high data rate detection
INTRUSION DETECTION USING FEATURE SELECTION BY OPTIMIZATION WITH ARTIFICIAL NEURAL NETWORK
... Intrusion Detection Systems that consists of high-level security of networks and thus provides the system dealing with security of network and the intrusion based ...method, data exploration notion ...
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Detection of ground motions using high rate GPS time series
... GPS data, which depends on the distance from the epicenter and the strength of the seismic event, as the displacement is associated mainly with S and surface ...The high GPS noise level relatively to the ...
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Improved Intrusion Detection System using C4.5 Decision Tree and Support Vector Machine
... intrusion detection has become the mainstream of information ...intrusion detection system (IDS). Data mining techniques are a new approach for Intrusion ...good detection rate and less ...
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Data Preprocessing for Reducing False Positive Rate in Intrusion Detection
... Intrusion Detection System will lose its ...positive rate not only wastes valuable resources but makes Intrusion Detection System ...the detection rate while maintaining false positive ...
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Optimization of Linear Precoded OFDM for High Data Rate UWB Systems
... a high range gain of about 15 dB has been in- trinsically obtained without channel coding by the addition of the LP component, the performance of the two systems will be closer when considering the global chain ...
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A NOVEL FILTER BASED PARTITIONING DECISION TREE MODEL FOR REAL TIME NETWORK SECURITY
... intrusion detection systems due to their known high rate of alerts, missing out on many of the great benefits an intrusion detection system can provide in a ...of data mining ...
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A Method for the Detection of Decrease in Power in PV Systems Using Satellite Data
... irradiance data measured by a pyranometer or a reference ...lite-based data allows the acquisition of solar irradiance over large areas, these data have uncertainty due to the limitation of time ...
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Advancements of outlier detection: a survey
... of high-dimensional data space in data streams, a new clustering method, called HPStream, is proposed ...to data streams as significant and high-quality clusters only exist in some ...
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Two Pass Port Scan Detection Technique Based on Connection Pattern and Status on Sampled Data
... scan detection technique called CPST which uses the fundamental con- cepts of connection status and pattern of connections for detecting the scanner or malicious host in the ...DARPA data setting for packet ...
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International Journal of Computer Science and Mobile Computing
... 202 detection has a high detection rate, but the false positive rate is also ...misuse detection detects the attack type by comparing the past attack behavior and the current ...
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2231 0 discex00 paper pdf
... Intrusion detection systems have become an essential component of computer security to detect these attacks before they inflict widespread ...intrusion detection is available in ...intrusion ...
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Retrospective observation on contribution and limitations of screening for breast cancer with mammography in Korea: detection rate of breast cancer and incidence rate of interval cancer of the breast
... claim data were used to detect breast cancer in the Central Cancer Registry, there may have been some differences between the actual incidences of breast cancer in the Central Cancer Registry and the cases ...
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High-Rate Data-Hiding Robust to Linear Filtering for Colored Hosts
... The discrete Fourier transform-rational dither modulation (DFT-RDM) has been proposed as a way to provide robustness to linear-time-invariant (LTI) filtering for quantization-based watermarking systems. This scheme has ...
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High-frequency data and the effectiveness of the spot exchange rate EUR/USD
... The variance ratio test revealed that hourly, 4-hourly and daily changes in the spot exchange rate EUR/USD were independent fulfi lling the conditions of weak market effi ciency. The random walk hypothesis was ...
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Usefulness of Contrast Enhanced T1 Weighted Sampling Perfection with Application Optimized Contrasts by Using Different Flip Angle Evolutions in Detection of Small Brain Metastasis at 3T MR Imaging: Comparison with Magnetization Prepared Rapid Acquisition of Gradient Echo Imaging
... The observers were required to identify the most likely position of the brain metastasis on each image. True-positive lesions were de- cided according to brain metastases criteria by the coordinators. Lo- cating true ...
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Attack Detection over Network based on C45 and RF Algorithms
... value data set where instances are described by collections of attributes and belong to one of a set of mutually exclusive classes, ...given data set and recursively split the data into smaller ...
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RECURSIVE ANTIHUB2 OUTLIER DETECTION IN HIGH DIMENSIONAL DATA
... outlier detection is done in a raw data collected from ...in high dimensional data is more ...anomaly detection in high dimensional data. Anomaly detection in ...
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On Bandwidth Efficient Modulation for High Data Rate Wireless LAN Systems
... and rate should be optimally distributed over fre- quency components of the transmitted signal by an algo- rithm called ...and rate allocations prescribed by ...
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Smart Park: A Method to Save Unwanted Power Wastage Using Machine Learning and Image Processing
... objects detection work which attracts much attention in intelligent automobile applications ...objects detection provides object behavior information of objects and is an intuitive detection method ...
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Comprehensive Rare Variant Analysis via Whole-Genome Sequencing to Determine the Molecular Pathology of Inherited Retinal Disease
... Finally, in two unrelated males with a clinical diagnosis of choroideremia (G001372 and G007713) we identified a deep intronic variant in CHM that has not been previously reported. Both individuals had previously ...
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