SEAMS 2025
Mon 28 - Tue 29 April 2025 Ottawa, Ontario, Canada
co-located with ICSE 2025

This program is tentative and subject to change.

Tue 29 Apr 2025 14:25 - 14:50 at 204 - Session 7: Applications

Today’s smart spaces deploy various IoT devices to offer services for occupants. Such devices are exposed to security risks that may pose serious threats to network services and users’ privacy. To avoid the disruption of normal operations, self-protecting solutions have been developed to allow IoT networks to autonomously respond to cyber threats in real-time. However, existing self-protecting systems focus solely on architectural adaptations to respond to cyber threats, overlooking the mitigation actions described in cybersecurity standards –which represent the correct cybersecurity posture– as well as the impact of the adaptation strategies on the Quality-of-Service (QoS) performance. To overcome these existing limitations, this paper presents SPARQ, a novel framework for designing self-protecting IoT systems that considers both the security exposure to cyber attacks and the QoS performance. We leverage Attack Graph as a threat model for analyzing the cyber exposure of the system and Queuing Network Models to analyze QoS in IoT systems. Based on the analysis outcomes, SPARQ provides mitigation plans to reduce the cyber risk while also minimizing the impact on QoS. We evaluate the proposed approach on two use cases from real-world scenarios including a critical infrastructure and a smart home. The experimental evaluation shows that SPARQ is capable of reducing the cyber risk significantly while also improving the QoS performance by 35% compared to existing approaches.

This program is tentative and subject to change.

Tue 29 Apr

Displayed time zone: Eastern Time (US & Canada) change

14:00 - 15:30
Session 7: ApplicationsResearch Track / Artifact Track at 204
14:00
25m
Talk
FLEXICO: Sustainable Machine Translation via Self-AdaptationFULL
Research Track
Maria Casimiro Instituto Superior Técnico, Universidade de Lisboa & S3D, Carnegie Mellon University, Paolo Romano IST/INESC-ID, José Sousa Unbabel, Amin M Khan INESC-ID. Universidade de Lisboa, David Garlan Carnegie Mellon University
14:25
25m
Talk
SPARQ: A QoS-aware Framework for Mitigating Cyber Risk in Self-Protecting IoT SystemsFULL
Research Track
Alessandro Palma Università di Roma Sapienza, Houssam Hajj Hassan SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, Georgios Bouloukakis Télécom SudParis, Institut Polytechnique de Paris
14:50
15m
Talk
Adapting Aggregation Rule for Robust Federated Learning under Dynamic AttacksSHORT
Research Track
Chenyu Hu Southwest University, Mingyue Zhang Southwest University, NIANYU LI ZGC Lab, China, Jialong Li Waseda University, Japan, Zheng Yang Southwest University, Muneeb Ul Hassan Deakin University, Kenji Tei Institute of Science Tokyo
15:05
15m
Talk
Adaptive and Interoperable Federated Data Spaces: An Implementation ExperienceARTIFACT
Artifact Track
Nikolaos Papadakis , Niemat Khoder Télécom SudParis, Institut Polytechnique de Paris, France, Daphne Tuncer Ecole nationale des ponts et chaussees, Institut Polytechnique de Paris, France, Kostas Magoutis University of Crete and FORTH-ICS, Georgios Bouloukakis Télécom SudParis, Institut Polytechnique de Paris
15:20
10m
Other
Discussion Session 7
Research Track

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