: Fraunhofer EMI or other

• Partners / Other participants: LAUREA (Finland)


• LEAs from different European countries

• Ethical experts to identify GAPs in existing technologies

• Legal experts to guarantee the digital evidence proof

• Big data experts

• Technology providers with innovative solutions for LEAs

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Automatic Personal EmergencySituation Qualification

• Boris BERGER


• WaryMe

• Role: WP leader & S/T provider

• Proposal activity: SU-AI02(Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity operations and prevention and protection against adversarial Artificial Intelligence) SM

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Boris Berger – [email protected]

Proposal idea/content• Objectives :

• Qualify emergency situations withAI based on smartphone sensors(audio, accelerometer, gyroscope)and wearables.

• Build a priority score for each individual event

• Stake :

• Automate the understanding of major events(e.g. terrorist attack, Nov 2015, Paris)

• Challenges

• AI algorithms embedded onto smartphones to limit the volume of data exchanged on mobile networks (high population density)

• Learning strategy

• Legal issues and acceptability 15


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• Proposed coordinator: To be found


• Technology provider : Startup (France), AI based audio analysis

• Technology provider : SME (France), global security hypervisor

• End users – Experimenter : App-Elles, mobile App dedicated to fight against violence to women (personal alerting solution based on WaryMe technology).

• End users – Experimenter : Public Transport services (France)


• Project Coordinator

• Law enforcement authorities16


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Security tools with AI to support and reinforce capacity of LEAs

• Piotr Tyczka


• ITTI Sp. z o.o. (Poznań, Poland)

• Role: WP leader and/or S/T provider

• Proposal activity: SU-AI02-2020: Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity operations and prevention and protection against adversarial Artificial Intelligence SM

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Piotr Tyczka – [email protected]

Proposal idea/content• Objective: Provision of IT tools that address LEA operation activities

to analyse software for searching the malwares and crime evidences

• Development of security tools with AI that:

• are installed in networks

• allow automatically identifying vulnerabilities and threats

• can help in the security forensic using a sandbox with plug-ins for automatic investigation scenarios

• LEAs will provide use-cases and scenarios that can be computerised using these tools for automatic searching, detecting and collecting

• malware activities in applications and operating systems,

• evidences left using:

• electronic devices (like PCs, smartphones and routers),

• resources (like Internet, social media, mobile networks and clouds)18


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• Proposed coordinator: TBD


• ITTI – Research role and IT role (software development, system integration)

• Looking for partners with the following expertise /technology/ application field:

• security practitioners,

• civil society organisations,

• experts on criminal procedure,

• Law Enforcement Agencies

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AI Session

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06 SU-AI03-2020 Trinity College Dublin Derek Ross

Ethical use of TecHnology for Investigating Crime (ETHIC)

• Derek Ross


• Centre for Innovative Human Systems, Trinity College Dublin

• Role: WP leaderr


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Derek Ross [email protected]

mailto:[email protected]


ETHIC proposal idea/content

• Aim: R&D implementationof ethical AI for LEAs

• How: Systemic Human Factors analysis and recommendations

• Socio-Technical CUBE Analysis

• People; Society; Regulation; Ethical and Legal; Technologies

• Understand barriers and enablers to implementation

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ETHIC project participants

• Proposed coordinator: AI / LEA expert


• SMEs

• NGOs

• Technology partners: AI / Big Data Analytics

• Social Sciences and Humanities


• End-users

• Technology

• Research 23

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SU-AI02-2020_n_GARDIKIS.pdf

SU-AI02-2020_n_LUCCINI.pdf

SU-AI02-2020_n_SACRISTAN.pdf

smi2g-AI_presentation-Rashel Talukder (1).pdf

SU-AI02-2020_n_EVANGELATOS.pdf

AI for securing LEA infrastructuresagainst cyberthreats

• Dr. Georgios Gardikis, R&D Manager


• Space Hellas S.A. (Industry/Midcap – ICT Integrator and value-added services provider)

• Role: WP leader, S/T provider


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Dr. Georgios Gardikis, Space Hellas S.A.

S/T offering also applicable to DS02, DS03, DS04, INFRA02

Proposal idea/content• Application of Machine Learning techniques for cyber (network and endpoint)

security for LEAs

• Based on developments over the Apache Spot platform, built on well-established Big Data technologies (Hadoop, Spark, Hive, Kafka etc.), supporting ML algorithms such as Latent Dirichlet Allocation, Autoencoder, Random Forest etc.

• Cyber incident detection and classification

• TRL6, tested and validated in production networks in past and running projects (H2020 SHIELD, H2020 5GENESIS)

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• Proposed WP leader: Space Hellas S.A. (WPx – AI for Cyber Resilience)

• Partners / Other participants: tbd


• Partners with expertise on Machine Learning for cyber (network/endpoint) security

• Pilot site owners / Dataset providers

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SU-AI02-2020_LUCCINI

• Angelo Marco LUCCINI• [email protected]• SUCCUBUS INTERACTIVE• WP leader, S/T provider

• Proposal activity: SU-AI02-2020: Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity operations and prevention and protection against adversarial Artificial Intelligence SM

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Angelo Marco LUCCINI, [email protected]

Proposal idea/content• Early detection of potential threats at borders through

enhanced (via adversarial AI) automated screening of persons under control.

• (SUCCUBUS INTERACTIVE) leading the task that would support automated screening at borders through touch screens. An animated character (virtual customs officer) is displayed and asks questions that the user (i.e. the controlled person) answers. A camera films the user and detects her/his micro-emotions. If needed, through a database of questions that might trigger emotions, and with machine-learning (trained by adversarial AI) we improve the quality of detection / interaction.

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Projectparticipants• Proposed coordinator: Academic institution / LEA• Partners / Other participants:• Visual graphics & rendering, autonomous characters (FR)• Intelligence & Security expertise (IT)

• Looking for partners with the following expertise/ technology/ application field:• LEAs

• Police and Customs Cooperation Centers (PCCCs),• Joint Investigation Teams.

• Academic institutions• AI• Psychology• NLP

• Tech providers (e.g. touch screens, servers)3


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Secure and resilient Artificial Intelligence for LEAs and citizens• Marcos Sacristán, [email protected]• Javier Gutiérrez, [email protected]

• Tree Technology – www.treetk.com (former Treelogic)• Spanish SME, expertise in Big Data and Artificial Intelligence• Big Data and AI-based solutions with high TRLs in different sectors• Experienced team: >30 EU projects | >10 EU projects in SEC

• Role: Technical WP leader • Artificial Intelligence

• Proposal activity: SU-AI02-2020 “Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity operations and prevention and protection against adversarial Artificial Intelligence”

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Marcos Sacristán (TREE TECHNOLOGY) – [email protected]



http://www.treetk.com/


Proposal idea/content• AI-based capabilities

• AI to support LEAs: Threat Intelligence (anomaly detection,

pattern recognition, machine learning, automated data analysis...); Computer Vision (detection and tracking of people, feature identification and background understanding, human pose estimation and activity recognition...). Natural Language Processing (entity recognition for text analysis and understanding, text

analytics...)

• AI Security: Adversarial ML (protection against techniques which attempts to fool models through malicious input to cause a malfunction in standard machine learning models).

• Privacy-preserving AI: Federated Machine Learning (privacy preservation while allowing data sharing. Background: H2020 project Musketeer https://musketeer.eu/)

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https://musketeer.eu/



• Proposed coordinator: TBD

• Partners / Other participants:• Artificial Intelligence – TREE Technology

• Contacts with LEAs

• Contacts with other organisations with expertise in AI

• Looking for partners with the following expertise/ technology/ application field:• Coordinator

• Other experts in AI

• Automatic translation and multilingual analysis

• Ethics and legal

• End users (LEAs) 3


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The AI topics we are interested in:• Rashel Talukder, Polish Platform for Homeland Security


• Role: Work Package Leader/Partner in WPs

• Topics of interest:

• SU-AI01-2020: Developing a research roadmap regarding Artificial Intelligence in support of Law Enforcement

• SU-AI02-2020: Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity operations and prevention and protection against adversarial Artificial Intelligence

• SU-AI03-2020: Human factors, and ethical, societal, legal and organisational aspects of using Artificial Intelligence in support of Law Enforcement

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Rashel Talukder, Managing Director, [email protected]



Who we are?

• Polish NGO established in 2005

• Associates representatives of Polish LEA, universities and experts indifferent security domains

• Cooperates with national and European practitioners in the area ofsecurity, sociology of security, civil society, migration, radicalisation,cybersecurity, anticorruption, prevention etc.

• Partner of security networks (ENLETS, i-LEAD, Threats Observatoryfor Young People)

• Since 2015 participates in EU proposals and projects (as a Partnerand Work Package Leader)

• 9 ongoing projects (2 national, 5 H2020, 2 ISF-Police)

• Range of activities: national and international level

• More information at: www.ppbw.pl/en

• www.twitter.com/PolishPlatform 2


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http://www.ppbw.pl/en

http://www.twitter.com/PolishPlatform


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• Effective diagnosis of LEA needs -> end-user requirements,usecases, scenarios

• Access to field tests, exercises in operational environment

• Research in the field of standardization

• Communication&Dissemination activities

• Legal analysis

• Development of training materials and conducting trainings

• Contacts to Polish LEAs and LEAs across different EU MemberStates (potential consortium partners)

What we can offer:


Streamhandler Platform for intelligent security and privacy management

• Spyros Evangelatos


• INTRASOFT International S.A.

• WP leader, S/T provider

• Proposal activity: SU-AI02-2020 - Secure and resilient Artificial Intelligence technologies, tools and solutions in support of Law Enforcement and citizen protection, cybersecurity operations and prevention and protection against adversarial Artificial Intelligence• Assets also suitable for SU-AI-01, SU-AI-03, SU-FCT-01, SU-FCT-02, SU-FCT-03, SU-FCT-04

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Spyros Evangelatos - [email protected]

Proposal Idea/Content

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• Challenge:

❑Assess how to mostly benefit from the AI-based technologies in enhancing EU’s resilience against newly emerging security threats (both “classical” and new AI supported) and

❑Reinforce the capacity of the Law Enforcement Agencies (LEAs) at national and at EU level to identify and successfully counter those threats

• Proposed Solution:

❑Novel, trustworthy, accountable, responsible and transparent AI tools interoperable, secure by design including ethics by design that will support LEAs in their daily operations

❑Easy-to-Integrate and Interoperable Software and Hardware solutions that will assist LEAs to prevent, detect and investigate criminal activities and terrorism

❑Establishment of a sustainable AI community for LEAs, RTOs and industry as well as a specific environment where relevant AI tools tailored to specific needs of the security sector, including the requirements of LEAs.

Assets, expertise & relevant projects• Big Data Stream Handler – A high-performance (low latency and high throughput) distributed streaming

platform for handling real-time data. It can efficiently ingest and handle massive amounts of data into processing pipelines, for both real-time and batch processing. The platform and its underlying technologies can support any type of data-intensive ICT services (Artificial Intelligence, Business Intelligence, etc.) from cloud to edge.

• iDACC – International’s Data Analytics Competence Center focuses on facilitating the digital transformation of organizations, so they are not overwhelmed by the complexity, steep learning curve and plethora of available Big Data platforms and cognitive algorithms to choose from,

• MeliCERTes – The Cyber Security Platform (https://github.com/melicertes/csp) • MeliCERTes is a network for establishing confidence and trust among the national Computer Security Incident

Response Teams (CSIRTs) of the Member States and for promoting swift and effective operational cooperation

• Continuous Integration / Continuous Delivery• DevOps Approach, System Design• Agile Development and Continuous Integration • Continuous Testing and Deployment • Technical Support

• Relevant projects:• PHOENIX – Incidents info sharing platform • SecureIoT – Security Risk Management-as-a-Service• CYBECO – Behavioural Cyber Security module• INSPEC2T – Community Policing platform

• Contacts:• CERTs/CSIRTs• Law Enforcement Agencies• Police and Customs Cooperation Centers (PCCCs)

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https://github.com/melicertes/csp

Human behaviour in security

• Merylin Monaro


• University of Padova (Italy)

• Role: partner (or WP leader)

• Proposal activity: SU-AI02, SU-AI03, SU-FCT01, SU-FCT03, SU-BES01, SU-BES02, SU-BES03

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Merylin Monaro – [email protected]

Proposal idea• Deception detection (e.g., fake social network

profiles, fake reviews, fake news) through keystroke dynamics

• Detection of target individuals (e.g., people with extremist views, false identities etc.) through mouse tracking

• Deception detection through the analysis of facial micro-expressions or through facial thermography

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• Predicting the risk of crime behaviour from Online Social Networks


• We are open to join Consortiums who are interested in including human factors in their proposal


- Machine Learning group and security group, Department of Mathematics, University of Padova

- Department of Information Engineering, Infrastructure and Sustainable Energy (DIIES), University "Mediterranea" of Reggio Calabria

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