TERJEMAHAN CERITA ANAK KITSUNE KARYA NIIMI NANKICHI by , LINTANG CAHYA AYUNINGWIDYA, , Santi Andayani, S.S.

“…This graduating paper titled â��Translation of Kitsune Childrenâ��s Storyâ�� by Niimi Nankichi. The writer chooses this title because of the interesting story, containing myth, Japanâ��s culture, and good moral values. …”

Implementation of CNN-MLP and CNN-LSTM for MitM Attack Detection System by Hartina Hiromi Satyanegara, Kalamullah Ramli

Subjects: “…mitm, kitsune network attack dataset, cnn-mlp, cnn-lstm…”
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Assessing the Capacity and Coverage of Satellite IoT for Developing Countries Using a CubeSat by Pooja Lepcha, Tharindu Dayarathna Malmadayalage, Necmi Cihan Örger, Mark Angelo Purio, Fatima Duran, Makiko Kishimoto, Hoda Awny El-Megharbel, Mengu Cho

“…This paper describes the overall mission architecture and the implementation of remote IoT using a 1U volume in 6U CubeSat platform named KITSUNE. In KITSUNE, one of the missions is to leverage IoT for building a network of remote ground sensor terminals (GST) in 11 mostly developing countries. …”
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Network intrusion detection system using an optimized machine learning algorithm by Abdulatif Alabdulatif, Sajjad Hussain Rizvi

“…In the recent literature, Kitsune, NIDS, and its dataset have received approx. 500 citations so far in 2019. …”
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Earth Observation Mission of a 6U CubeSat with a 5-Meter Resolution for Wildfire Image Classification Using Convolution Neural Network Approach by Muhammad Hasif bin Azami, Necmi Cihan Orger, Victor Hugo Schulz, Takashi Oshiro, Mengu Cho

“…The KITSUNE satellite is a 6-unit CubeSat platform with the main mission of 5-m-class Earth observation in low Earth orbit (LEO), and the payload is developed with a 31.4 MP commercial off-the-shelf sensor, customized optics, and a camera controller board. …”
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Attack-Aware IoT Network Traffic Routing Leveraging Ensemble Learning by Qasem Abu Al-Haija, Ahmad Al-Badawi

“…To evaluate the developed NIDSs, we use the distilled-Kitsune-2018 and NSL-KDD datasets, both consisting of a contemporary real-world IoT network traffic subjected to different network attacks. …”
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Adversarial attacks against network intrusion detection in IoT systems by Qiu, Han, Dong, Tian, Zhang, Tianwei, Lu, Jialiang, Memmi, Gerard, Qiu, Meikang

“…With these tehniques, we successfully compromise one state-of-the-art NIDS, Kitsune: the adversary only needs to modify less than 0.005% of bytes in the malicious packets to achieve an average 94.31% attack success rate.…”
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Methodology for the Detection of Contaminated Training Datasets for Machine Learning-Based Network Intrusion-Detection Systems by Joaquín Gaspar Medina-Arco, Roberto Magán-Carrión, Rafael Alejandro Rodríguez-Gómez, Pedro García-Teodoro

“…Experiments conducted on the contaminated UGR’16 dataset in conjunction with the state-of-the-art NIDS, Kitsune, conclude with the feasibility of the approach to reveal observations of hidden botnet-based attacks on this dataset.…”
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Detecting IoT Anomalies Using Fuzzy Subspace Clustering Algorithms by Mohamed Shenify, Fokrul Alom Mazarbhuiya, A. S. Wungreiphi

“…Furthermore, nano topological and common Mahalanobis distance-based fuzzy <i>c</i>-means algorithm (NT-CM-FCM) is the best among all traditional or nano topology-based algorithms, as it has accuracy rates of 84.02% and 83.21%, detection rates of 80.54% and 75.37%, and false alarm rates of 7.89% and 9.09% with the KDDCup’99 dataset and Kitsune Network Attack Dataset, respectively.…”
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SARS-CoV2 Mutation Detection Experience Using PowerChek SARS-CoV-2 S-gene Mutation Detection Kit by Sun-Mi Cho, Yeon Hee Choi, Seong Geun Hong, Myung Seo Kang

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