Searched for: author%3A%22Antikainen%2C+Markku%22
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document
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
document
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