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Rómulo Andrés Gallego Torres Ph. D
Doctor en Educación, UPV/EHU -España
Director
Revista Entropía Educativa
Entropía Educativa – Centro de Investigación
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The Fifth Intelligent Cybersecurity Conference (ICSC2025)
Hybrid Event
https://www.icsc-conference.org/2025/
Tampa, Florida, USA. May 19-22, 2025
Technically Co-Sponsored by IEEE Florida West Coast Section
ICSC 2025 CFP:
In today’s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others.
The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to:
Submissions Guidelines and Proceedings
Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion.
Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages.
Important Dates:
Contact:
Please send any inquiry on ICSC to Fahed Alkhabbas at: fahed.alkhabbas@mau.se
CALL FOR COMPETITION: FEST @ ICDAR 2025
Competition on few-shot text line segmentation
https://ai4ch.uniud.it/FESTcompICDAR25/
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We are glad to announce FEST: Competition on FEw-Shot Text line segmentation of ancient handwritten documents (FEST), in conjunction with the 19th International Conference on Document Analysis and Recognition ICDAR 2025.
Competition Overview:
Text line segmentation is a crucial component of Document Image Analysis, particularly for ancient handwritten documents. It directly influences subsequent tasks like optical character recognition, layout analysis, and information extraction.
This competition challenges participants to develop systems capable of segmenting text lines using only three annotated images per manuscript for training. The dataset features a diverse collection of ancient manuscripts with varying layouts, levels of degradation, and non-standard formatting, reflecting real-world complexities. By focusing on few-shot learning, this competition aims to encourage the development of methods that can be readily applied by humanities scholars without the need for extensive manual annotation, fostering broader adoption of automated document analysis tools.
Competition Tasks:
We challenge the participants to perform the task of textline segmentation on the proposed dataset, U-DIADS-TL, in a few-shot setting, providing only three images, with their corresponding ground truths, as the training set for each of the three manuscripts comprising it.
Important Dates:
• Registration Open: 10 December, 2024
• Test set release to participants: 7 April, 2025
• Deadline of the Competition: 20 April, 2025
• Winner announcement: 30 June, 2025
For any additional information, please visit the website: https://ai4ch.uniud.it/FESTcompICDAR25/