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公开(公告)号:WO2022146362A1
公开(公告)日:2022-07-07
申请号:PCT/TR2021/051504
申请日:2021-12-24
发明人: ARSLAN, Hüseyin , AYGÜL, Mehmet Ali
摘要: The invention relates to a method (100) that enables the following steps to be performed in any order to ensure that at least one attack to be made to any at least one OSI layer and/or to any at least one sub-layer of said OSI layer in communication systems can be predicted/detected and thus precautions are taken in advance; - Creating the training dataset by determining the machine inputs (G) and machine outputs (Ç) in the first step - Making the training datasets understandable by the machine (computer) in the second step - Designing machine learning in the third step - Creating the validation dataset in the fourth step - Training the machine (or trained machine) in the fifth step - Obtaining test data (or sets) in the sixth step - In the seventh step, estimating (or testing) the machine outputs (Ç) using the machine trained in the fifth step and the test input set obtained in the sixth step.
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公开(公告)号:WO2021133312A1
公开(公告)日:2021-07-01
申请号:PCT/TR2020/051212
申请日:2020-12-02
IPC分类号: H04B17/382 , G06K9/62
摘要: The method of the invention is related to utilizing the convergence patterns of sparse coding for detecting a primary user emulation / signal jamming attack in a cognitive radio setting. The method basically comprises a training stage and a testing stage. Through the method, the hypothesis which shows that there is no primary user but only noise (H0), the hypothesis which shows that there is a legitimate primary user present with a right to use the spectrum and the secondary user should not use the spectrum (H1), and the hypothesis which shows that there is a primary user emulator / signal jammer in the environment (H2 ) can be distinguished.
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公开(公告)号:WO2022146369A1
公开(公告)日:2022-07-07
申请号:PCT/TR2021/051515
申请日:2021-12-26
发明人: ARSLAN, Hüseyin , AYGÜL, Mehmet Ali
摘要: The invention relates to the method of estimating the number of channel taps and channel coefficients in a concatenated way in order for the signal transmitted to be received successfully in the receiver in wireless communication systems. In particular, the invention proposes a model that learns the number of channel taps and channel coefficients in a concatenated way in order to benefit from the existing correlation between the number of channel taps and channel coefficients. This model is based on a deep learning-based algorithm.
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