Experiments with Applying Artificial Immune System in Network Attack Detection

The assurance of security within a network is difficult due to the variations of attacks. This research conducts various experiments to implement an Artificial Immune System based Intrusion Detection System to identify intrusions using the Negative Selection Algorithm. This research explores the implementation of an Artificial Immune System opposed to the industry standard of machine learning. Various experiments were conducted to identify a method to separate data to avoid false-positive results. The use of an Artificial Immune System requires a self and nonself classification to determine if an intrusion is present within the network. The results of an Artificial Immune System based Intrusion Detection System achieved high accuracy when the data records were separated by service. The Negative Selection Algorithm created a range and it provided detectors to determine if an intrusion was present based off of the threshold. The threshold is the number of detectors that must be triggered for the system to identify an intrusion. Many services were unusable as they did contain the requirement of both self and nonself data records, that did not overlap. The results were high accuracies in general for the remaining tested services

\u27Trumpian\u27 Attitudes in Central Europe: Causes for Hungary’s, Germany’s and Poland’s Attitudes Towards Transatlantic Trade

This paper explores the various causes for anti-trade sentiment and its relation to far-right populist politics among Germany, Hungary, and Poland as case studies

Production of C-2/C-3 Oxygenates from Planar Copper Nitride-Derived Mesoporous Copper via Electrochemical Reduction of CO2

Electrochemical reduction of CO2 provides an opportunity to produce fuels and chemicals in a carbon-neutral manner, assuming that CO2 can be captured from the atmosphere. To do so requires efficient, selective, and stable catalysts. In this study, we report a highly mesoporous metallic Cu catalyst prepared by electrochemical reduction of thermally nitrided Cu foil. Under aqueous saturated CO2 reduction conditions, the Cu3N-derived Cu electrocatalyst produces virtually no CH4, very little CO, and exhibits a faradaic efficiency of 68% in C2+ products (C2H4, C2H5OH, and C3H7OH) at a current density of ∼18.5 mA cm-2 and a cathode potential of -1.0 V versus the reversible hydrogen electrode. Under these conditions, the catalyst produces more oxygenated products than hydrocarbons. We show that surface roughness is a good descriptor of catalytic performance. The roughest surface reached 98% CO utilization efficiency for C2+ product formation from CO2 reduction and the ratio of oxygenated to hydrocarbon products correlates with the degree of surface roughness. These effects of surface roughness are attributed to the high population of undercoordinated sites as well as a high pH environment within the mesopores and adjacent to the surface of the catalyst

Remote controlled experiments for teaching over the Internet: A comparison of approaches developed in the PEARL project

The PEARL project has been developing approaches for enabling real-world experiments to be conducted by students working, remotely from the laboratory, over the Internet. This paper describes these approaches and compares and contrasts three specific implementations of them both at the level of the nature of the practical work they support and the technical infrastructures that enables this to be conducted remotely. Initial evaluations by experts and representative student subjects are reported and key lessons for further development work by the project consortium, or others seeking to implement remote experiments, are outlined. Among the lessons learnt is that engineering realities associated with the equipment being used were difficult to accommodate in the generic architecture we initially envisaged. In fact the three implementations described adopted different architecture in their realisation of the PEARL approach. These are commented on in the paper together with notes on their implementation given available technologies

Subclasses of Presburger Arithmetic and the Weak EXP Hierarchy

It is shown that for any fixed $i>0$, the $\Sigma_{i+1}$-fragment of Presburger arithmetic, i.e., its restriction to $i+1$ quantifier alternations beginning with an existential quantifier, is complete for $\mathsf{\Sigma}^{\mathsf{EXP}}_{i}$, the $i$-th level of the weak EXP hierarchy, an analogue to the polynomial-time hierarchy residing between $\mathsf{NEXP}$ and $\mathsf{EXPSPACE}$. This result completes the computational complexity landscape for Presburger arithmetic, a line of research which dates back to the seminal work by Fischer & Rabin in 1974. Moreover, we apply some of the techniques developed in the proof of the lower bound in order to establish bounds on sets of naturals definable in the $\Sigma_1$-fragment of Presburger arithmetic: given a $\Sigma_1$-formula $\Phi(x)$, it is shown that the set of non-negative solutions is an ultimately periodic set whose period is at most doubly-exponential and that this bound is tight.Comment: 10 pages, 2 figure

If I go, I\u27ll probably end up dropping out too : College enrollment choices in a free college context

Objective: In this qualitative study, we explored why students in a free community college environment in Tennessee chose not to enroll in college or dropped out of college shortly after enrolling. Methods: We conducted 27 in-depth interviews with individuals who were eligible for the Tennessee Promise. Perna’s (2006) conceptual model for college access and choice guided our analysis. We analyzed data using a three-tier approach, which included open/emergent coding, followed by a priori/theoretical analysis. Results: We identified 15 emergent themes common among interview participants, which we then categorized into the four constructs of Perna’s model. Conclusions: The Tennessee Promise increases access to and enrollment in postsecondary education for many students. Our study highlights potential gaps policymakers and practitioners can address to continue improving the Tennessee Promise and other student supports. We provide our recommendations for practice, policy, and future research

X-ray Surface Brightness Profiles of Active Galactic Nuclei in the Extended Groth Strip: Implications for AGN Feedback

Using data from the All Wavelength Extended Groth Strip International Survey (AEGIS) we statistically detect the extended X-ray emission in the interstellar medium (ISM)/intra-cluster medium (ICM) in both active and normal galaxies at 0.3 <= z <= 1.3. For both active galactic nuclei (AGN) host galaxy and normal galaxy samples that are matched in restframe color, luminosity, and redshift distribution, we tentatively detect excess X-ray emission at scales of 1--10 arcsec at a few sigma significance in the surface brightness profiles. The exact significance of this detection is sensitive to the true characterization of Chandra's point spread function. The observed excess in the surface brightness profiles is suggestive of lower extended emission in AGN hosts compared to normal galaxies. This is qualitatively similar to theoretical predictions of the X-ray surface brightness profile from AGN feedback models, where feedback from AGN is likely to evacuate the gas from the center of the galaxy/cluster. We propose that AGN that are intrinsically under-luminous in X-rays, but have equivalent bolometric luminosities to our sources will be the ideal sample to study more robustly the effect of AGN feedback on diffuse ISM/ICM gas.Comment: Accepted in PAS

Seasonal and spatial dynamics of enteric viruses in wastewater and in riverine and estuarine receiving waters

Enteric viruses represent a global public health threat and are implicated in numerous foodborne and waterborne disease outbreaks. Nonetheless, relatively little is known of their fate and stability in the environment. In this study we used carefully validated methods to monitor enteric viruses, namely adenovirus (AdV), JC polyomavirus (JCV), noroviruses (NoVs), sapovirus (SaV) and hepatitis A and E viruses (HAV and HEV) from wastewater source to beaches and shellfish beds. Wastewater influent and effluent, surface water, sediment and shellfish samples were collected in the Conwy catchment (North Wales, UK) once a month for one year. High concentrations of AdV and JCV were found in the majority of samples, and no seasonal patterns were observed. No HAV and HEV were detected and no related illnesses were reported in the area during the period of sampling. Noroviruses and SaV were also detected at high concentrations in wastewater and surface water, and their presence correlated with local gastroenteritis outbreaks during the spring and autumn seasons. Noroviruses were also found in estuarine sediment and in shellfish harvested for human consumption. As PCR-based methods were used for quantification, viral infectivity and degradation was estimated using a NoV capsid integrity assay. The assay revealed low-levels of viral decay in wastewater effluent compared to influent, and more significant decay in environmental waters and sediment. Results suggest that AdV and JCV may be suitable markers for the assessment of the spatial distribution of wastewater contamination in the environment; and pathogenic viruses can be directly monitored during and after reported outbreaks to prevent further environment-derived illnesses

The Reliability of Parafoveal Cone Density Measurements

Background Adaptive optics scanning light ophthalmoscopy (AOSLO) enables direct visualisation of the cone mosaic, with metrics such as cone density and cell spacing used to assess the integrity or health of the mosaic. Here we examined the interobserver and inter-instrument reliability of cone density measurements. Methods For the interobserver reliability study, 30 subjects with no vision-limiting pathology were imaged. Three image sequences were acquired at a single parafoveal location and aligned to ensure that the three images were from the same retinal location. Ten observers used a semiautomated algorithm to identify the cones in each image, and this was repeated three times for each image. To assess inter-instrument reliability, 20 subjects were imaged at eight parafoveal locations on one AOSLO, followed by the same set of locations on the second AOSLO. A single observer manually aligned the pairs of images and used the semiautomated algorithm to identify the cones in each image. Results Based on a factorial study design model and a variance components model, the interobserver study\u27s largest contribution to variability was the subject (95.72%) while the observer\u27s contribution was only 1.03%. For the inter-instrument study, an average cone density intraclass correlation coefficient (ICC) of between 0.931 and 0.975 was calculated. Conclusions With the AOSLOs used here, reliable cone density measurements can be obtained between observers and between instruments. Additional work is needed to determine how these results vary with differences in image quality