Searched for: author%3A%22Tarkoma%2C+Sasu%22
(1 - 7 of 7)
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Zhou, Pengyuan (author), Lee, Lik Hang (author), Liu, Zhi (author), Qiu, Hang (author), Braud, Tristan (author), Ding, Aaron Yi (author), Tarkoma, Sasu (author), Hui, Pan (author)
The metaverse aims to blur the boundary between the physical world and digital content. To achieve this goal, the metaverse relies heavily on extended reality (XR), the Internet of Things, and communication technologies. Concurrently, connected vehicles and intelligent transportation systems (ITSs) are envisioned as the future paradigm of...
review 2023
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Ding, Aaron Yi (author), Peltonen, Ella (author), Meuser, Tobias (author), Aral, Atakan (author), Becker, Christian (author), Dustdar, Schahram (author), Hiessl, Thomas (author), Kranzlmüller, Dieter (author), Liyanage, Madhusanka (author), Maghsudi, Setareh (author), Mohan, Nitinder (author), Ott, Jörg (author), Rellermeyer, Jan S. (author), Schulte, Stefan (author), Schulzrinne, Henning (author), Solmaz, Gürkan (author), Tarkoma, Sasu (author), Varghese, Blesson (author), Wolf, Lars (author)
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation,...
journal article 2022
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Tonetto, Leonardo (author), Lagerspetz, Eemil (author), Ding, Aaron Yi (author), Ott, Jörg (author), Tarkoma, Sasu (author), Nurmi, Petteri (author)
Mobility is a fundamental characteristic of human society that shapes various aspects of our everyday interactions. This pervasiveness of mobility makes it paramount to understand factors that govern human movement and how it varies across individuals. Currently, factors governing variations in personal mobility are understudied with existing...
journal article 2021
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Li, Yuhong (author), Su, Xiang (author), Ding, Aaron Yi (author), Lindgren, Anders (author), Liu, Xiaoli (author), Prehofer, Christian (author), Riekki, Jukka (author), Rahmani, Rahim (author), Tarkoma, Sasu (author), Hui, Pan (author)
The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as...
review 2020
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Hafeez, Ibbad (author), Antikainen, Markku (author), Ding, Aaron Yi (author), Tarkoma, Sasu (author)
IoT devices are notoriously vulnerable even to trivial attacks and can be easily compromised. In addition, resource constraints and heterogeneity of IoT devices make it impractical to secure IoT installations using traditional endpoint and network security solutions. To address this problem, we present IoT-Keeper, a lightweight system which...
journal article 2020
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Haus, Michael (author), Ding, Aaron Yi (author), Wang, Qing (author), Toivonen, Juhani (author), Tonetto, Leonardo (author), Tarkoma, Sasu (author), Ott, Jorg (author)
The number of deployed Internet of Things (IoT) devices is steadily increasing to manage and interact with community assets of smart cities, such as transportation systems and power plants. This may lead to degraded network performance due to the growing amount of network traffic and connections generated by various IoT devices. To tackle...
conference paper 2019
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Hafeez, Ibbad (author), Ding, Aaron Yi (author), Antikainen, Markku (author), Tarkoma, Sasu (author)
The growing popularity of Internet-of-Things (IoT) has created the need for network-based traffic anomaly detection systems that could identify misbehaving devices. In this work, we propose a lightweight technique, IoTguard, for identifying malicious traffic flows. IoTguard uses semi-supervised learning to distinguish between malicious and...
conference paper 2018
Searched for: author%3A%22Tarkoma%2C+Sasu%22
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