posted by user: sidchau || 682 views || tracked by 3 users: [display]

ACM EnergySP 2024 : ACM SIGEnergy Workshop on Cybersecurity and Privacy of Energy Systems

FacebookTwitterLinkedInGoogle

Link: https://energysp.github.io/
 
When Jun 4, 2024 - Jun 4, 2024
Where Singapore
Submission Deadline Mar 25, 2024
Notification Due Apr 26, 2024
Final Version Due May 3, 2024
Categories    cybersecurity   privacy   energy
 

Call For Papers

Cybersecurity and privacy are an important pillar of energy systems. Modernized energy systems, including smart grid, distributed/renewable energy resources, EV-charging infrastructure, smart homes, and smart buildings, have been facing a number of cybersecurity attacks. On the other hand, extensive data collection from such systems are calling for stronger privacy protection.

ACM SIGEnergy Workshop on Cybersecurity and Privacy of Energy Systems (EnergySP) aims to establish an open forum for novel research ideas to be exchanged and shared from the smart energy community in the context of cybersecurity and privacy. We aim to bring together diverse experts from the cybersecurity and privacy areas as well as from those from the energy sector to establish cross-disciplinary exchanges of knowledge and insights to tackle the critical challenges in securing our energy future and providing privacy assurance to energy applications.

We encourage researchers and experts in the field of cybersecurity energy systems to take the opportunity to use this workshop to share their work and open the discussion of new ideas on this evolving topic.

Topics of interest include, but are not limited to, the following:

- Cryptographical systems, secure key management, authentication, provenance, and access control for energy systems
- Cybersecurity of distributed energy resources and IoT devices
- Security analysis of energy management systems and grid controlling systems
- Industry standardization of secure energy management and control protocols
- Detection, prevention, and mitigation of cyber attacks and system anomalies in smart energy systems
- Cloud/Edge security for smart energy systems
- Machine/Deep learning and artificial intelligence approaches for security and privacy in smart energy systems
- Threat intelligence collection and analysis for smart energy systems
- Deception technologies for smart energy systems
- Moving target defense for smart energy systems
- Digital twins and testbeds for security and privacy risk assessment of smart energy systems
- SCADA and legacy system security
- Security by design and verification tools for smart energy systems
- Cyber attack and defense case studies on smart energy systems
- Human factors aspects in cybersecurity and privacy in smart energy systems
- Privacy-preserving energy systems and applications
- Privacy protection of energy data collection and sharing
- Blockchain-based secure energy systems

Submission format:

We invite papers with 4-6 pages in 9-point ACM double-column format (i.e., excluding references) and unlimited number of pages for appendices and references.

Accepted papers will appear in ACM digital library.

Submission website:

https://energysp24.hotcrp.com

Related Resources

Ei/Scopus-ACCMI 2024   2024 2nd Asia Conference on Automation, Cloud Computing and Machine Intelligence (ACCMI 2024)
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
CEVVE 2024   2024 2nd International Conference on Electric Vehicle and Vehicle Engineering (CEVVE 2024)
Security 2025   Special Issue on Recent Advances in Security, Privacy, and Trust
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
ITNG 2024   The 21st Int'l Conf. on Information Technology: New Generations ITNG 2024
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
NordSec 2024   The 29th Nordic Conference on Secure IT systems (NordSec) 2024
JoL 2024   International Journal of Law
KDD 2025   31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining