In this paper we present a new method to process sequences of system calls for anomaly intrusion detection. The key idea is to build a multi-layer model of program behaviours based on both hidden Markov models and enumerating methods for anomaly intrusion detection, which differs from the conventional single layer approach. Our experiments on Unix sendmail program have shown that the model is b...

Detecting the anomaly behaviors such as network failure or Internet intentional attack in the large-scale Internet is a vital but challenging task. While numerous techniques have been developed based on Internet traffic in past years, anomaly detection for structured datasets by complex network have just been of focus recently. In this paper, a anomaly detection method for large-scale Internet ...

Purpose: As contended in prior literature, the weekend anomaly is tendency for financial markets or security prices to be lower on Mondays than previous Fridays. The aim of this study was empirically investigate seven international namely; NASDAQ Index, CAC 40 DAX JPX-Nikkei Index 400, SSE BIST and JSE Index. Methodology: This made use F- statistics test most recent 5 years August 22, 2017 2022...

Background Fetal growth restriction is the second leading cause of perinatal morbidity and mortality. The incidence of intrauterine growth restriction (IUGR) is estimated to be approximately 5 percent in the general obstetric population. Abnormal uterine artery suggest a maternal cause for the growth restriction where as normal uterine artery Doppler studies suggest that a fetal cause. Use of u...

The particular process of LCA (Lithosphere-Coversphere-Atmosphere) coupling referring to local tectonic structures and coversphere conditions is very important for understanding seismic anomaly from GEOSS (Global Earth Observation System of Systems). The LCA coupling based multiple-parameters analysis should be the foundation for earthquake prewarning. Three improved criterions: deviation notab...

The Normalized Di erence Vegetation Index (NDVI) is widely accepted as a good indicator for providing vegetation properties and associated changes for large scale geographic regions. Using multivariate time series data analysis methods based on Principal Component transform and Wavelet Decomposition, a sequence of 11-year monthly Advanced Very High Resolution Radiometer (AVHRR)-derived NDVI dat...