Vida Ahmadi Mehri, Dragos Ilie and Kurt Tutschku

IoT systems are increasingly composed out of flexible, programmable, virtualised, and arbitrarily chained IoT elements and services using portable code. Moreover, they might be sliced, i.e. allowing multiple logical IoT systems (network + application) to run on top of a shared physical network and compute infrastructure. However, implementing and designing particularly security mechanisms for such IoT systems is challenging since a) promising technologies are still maturing, and b) the relationships among the many requirements, technologies and components are difficult to model a-priori.

The aim of the paper is to define design cues for the security architecture and mechanisms of future, virtualised, arbitrarily chained, and eventually sliced IoT systems. Hereby, our focus is laid on the authorisation and authentication of user and host, as well as on code integrity in these virtualised systems. The design cues are derived from the design and implementation of a secure virtual environment for distributed and collaborative AI system engineering using so called AI pipelines. The pipelines apply chained virtual elements and services and facilitate the slicing of the system. The virtual environment is denoted for short as the virtual premise (VP). The use-case of the VP for AI design provides insight into the complex interactions in the architecture, leading us to believe that the VP concept can be generalised to the IoT systems mentioned above. In addition, the use-case permits to derive, implement, and test solutions. This paper describes the flexible architecture of the VP and the design and implementation of access and execution control in virtual and containerised environments.

View More Papers

coucouArray ( [post_type] => ndss-paper [post_status] => publish [posts_per_page] => 4 [orderby] => rand [tax_query] => Array ( [0] => Array ( [taxonomy] => category [field] => id [terms] => Array ( [0] => 38 ) ) ) [post__not_in] => Array ( [0] => 4781 ) )

Poisoning Attacks on Federated Learning-based IoT Intrusion Detection System

Thien Duc Nguyen, Phillip Rieger, Markus Miettinen and Ahmad-Reza Sadeghi (TU Darmstadt, Germany)

Read More

OAuth 2.0 Authorization using Blockchain-based Tokens

Nikos Fotiou, Iakovos Pittaras, Vasilios A. Siris, Spyros Voulgaris and George C. Polyzos (Athens University of Economics and Business, Greece)

Read More

Information Leaks in Sequential Federated Learning

Anastassiya Pustozerova and Rudolf Mayer (SBA Research, Austria)

Read More

Sharing Economy in Future Electricity Markets: Security and Privacy...

Mehdi Montakhabi, Shenja Van Der Graaf (IMEC-SMIT & Vrije Universiteit, Belgium); Akash Madhusudan (COSIC & KU Leuven, Belgium); Aysajan Abidin (KU Leuven, Belgium); Mustafa A. Mustafa (The University of Manchester, UK)

Read More

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)