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Rdtids: Rules And Decision Tree-Based Intrusion Detection System For Internet-Of-Things Networks, Mohammad Amine Ferrag, Leandros Maglaras, Ahmed Ahmim, Makhlouf Derdour, Helge Janicke
Rdtids: Rules And Decision Tree-Based Intrusion Detection System For Internet-Of-Things Networks, Mohammad Amine Ferrag, Leandros Maglaras, Ahmed Ahmim, Makhlouf Derdour, Helge Janicke
Research outputs 2014 to 2021
This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-Things (IoT) networks. The RDTIDS combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP Tree, JRip algorithm and Forest PA. Specifically, the first and second method take as inputs features of the data set, and classify the network traffic as Attack/Benign. The third classifier uses features of the initial data set in addition to the outputs of the first and the second classifier as inputs. The experimental results obtained by analyzing the proposed IDS using the CICIDS2017 dataset and BoT-IoT dataset, attest …
Applying Mobile Augmented Reality (Ar) To Teach Interior Design Students In Layout Plans: Evaluation Of Learning Effectiveness Based On The Arcs Model Of Learning Motivation Theory, Yuh-Shihng Chang, Kuo-Jui Hu, Cheng-Wei Chiang, Artur Lugmayr
Applying Mobile Augmented Reality (Ar) To Teach Interior Design Students In Layout Plans: Evaluation Of Learning Effectiveness Based On The Arcs Model Of Learning Motivation Theory, Yuh-Shihng Chang, Kuo-Jui Hu, Cheng-Wei Chiang, Artur Lugmayr
Research outputs 2014 to 2021
In this paper we present a mobile augmented reality (MAR) application supporting teaching activities in interior design. The application supports students in learning interior layout design, interior design symbols, and the effects of different design layout decisions. Utilizing the latest AR technology, users can place 3D models of virtual objects as e.g., chairs or tables on top of a design layout plan and interact with these on their mobile devices. Students can experience alternative design decision in real-time and increases the special perception of interior designs. Our system fully supports the import of interior deployment layouts and the generation of …