SP2I 2021

International Workshop on Security and Privacy in Intelligent Infrastructures (SP2I 2021)

to be held in conjunction with the 16th International Conference on Availability, Reliability and Security
(ARES 2021 – http://www.ares-conference.eu)

August 17 – August 20, 2021

Nowadays, Intelligent Infrastructures (IIs) represent various domains such as Internet of Vehicles, e-Healthcare, Smart Cities services, Smart Grids and Smart Home applications. Intelligent Infrastructure services consist of layers that capture, exchange, and analyze data as well as invoke autonomic responses sometimes supported by emerging Artificial Intelligent (AI) techniques. The goal of Intelligent Infrastructures is higher level of convenience for mankind, but with those promises have come privacy and security issues and concerns. Therefore, increasing security and privacy in Intelligent Infrastructures by designing new efficient solutions is an important research direction. Moreover, quantum resistant security and connecting privacy with law are also important research topics nowadays.

The SP2I 2021 workshop aims at collecting the most relevant ongoing research efforts in the field of privacy and security in Intelligent Infrastructures. This workshop also welcomes submissions that deal with interdisciplinary research connecting privacy to law, formal modeling, policy, and data privacy management. The SP2I also serves as a forum for relevant research projects to disseminate their privacy and security-related results and boost future cooperation.

The workshop is supported by the European Union’s Horizon 2020 SPARTA (https://www.sparta.eu) project #830892 and the Ministry of the Interior of the Czech Republic under grant VJ01030002 (International Partnership for Cryptography and Cybersecurity Research).

Topics of interest include, but are not limited to:

Anonymity, Privacy, and Traceability
Applied Cryptography and Security in Intelligent Infrastructures
Applied Post-Quantum Cryptography in Intelligent Infrastructures
Authentication and Access Control
Blockchain Privacy
Cloud Computing and Privacy
Data Privacy and Personal Information Management
Distributed Systems Security
Formal Modelling in Intelligent Infrastructures
Identity and Trust Management
Internet of Things (IoT) Security and Privacy

Lightweight Cryptography
Network and Wireless Security and Privacy
Operating Systems Security in Intelligent Infrastructures
Privacy and Law
Privacy Preserving / Enhancing Technologies
Privacy Protection in Intelligent Infrastructures
Quantum Resistant Privacy Enhancing Technologies
Security and Machine Learning in Intelligent Infrastructures
Security, and Privacy by design
Security, and Privacy Threats in Intelligent Infrastructures

Important Dates
Submission Deadline May 07, 2021
New deadline May 18, 2021
Author Notification June 03, 2021
Proceedings Version July 13, 2021
All-Digital Conference August 17 – August 20, 2021
Program Chair/ Workshop Chair

Lukas Malina (Chair)
Brno University of Technology, Czech Republic

Raimundas Matulevičius (Chair)
University of Tartu, Estonia

Gautam Srivastava (Chair)
Brandon University, Manitoba, Canada


Mohamed Baza, Sam Houston State University, U.S.A.
Evaldas Bruze, L3CE, Lithuania
Christian Derler, Joanneum Research, Austria
George Drosatos, Athena Research and Innovation Centre, Greece
Petr Dzurenda, Brno University of Technology, Czech Republic
Alireza Esfahani, University of Luxembourg, Luxembourg
Jan Hajny, Brno University of Technology, Czech Republic
Alireza Jolfaei, Macquarie University, Sydney, Australia
Hadis Karimipour, University of Guelph, Canada
Maryline Laurent, Télécom SudParis, Institut Polytechnique de Paris, France
Jerry Lin, Western Norway University of Applied Sciences, Bergen, Norway
Pavel Loutocky, Institute of Law and Technology, Masaryk University, Czech Republic
Zdenek Martinasek, Brno University of Technology, Czech Republic
Nimrod Miké, Corvinus University, Hungary
Jakub Misek, Institute of Law and Technology, Masaryk University, Czech Republic
Aleksandr Ometov, Tampere University, Finland
Sara Ricci, Brno University of Technology, Czech Republic
Branka Stojanovic, Joanneum Research, Austria
Aimilia Tasidou,Telecom SudParis, Institut Polytechnique de Paris, France
Luca Verderame, University of Genova, Italy


The submission guidelines valid for the workshop are the same as for the ARES conference. They can be found at https://www.ares-conference.eu/conference/submission/.


Another Look at Privacy-Preserving Automated Contact Tracing

Dr. Qiang Tang Senior Researcher, Luxembourg Institute of Science and Technology (LIST)

Abstract: In the current COVID-19 pandemic, manual contact tracing has been proven very helpful to reach close contacts of infected users and slow down virus spreading. To improve its scalability, a number of automated contact tracing (ACT) solutions have proposed and some of them have been deployed. Despite the dedicated efforts, security and privacy issues of these solutions are still open and under intensive debate. In this talk, we examine the ACT concept from a broader perspective, by focusing on not only security and privacy issues but also functional issues such as interface, usability and coverage. Considering the inevitable privacy leakages in existing BLE-based ACT solutions, we describe a venue-based ACT concept, which only monitors users’ contacting history in virus-spreading-prone venues and is able to incorporate different location tracking technologies such as BLE and WIFI.

Dr. Qiang Tang is currently a senior research scientist from Luxembourg Institute of Science and Technology (LIST). His research interests lie in applied cryptography, DLT/blockchain-enabled security design, and the privacy issues in machine learning. Dr. Tang received his Ph.D. degree from Royal Holloway, University of London, UK. Qiang is affiliated with ILNAS (Institut Luxembourgeois de la Normalisation, de l’Accrditation, de la S\’ecurit\’e et qualit\’e des produits et services) by serving in the subcommittee ISO/IEC JTC 1/SC 27 (security and privacy) and SC 38 (cloud computing and distributed platforms), SC42 (artificial intelligence), as well as TC307 (Blockchain). He is a member of the DLT/Blockchain working group of the Luxembourg financial regulator Commission de Surveillance du Secteur Financier (CSSF).

Cyber-Secure Building Blocks for Low-power IoT Devices: the RIOT-fp Project

Prof. Emmanuel Baccelli, Prof. Emmanuel Baccelli, Freie Universität Berlin, Germany

Abstract: Humans increasingly depend on the hundreds of billions of microcontrollers, used daily on Earth. The Internet of Things (IoT) aims both to enable and harness en masse the interconnection of low-power devices, based on such microcontrollers. In this context, increased cybersecurity requirements challenge both embedded system software and low-power network stacks embarked on such devices. Taking a global and practical approach and the embedded operating system RIOT as case-study, the RIOT-fp project combines research activities on cybersecurity for low-power IoT, which we will overview in this talk. RIOT-fp tackles topics which include developing high-speed, high-security, low-memory IoT crypto primitives, providing guarantees for critical software execution on microcontroller-based devices, and enabling secure IoT software updates and supply-chain, over low-power networks.

Prof. Emmanuel Baccelli holds a researcher position at Inria, working on decentralized, cooperative concepts for wireless Internet and for low-power Internet of Things (IoT). After working in the Silicon Valley as software engineer, Emmanuel Baccelli joined Hitachi Europe as research engineer, and eventually received his Ph.D. from Ecole Polytechnique, Paris, France in 2006. He received his habilitation from Université Pierre et Marie Curie, Paris, France in 2012. Since 2019, Emmanuel Baccelli is also professor affiliated with Freie Universität Berlin (Einstein Center Digital Future chair). Emmanuel Bac celli’s main research interests include spontaneous wireless networks, mobility, design and analysis of network protocols and algorithms, Internet of Things embedded software.