Intrusion Detection System using Bayesian Network Modeling

Computer Network Security has become a critical and important issue due to ever increasing cyber-crimes. Cybercrimes are spanning from simple piracy crimes to information theft in international terrorism. Defence security agencies and other militarily related organizations are highly concerned about the confidentiality and access control of the stored data. Therefore, it is really important to investigate on Intrusion Detection System (IDS) to detect and prevent cybercrimes to protect these systems. This research proposes a novel distributed IDS to detect and prevent attacks such as denial service, probes, user to root and remote to user attacks. In this work, we propose an IDS based on Bayesian network classification modelling technique. Bayesian networks are popular for adaptive learning, modelling diversity network traffic data for meaningful classification details. The proposed model has an anomaly based IDS with an adaptive learning process. Therefore, Bayesian networks have been applied to build a robust and accurate IDS. The proposed IDS has been evaluated against the KDD DAPRA dataset which was designed for network IDS evaluation. The research methodology consists of four different Bayesian networks as classification models, where each of these classifier models are interconnected and communicated to predict on incoming network traffic data. Each designed Bayesian network model is capable of detecting a major category of attack such as denial of service (DoS). However, all four Bayesian networks work together to pass the information of the classification model to calibrate the IDS system. The proposed IDS shows the ability of detecting novel attacks by continuing learning with different datasets. The testing dataset constructed by sampling the original KDD dataset to contain balance number of attacks and normal connections. The experiments show that the proposed system is effective in detecting attacks in the test dataset and is highly accurate in detecting all major attacks recorded in DARPA dataset. The proposed IDS consists with a promising approach for anomaly based intrusion detection in distributed systems. Furthermore, the practical implementation of the proposed IDS system can be utilized to train and detect attacks in live network traffi

Generalized spiked harmonic oscillator

A variational and perturbative treatment is provided for a family of generalized spiked harmonic oscillator Hamiltonians H = -(d/dx)^2 + B x^2 + A/x^2 + lambda/x^alpha, where B > 0, A >= 0, and alpha and lambda denote two real positive parameters. The method makes use of the function space spanned by the solutions |n> of Schroedinger's equation for the potential V(x)= B x^2 + A/x^2. Compact closed-form expressions are obtained for the matrix elements , and a first-order perturbation series is derived for the wave function. The results are given in terms of generalized hypergeometric functions. It is proved that the series for the wave function is absolutely convergent for alpha <= 2.Comment: 14 page

Matrix elements for a generalized spiked harmonic oscillator

Closed-form expressions for the singular-potential integrals are obtained with respect to the Gol'dman and Krivchenkov eigenfunctions for the singular potential V(x) = B x^2 + A/x^2, B > 0, A >= 0. These formulas are generalizations of those found earlier by use of the odd solutions of the Schroedinger equation with the harmonic oscillator potential [Aguilera-Navarro et al, J. Math. Phys. 31, 99 (1990)].Comment: 12 pages in plain tex with 1 ps figur

Do routinely measured risk factors for obesity explain the sex gap in its prevalence? Observations from Saudi Arabia.

BACKGROUND: The prevalence of adult obesity is higher in women than men in most countries. However, the pathways that link female sex with excess obesity are still not fully understood. We examine whether socioeconomic and behavioural factors may mediate the association between sex and obesity in the Saudi Arabian setting where there is female excess in obesity. METHODS: We performed a mediation analysis using a cross-sectional, national household survey from Saudi Arabia with 4758 participants (51% female). A series of multivariable regression models were fitted to test if socioeconomic position, physical activity, sedentary behaviour, diet, and smoking mediate the association between sex and obesity (BMI >=30). The findings were confirmed using causal mediation analysis. RESULTS: Women in this sample were roughly twice as likely as men to be obese (crude OR 1.9; 95% CI 1.6-2.3). The odds ratio remained significantly higher for women compared to men in models testing for mediation (OR range 1.95-2.06). Our data suggest that indicators of socio-economic position, physical activity, sedentary behaviour, diet, and smoking do not mediate the sex differences in obesity. CONCLUSIONS: Our analysis shows that most commonly measured risk factors for obesity do not explain the sex differences in its prevalence in the Saudi context. Further research is needed to understand what might explain the female excess in obesity prevalence. We discuss how data related to the lived experience of Saudi men and women may tap into underlying mechanisms by which the sex difference in obesity prevalence are produced

Controlling the quantum computational speed

The speed of quantum computation is investigated through the time evolution of the speed of the orthogonality. The external field components for classical treatment beside the detuning and the coupling parameters for quantum treatment play important roles on the computational speed. It has been shown that the number of photons has no significant effect on the speed of computation. However, it is very sensitive to the variation in both detuning and the interaction coupling parameters.Comment: 9 pages, 10 figure

Assessment of Workers Exposure to Ammonia In Animal Facilities at Walter C. Todd Agricultural Research Center, Nacogdoches, Texas

Poultry, swine, and equine animal facilities are all considered as Concentrated Animal Feeding Operations (CAFOs). All these CAFOs are emission sources of gases and other pollutants which have negative impacts on the environment, human health, and animal health as well. One of those gases is Ammonia (NH3), which is a colorless, highly irritating gas with a pungent, suffocating odor, and if inhaled in high concentrations, it may cause harm to the human body and the function of lungs. Personal exposure to ammonia was assessed for six workers in the three animal facilities: poultry, swine, and equine. Two workers from each facility wore passive badges (Model 584, Assay Technologies, OH) once per day over the sampling days. Eleven microenvironments frequented by the workers (stalls, barns, swine facility’s rooms, broiler houses) were also monitored daily using color dosimeter tubes (Model 810-3DL, Gastec Corp., Japan). The concentrations in the microenvironments were read directly from the dosimeter tubes. An activity log was used to document the workers’ activities and locations during their shifts. A Repeated Measures ANOVA statistical analysis was used to test for the differences among the personal-exposure concentrations

Oral rehydration salts therapy use among children under five years of age with diarrhea in Ethiopia

Background: Oral rehydration salts (ORS) therapy for diarrheal diseases is considered an effective therapy that can be applied in many resource-poor settings. Nevertheless, it has been consistently underutilized, and as a result, its potential to reduce child mortality has not been fully exploited. In Ethiopia, the use of ORS therapy for children under five has been inadequate. Like any other health behavior, the provision of ORS therapy to children during diarrheal episodes by caregivers is complex and context dependent. Identifying the factors may help promote wider application.Design and methods: We used data from the 2016 Ethiopia Demographic and Health Survey (EDHS-2016). Samples were selected by a two-stage stratified cluster sampling method. We used data on children under five years of age whose mothers (aged 15-49 years) reported that the child had had diarrhea within two weeks before the survey was conducted (n=1221). The dependent variable was whether these children received ORS therapy. The contextual independent factors were socio-demographic variables (mothers’ age, child’s age, child’s sex, child’s place of residence, household wealth, and mother/ husband/partner’s education levels and work status), as well as media exposure and healthcare utilization.Results: The prevalence of ORS therapy use among the children was 30%. Mothers who had made at least four prenatal visits during their last pregnancy were 87% more likely to use ORS therapy for their children than those who had fewer prenatal visits (OR=1.874; CI: 1.140-3.082; p=0.013).Conclusions: Integrating efforts for scaling-up ORS use with prenatal health care services may have an extra benefit of promoting children’s wellbeing and survival