CYBER 2024 - The Ninth International Conference on Cyber-Technologies and Cyber-Systems
September 29, 2024 - October 03, 2024
CYBER 2024: Awards
Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).
The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
Awarded Papers (also Invited for IARIA Journals)
Graceful Degradation under Attack: Adapting Control Device Operation Depending on the Current Threat Exposure
Rainer Falk, Christian Feist, Steffen Fries
CAN Message Collision Avoidance Filter for In-Vehicle Networks
Uma Kulkarni, Sibylle Froeschle
Poisoning Attack Data Detection with Internal Coefficient Displacement for Machine Learning Based NIDS
Hajime Shimada, Takuya Kuwayama, Hirokazu Hasegawa, Yukiko Yamaguchi
The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.
Papers Invited for IARIA Journals
Towards Automated Checking of GDPR Compliance
Pauline Di Salvo-Cilia, Alba Martinez Anton, Clara Bertolissi
Analysing Cyber Challenges: Towards Enhancing Autonomous Vehicle Cybersecurity Resilience
Tanisha Soldini, Elena Sitnikova, Karl Sammut
Prepare for the Worst, Rather Than Hope for the Best: Preparing to Recover From Major Cyber Security Incidents
Anne Coull
GenAttackTracker: Real-Time SCADA-based Cyber Threat Detection Through Scoring and Bayesian Model Integration
Fatemeh Movafagh, Uwe Glässer
Artificial Intelligence and Semiotics: Using Semiotic Learning to Bolster AI
Joshua Sipper