A Secure Network Detection System against Noisy Unlabeled Data

Today, the Internet along with the corporate network plays a major role in creating and advancing new business avenues. With the ever increasing deployment and usage of gigabit networks, traditional network anomaly detection based intrusion detection systems have not scaled accordingly. Most, if not all, systems deployed assume the availability of complete and clean data for the purpose of intr...

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System Identification Based on Frequency Response Noisy Data

In this paper, a new algorithm for system identification based on frequency response is presented. In this method, given a set of magnitudes and phases of the system transfer function in a set of discrete frequencies, a system of linear equations is derived which has a unique and exact solution for the coefficients of the transfer function provided that the data is noise-free and the degrees of...

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System Identification Based on Frequency Response Noisy Data

In this paper, a new algorithm for system identification based on frequency response is presented. In this method, given a set of magnitudes and phases of the system transfer function in a set of discrete frequencies, a system of linear equations is derived which has a unique and exact solution for the coefficients of the transfer function provided that the data is noise-free and the degrees of...

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A Secure Intrusion Detection System Against Ddos Attack

mod_security (an open source intrusion detection and prevention engine for to the Internet, securing your systems against attackers must be a high priority. An Intrusion Detection System against DDOS for MANETs attacks MANET also contains wireless sensor nodes, these highly secure IDS to detect attacks. 2. knowledge from the packet flow and packet details to detect DDOS attacks.

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Novelty detection: Unlabeled data definitely help

In machine learning, one formulation of the novelty detection problem is to build a detector based on a training sample consisting of only nominal data. The standard (inductive) approach to this problem has been to declare novelties where the nominal density is low, which reduces the problem to density level set estimation. In this talk we consider the setting where an unlabeled and possibly co...

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A Secure Network Detection System against Noisy Unlabeled Data

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