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ORCIDEICC 2024: Xanthi, Greece
- Shujun Li, Kovila P. L. Coopamootoo, Michael Sirivianos:
European Interdisciplinary Cybersecurity Conference, EICC 2024, Xanthi, Greece, June 5-6, 2024. ACM 2024
Main track
- Ellie Prosser
, Matthew Edwards:
Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention. 1-10 - Kris Heid, Jens Heider:
Haven't we met before? - Detecting Device Fingerprinting Activity on Android Apps. 11-18 - Brooke Kidmose, Weizhi Meng:
can-sleuth: Investigating and Evaluating Automotive Intrusion Detection Datasets. 19-28 - Vasileios Perifanis, Efstathios Karypidis, Nikos Komodakis, Pavlos S. Efraimidis:
SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion. 29-36 - Tobias Pfaller, Florian Skopik, Paul Smith, Maria Leitner:
Towards Customized Cyber Exercises using a Process-based Lifecycle Model. 37-45 - Tomas Bueno Momcilovic, Dian Balta:
Emergent Needs in Assuring Security-Relevant Compliance of Information Systems. 46-49 - Xinchuchu Gao, Xuechen Chen:
Understanding the Evolution of Transatlantic Data Privacy Regimes: Ideas, Interests, and Institutions. 50-56 - Recep Yildirim, Kerem Aydin, Orçun Çetin:
Evaluating the Impact of Conventional Code Analysis Against Large Language Models in API Vulnerability Detection. 57-64 - Satoshi Okada, Houda Jmila, Kunio Akashi, Takuho Mitsunaga, Yuji Sekiya, Hideki Takase, Gregory Blanc, Hiroshi Nakamura:
XAI-driven Adversarial Attacks on Network Intrusion Detectors. 65-73 - Pascal Memmesheimer, Stefan Machmeier, Vincent Heuveline:
Increasing Detection Rate for Imbalanced Malicious Traffic using Generative Adversarial Networks. 74-81 - Jesús Esteban Díaz Verdejo, Rafael Estepa, Antonio Estepa Alonso, Javier Muñoz-Calle:
Insights into anomaly-based intrusion detection systems usability. A case study using real http requests. 82-89 - Matthew Levy, Froylan Maldonado:
Attack Surface Measurement: A Weird Machines Perspective. 90-94 - Robert Andrew Chetwyn, Martin Eian, Audun Jøsang:
Modelling Indicators of Behaviour for Cyber Threat Hunting via Sysmon. 95-104 - Leon Twenning, Harald Baier:
Towards arbitrating in a dispute - on responsible usage of client-side perceptual hashing against illegal content distribution. 105-114 - Roman Matzutt, Eric Wagner:
Towards Improving Accountability in Sensitive-Disclosure Scenarios. 115-119 - Yichao Wang, Budi Arief, Julio C. Hernandez-Castro:
Analysis of Security Mechanisms of Dark Web Markets. 120-127 - Meryem Berfin Ozkok, Baturay Birinci, Orçun Çetin, Budi Arief, Julio C. Hernandez-Castro:
Honeypot's Best Friend? Investigating ChatGPT's Ability to Evaluate Honeypot Logs. 128-135 - Tanya Koohpayeh Araghi, David Megías, Victor Garcia-Font, Minoru Kuribayashi, Wojciech Mazurczyk:
Disinformation detection and source tracking using semi-fragile watermarking and blockchain. 136-143 - Nils von Nethen, Alexander Wiesmaier, Nouri Alnahawi, Johanna Henrich:
PMMP-PQC Migration Management Process✱. 144-154
Medical Device Security and Privacy - MeDSec 2024 special session
- Karin Bernsmed, Martin Gilje Jaatun:
Security-by-design challenges for medical device manufacturers. 155-160
Complex Network Analysis for Cybersecurity - CNACYS special session
- Juan Manuel Matalobos Veiga, Regino Criado, Miguel Romance Del Rio, Sergio Iglesias Perez, Alberto Partida Rodriguez, Karan Kabbur Hanumanthappa Manjunatha:
A Hypergraph-based Model for Cyberincident-related Data Analysis. 161-162
Digital Privacy for Industrial Applications - DP4I special session
- Umit Cali, Sri Nikhil Gupta Gourisetti, David Jonathan Sebastian Cardenas, Ferhat Özgür Çatak, Annabelle Lee, Linda M. Zeger, Taha Selim Ustun, Marthe Fogstad Dynge, Sreedhar Rao, Javier E. Ramirez:
Emerging Technologies for Privacy Preservation in Energy Systems. 163-170
Federated Learning Applications in the Real World - FLARW special session
- Xiangyu Ma, Wei Shi, Junfeng Wen:
An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning. 171-178 - Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis:
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training. 179-185 - Jeroen Klein Brinke, Martijn van der Linden, Paul J. M. Havinga:
Using Federated Learning and Channel State Information-Based Sensing for Scalable and Realistic At-Home Healthcare. 186-193 - Eleni Briola, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis:
A Federated Explainable AI Model for Breast Cancer Classification. 194-201
Advances in Interdisciplinary Cybersecurity: Insights from Funded Research Projects - CyFRP 2024 special session
- Rei Yamagishi, Shota Fujii:
Survey and Analysis of User Perceptions of Security Icons. 202-209 - Alexander Lawall, Petra Beenken:
A Threat-Led Approach to Mitigating Ransomware Attacks: Insights from a Comprehensive Analysis of the Ransomware Ecosystem. 210-216 - Jesús Esteban Díaz Verdejo, Rafael M. Estepa-Alonso, Antonio Estepa Alonso, Javier Muñoz-Calle, Germán Madinabeitia:
Biblio-US17: A labeled real URL dataset for anomaly-based intrusion detection systems development. 217-218 - Roman Matzutt:
Towards Access Control for Machine Learning Embeddings. 219-220
Poster session
- Simon Vrhovec, Igor Bernik, Damjan Fujs, Damjan Vavpotic:
Cybersecurity competence of older adult users of mobile devices. 221-223
Keynotes
- Steven Furnell:
Cyber Security for SMEs - Clear, Consistent and Complete? 224 - Christos Douligeris:
Cybersecurity awareness and training: The CyberSecPro and NERO approaches. 225
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