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Sensors S&P 2023 : The International Workshop on Security and Privacy of Sensing Systems

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Link: https://sensorssp.github.io/sensorssp23/
 
When Nov 12, 2023 - Nov 12, 2023
Where Istanbul, Turkiye
Submission Deadline Sep 22, 2023
Notification Due Oct 13, 2023
Final Version Due Oct 25, 2023
Categories    sensor networks   security   privacy   internet of things
 

Call For Papers

The First International Workshop on Security and Privacy of Sensing Systems (Sensors S&P 2023) will be held in conjunction with ACM SenSys 2023.

As sensing systems become increasingly ubiquitous in various safety-critical IoT applications, such as smart cities, healthcare, environmental monitoring, and industrial automation, providing security and privacy guarantees becomes increasingly elusive. The widespread deployment of networked sensors and the rapid advancements in black-box deep learning models capable of encoding large amounts of information into embeddings have led to heightened concerns about the potential misuse of sensitive data and the vulnerability of these systems to malicious attacks. The shift from specialized, domain-specific sensors to universal sensor paradigms necessitates novel approaches to ensuring security and privacy in these complex IoT ecosystems.

The Sensors S&P workshop addresses the above and other unique challenges to providing security and privacy guarantees in IoT sensor systems. We will provide a forum for researchers, practitioners, and industry partners to exchange ideas, present novel research findings, and foster collaborations among participants related to sensor security and privacy. The event will cover a wide range of topics related to security and privacy in sensing systems, including but not limited to:

- Assessing and mitigating security risks in safety-critical IoT applications
- Privacy-enhancing technologies for sensor data protection
- Secure communication protocols for sensor networks
- Secure and private sensor-fusion pipelines
- Authentication and access control mechanisms in IoT sensing systems
- Privacy-preserving machine learning and AI techniques for sensing systems
- Intrusion detection and response techniques for sensor networks
- Security and privacy challenges in IoT system interoperability
- Security and privacy issues in deep learning models for distributed sensing system
- Blockchain and distributed ledger technologies for secure IoT sensing
- Lightweight cryptographic algorithms for resource-constrained IoT devices
- End user security and privacy with human sensing interfaces
- Legal, regulatory, and ethical considerations in IoT security and privacy

Important Dates

- Workshop Papers Due 22 September, 2023, 23:59 AoE
- Workshop Paper Notification 13 October, 2023
- Workshop Paper Camera Ready 25 October, 2023, 23:59 AoE
- Workshop Day 12 November 2023

Submission Instructions

We invite technical Papers up to 6 pages (including everything except references), reporting on novel research, to be presented at the workshop as an oral presentation.

Submissions should be previously unpublished, and not currently under review by another conference or journal. Papers should be submitted for consideration via the workshop website, prior to the submission deadline, and must adhere to the provided formatting guidelines. All submissions must use the LaTeX styles found here . Papers that do not meet the size and formatting requirements will not be reviewed. Please note that ACM uses 9pt fonts in all conference proceedings, and the LaTeX style implicitly defines the font size to be 9pt.



Submission site: https://sensorssp23.hotcrp.com/

Organizing Committee

Program Chairs

- Fatima Anwar (University of Massachusetts, Amherst)
- Luis Garcia (University of Utah)

Program Committee

- Yasser Shoukry (University of California, Irvine)
- Akash Deep Singh (Ownwell)
- Yuan Tian (University of California, Los Angeles)
- Taegyu Kim (Pennsylvania State University)
- Alan Liu (Boston University)
- Sriharsha Etigowni (NREL)
- Salma Elmalaki (University of California, Irvine)
- Taqi Raza (University of Massachusetts, Amherst)
- Faysal Shezan (University of Texas, Arlington)
- Ruoyu Wu (Purdue University)
- Ilias Giechaskiel (Jump Trading)

Keynote Speaker

- Berkay Celik (Purdue University)

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