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BDA4CID 2023

A Workshop at 2023 IEEE International Conference on Big Data (IEEE Big Data 2023)

December 15th - 18th, 2023, Sorrento, Italy

## Final Programme:

Time Title Authors
8:00 - 8:20 Welcome Chairs
8:20 - 8:45 Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users Hina Qayyum, Muhammad Ikram, Benjamin Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users Zi Hao Zhao, Ian Wood, Nicolas Kourtellis, and Mohamed Ali Kaafar
8:45 - 9:10 On mission Twitter Profiles: A Study of Selective Toxic Behavior Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian Wood, Nicolas Kourtellis, and Mohamed Ali Kaafar
9:10 - 9:35 Improving Cybersecurity Awareness: Tweet Classification using Multilingual Sentence Embeddings and Contextual Features Anastasia Cotov, Carlo Bono, Cinzia Cappiello, and Barbara Pernici
9:35 - 10:00 Clean-label Poisoning Attack against Fake News Detection Models Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, and Chaozhuo Li
10:00 - 10:20 Coffee Break  
10:20 - 10:45 Defending Federated Learning Against Model Poisoning Attacks Ibraheem Aloran and Saeed Samet
10:45 - 11:10 A Cascade CNN Model based on Adaptive Learning Rate Thresholding for Reliable Face Recognition Imen Labiadh, Larbi Boubchir, and Hassene Seddik
11:10 - 11:35 Transformer-based LLMs in Cybersecurity: An in-depth Study on Log Anomaly Detection and Conversational Defense Mechanisms Prasasthy Balasubramanian, Justin Seby, and Panos Kostakos
11:35 - 12:00 Complementary Attention-Based Deep Learning Detection of Fake Faces Supriyo Sadhya and Xiaojun Qi
12:00 - 12:15 Closing Remarks  

Outline

We’d like to continue the success of the International Workshops on Big Data Analytics for Cyber Intelligence and Defense (BDA4CID 2017) at the IEEE Big Data 2017 Conference in Boston, USA, Big Data Analytics for Cyber Intelligence and Defense (BDA4CID 2018) at the IEEE Big Data 2018 Conference in Seattle, USA, Big Data Analytics for Cyber Intelligence and Defense (BDA4CID 2019) at the IEEE Big Data 2019 Conference in Los Angeles, USA, the Big Data Analytics for Cyber Intellegence and Defence (BDA4CID 2020) held virtually and the Big Data Analytics for Cyber Intellegence and Defence (BDA4CID 2021) held virtually, and the Big Data Analytics for Cyber Intellegence and Defence (BDA4CID 2022) Osaka, Japan.

Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks, but also because of the large scale and complex nature of today’s IT infrastructures.

When significant amounts of data is collected from computer systems operations and monitoring, data science and intelligent advanced analytics are necessary to correlate, learn and mine, interpret and visualize such data. To mitigate existing cyber threats, it is important that cyber-attack detection and security analysis take advantage of data science and advanced analytics. Big data provides a systemic approach, from capturing of IT operation data, through data processing and event correlation, to anomaly detection and response decision.

This Workshop will focus on the cutting-edge developments from both academia and industry, with a particular emphasis on novel techniques to capture, store and process the big-data from a wide range of sources in monitoring IT infrastructures, and in particular on the methodologies and technologies which can be applied to correlate, learn and mine, interpret and visualize the cyber security data.

This workshop is timely and interesting for researchers, academics and practitioners in big data processing and analytics, cyber security, cyber defense, security analytics, data mining and machine learning of security data, security information and event management, along with anomaly detection. The workshop is very relevant to the big data community, especially data mining, machine learning, cyber physical systems, computational intelligence, and will bring forth a lively forum on this exciting and challenging area at the conference.

Previous workshops

Research Topics

The workshop only considers well-written manuscripts that describe original, unpublished, state-of-the-art research and practical work. Indicative topics for the workshop are as follows:

Cyber security analytics

Social media analytics

This year we are seeking papers which address the cybersecurity ‘data sharing paradox’ where organisations (including businesses, NGOs and government bodies) who possess datasets that could aid the development of better cyber-security are either unwilling, feel unable or are unable to share their data with others to solve the common problem. Papers could cover (but not limited to):

To contribute towards advances of knowledge, the workshop will solicit submissions of manuscripts from researchers and practitioners who are actively working in Big Data Analytics for Cyber Intelligence and Defense.

Paper Format

Papers should be formatted using the two column IEEE CS template and can be up to 10 pages (including references) in length using page size of 8.5” x 11”.

Formatting templates:

Submission webpage

Please submit your papers through the conference submission system here.

Review Process

Each submission will be peer reviewed by at least 2 peers.

Please note that the authors of each submitted paper will be expected to review one other paper.

Important Dates (All dates now firm)

please contact us Due date for full workshop papers submission
Nov 1, 2023 Notification of paper acceptance to authors
Nov 20,2023 Camera-ready of accepted papers
Dec 15-18 2023 Workshop (one day of)

Workshop Program Co-Chairs

Dr Stephen McGough
Reader in Machine Learning
School of Computing Science
Newcastle University
United Kingdom
E-mail : stephen.mcgough@newcastle.ac.uk

Dr Amir Atapour-Abarghouei
Assistant Professor
Department of Computing Science
Durham University
Durham, DH1 3LE
United Kingdom
Email: Amir.Atapour-Abarghouei@durham.ac.uk

Prof David Wall
Professor
School of Law
University of Leeds
Leeds
United Kingdom
E-mail: d.s.wall@leeds.ac.uk

International Technical Committee

To be confirmed

William Blanc Florida Polytechnic University, USA
Johan Fernquist Swedish Defence Research Agency, Sweden
Matthew Forshaw Newcastle University, UK
Phil Jackson Newcastle University, UK
Amirreza Niakanlahiji University of Illinois at Springfield, USA
Nik Khadijah Nik Aznan Newcastle University, UK