AI-Powered Crime Detection and Prevention: Bridging Technology and Law Enforcement

Special session 10 will be supported by the Horizon Europe-funded projects AVALANCHE (GA: 101168393), TENSOR (GA: 101073920), PRESERVE (GA: 101168309) and the Research and Innovation Foundation-funded CYGNUS project (GA: DUAL USE/0922/0024)

Call for Papers: The submission deadline has been extended until 28/02/2025.

In recent years, the digital transformation has profoundly transformed the criminal landscape. The rise of the internet and social media platforms has empowered both organized crime and individual offenders, enabling them to leverage the latter for illicit activities. This shift presents significant challenges for Law Enforcement Agencies (LEAs), demanding a fundamental re-evaluation of their investigative and operational strategies.

While technological solutions for investigations and global cooperation do exist, they are mostly fragmented and myopic focusing on providing very narrow and isolated functions within their own boundaries without ensuring interoperability and international cooperation. In addition to this, criminals are increasingly exploiting digital technologies for a wide range of offenses, from traditional crimes facilitated by online tools (e.g., misinformation, deepfakes for identity fraud, etc.) to sophisticated cybercrimes. This necessitates the adoption of innovative approaches to detect, prevent, and apprehend offenders operating in this evolving digital ecosystem.

The proposed workshop aims to convene a diverse community of researchers from academia, industry, government, and LEAs. This interdisciplinary forum will serve as a landscape to:

• • Showcase cutting-edge research: Present the latest advancements in the application of Artificial Intelligence (AI), Machine Learning (ML), and analytics for crime and terrorism detection and prevention.

• • Foster collaboration: Facilitate the exchange of ideas and best practices among researchers, practitioners, and policymakers.

• • Address critical challenges: Explore innovative solutions to address the evolving threats posed by cybercrime and the exploitation of digital technologies for criminal purposes.

• • Highlight the role of A and emerging technologies: Discuss the potential of data analytics, machine learning, and other advanced technologies to enhance LEA capabilities in the fight against crime.

Key Enhancements:

• • Stronger opening: Emphasizes the transformative impact of the digital revolution on the criminal landscape.

• • Focus on key takeaways: Introduction of impactful and emerging technologies and solutions for SMEs and LEAs for fighting crime and terrorism.

• • Transformative solutions and significance: Explicitly mentioned methodologies, algorithms, tools, and solutions extending the State-of-the-Art (SotA) in fighting crime and terrorism.

Topics of interest

• • Big Data and Internet of Things (IoT) technologies for making detection and investigation easier for police and justice authorities;

• • Crime analytics to create safer communities and foster a proactive, technology-driven approach to combat criminal activities; and

• • Advances in A and predictive models, behavioural analytics, pattern recognition, biometric identification, and real-time monitoring for uncovering suspicious activities.

Important Dates:

• Abstract/Paper Submission Deadline: 28.02.2025 
• Notification of Acceptance: 30.03.25 
• Final Paper Submission Date: 04.05.25 

Session’s Workshop Chairs

• • Mariza Konidi (Ubitech Ltd)
  • Dr. Sophia Karagiorgou (Ubitech Ltd)
  • Dr. Spyros Evangelatos (Netcompany-Intrasoft)
  • Eleni Veroni (Netcompany-Intrasoft)

Session’s Organizing Committee

• Dr. Valentina Michailidou (ISTOGNOSIS)
• Dr. Ioannis Constantinou (ISTOGNOSIS)
• George Pantelis (Ubitech Ltd)
• Ioannis Pastellas (Ubitech Ltd)
• Theodora Anastasiou (Ubitech Ltd)
• Yannis Skourtis (IDIR)
• Dr. Elena Valari (ITML)
• Dr. Apostolos Apostolaras (Centre for Research & Technology, Hellas (CERTH) and University of Thessaly)
• Dr. Asterios Leonidis (University of Crete and Foundation for Research and Technology – Hellas (FORTH))
• Dr. George Bravos (ITML)

Registration & Submission Guidelines:

Authors are invited to submit original contributions on all ΕΕΙΤΕ-related aspects within the technical areas listed here. Only full 2-column, with minimum 4 pages – papers, prepared according to ΙΕΕΕ paper templates will be peer-reviewed and checked for plagiarism using the IEEE CrossCheck portal. Papers should be uploaded in PDF-format through the online conference system before Friday 28 February 2025.

The presenters, who would like to benefit from a publication to the proceedings volume, should prepare and submit their full paper of their presentation, ready for peer review, before the deadline. Final versions of accepted full papers which will be presented at oral or poster sessions at EEITE 2025, will be submitted for publication in the IEEE Xplore® database. The Best Symposium Paper and Best Student paper will be selected by the International Steering Committee and awarded at the conference dinner.

Please follow instructions regarding the preparation of your paper in IEEE Manuscript Templates for Conference Proceedings

Please download the full paper template file in Microsoft Word A4 (DOC, 30 KB) US letter (DOC, 30 KB)

The deadline for the submission of the full papers or extended abstracts is Friday 28 February 2025.

SUBMISSION

Registration fees – EEITE 2024

* For Publication in the Conference Proceedings by IEEE and indexing in IEEExplore, Scopus, Google Scholar, etc (after peer review), with 2 Coffee-breaks per day and a Banquet: 250 EUR (for registration until April 13, 2025) or 300 EUR (for registration after April 13, 2025)

REGISTRATION

Find out more on: https://eeite.hmu.gr/