New intelligent heuristic algorithm to mitigate security vulnerabilities in IPv6

Zero day Cyber-attacks created potential impacts on the way information is held and protected, however one of the vital priorities for governments, agencies and organizations is to secure their network businesses, transactions and communications, simultaneously to avoid security policy and privacy violations under any circumstances. Covert Channel is used to in/ex-filtrate classified data secretly, whereas encryption is used merely to protect communication from being decoded by unauthorized access. In this paper, we propose a new Security Model to mitigate security attacks on legitimate targets misusing IPv6 vulnerabilities. The approach analyses, detects and classifies hidden communication channels through implementing an enhanced feature selection algorithm with a coherent Naive Bayesian Classifier. NBC is one of the most prominent classification algorithm defining the highest probability in data mining area. The proposed framework uses Intelligent Heuristic Algorithm (IHA) to analyse and create a novel primary training data, furthermore a modified Decision Tree C4.5 technique is suggested to classify the richest attribute presenting hidden channels in IPv6 network. The results evaluation showed better detection performance, high accuracy in True Positive Rate (TPR) and a low False Negative Rate (FNR) and a clear attribute ranking

Implementation of hybrid artificial intelligence technique to detect covert channels in new generation network protocol IPv6

Intrusion detection systems offer monolithic way to detect attacks through monitoring, searching for abnormal characteristics and malicious behavior in network communications. Cyber-attack is performed through using covert channel which currently, is one of the most sophisticated challenges facing network security systems. Covert channel is used to ex/infiltrate classified information from legitimate targets, consequently, this manipulation violates network security policy and privacy. The New Generation Internet Protocol version 6 (IPv6) has certain security vulnerabilities and need to be addressed using further advanced techniques. Fuzzy rule is implemented to classify different network attacks as an advanced machine learning technique, meanwhile, Genetic algorithm is considered as an optimization technique to obtain the ideal fuzzy rule. This paper suggests a novel hybrid covert channel detection system implementing two Artificial Intelligence (AI) techniques; Fuzzy Logic and Genetic Algorithm (FLGA) to gain sufficient and optimal detection rule against covert channel. Our approach counters sophisticated network unknown attacks through an advanced analysis of deep packet inspection. Results of our suggested system offer high detection rate of 97.7% and a better performance in comparison to previous tested techniques

Gamma glutamyl transferase and lactate dehydrogenase as biochemical markers of severity of preeclampsia among Sudanese pregnant women

Background: Preeclampsia is a disorder of widespread vascular endothelial malfunction and vasospasm that occurs after 20 weeks' gestation and can present as late as 4-6 weeks post-partum. Pre-eclampsia is a syndrome with multiple aetiologies which has made it difficult to develop adequate screening tests and treatments. Objective of this study to assess the level of gamma glutamyl transferase and lactate dehydrogenase as biochemical markers of severity of preeclampsia in Sudanese pregnant women.Methods: This is a case control hospitalize base study. The study was conducted in preeclamptic pregnant women in Omdurman maternity hospital and medical military hospital in Khartoum state. In this study glutamyl transferase and lactate de-hydrogenase was estimation in 100 Sudanese pregnant women by spectrophotometer method, 50 of them were diagnosed with preeclampsia 27 from this is severe preeclampsia and 23 is mild preeclampsia was matched in aged. Serum samples of all the cases were assayed for GGT and LDH. The data was recorded and analyzed using statistical package for social sciences (SPS –version 16) on programmed computer. The mean standard deviations of variable were calculated for both the test group and the control group and P value for comparison was obtained.Results: The mean values of plasma gamma glutamyl transferase in mild and severe preeclamptic pregnant women were insignificant difference when compared to control P value (0.346 - 0.089) respectively. The mean values of plasma lactate dehydrogenase in mild and severe preeclamptic pregnant women were significant increase when compared to control P value (0.008 - 0.001) respectively.Conclusions: The levels of LDH is raised in Sudanese pregnant women with hypertensive also can be useful biochemical marker that reflects the severity of and the occurrence of complications of pre-eclampsia. GGT levels were normal in Sudanese pregnant women with hypertensive preeclampsia

Assessment of the drug therapy for sexually transmitted diseases in the White .ile State – Sudan

Back ground:Irrational drug prescribing is a global problem. It results in development of resistance to antimicrobials, ineffective treatment, adverse effects and economic burden on patient and society.Objectives: This study was carried out to assess the use of drugs for treatment of sexually transmitted diseases (STDs) and to determine their prevalence in the White Nile State-Sudan 2002-2003.Material and Methods: Twenty urban health centers were selected randomly, 30 prescriptions were collected from each health center and assessed against recommended standard therapy.Results: The appropriate drug therapy according to diagnosis was selected in only 10.6% of the collected prescriptions, only 42.2% of them were with appropriate doses and duration of therapy, poly pharmacy was detected in 28.8%, generic prescribing in 35.5% and possible drug- drug interactions in 17.3% of the total collected sample. The prevalence of STDs among total patients was 1.9%. 78.8% of the cases were females, 59.3% were 15-29 years old and Kenana Health Centers showed the highest prevalence of STDs 3.4%. (P<0.05)Conclusion: The results of the present study revealed that prescribing practices for the treatment of STDs were illogical; the reference chart prepared by federal ministry of health Sudan National HIV/AIDS/STD program must be reevaluated, because it is inappropriate and illogical. Continuous training courses are urgently needed locally and nationally to raise the updating levels of medical

A Genome-wide gene-expression analysis and database in transgenic mice during development of amyloid or tau pathology

We provide microarray data comparing genome-wide differential expression and pathology throughout life in four lines of "amyloid" transgenic mice (mutant human APP, PSEN1, or APP/PSEN1) and "TAU" transgenic mice (mutant human MAPT gene). Microarray data were validated by qPCR and by comparison to human studies, including genome-wide association study (GWAS) hits. Immune gene expression correlated tightly with plaques whereas synaptic genes correlated negatively with neurofibrillary tangles. Network analysis of immune gene modules revealed six hub genes in hippocampus of amyloid mice, four in common with cortex. The hippocampal network in TAU mice was similar except that Trem2 had hub status only in amyloid mice. The cortical network of TAU mice was entirely different with more hub genes and few in common with the other networks, suggesting reasons for specificity of cortical dysfunction in FTDP17. This Resource opens up many areas for investigation. All data are available and searchable at http://www.mouseac.org

The Association between CRP Levels with Comorbidities, Species, and Complications of Severe Malaria

Background: Malaria remains a leading cause of mortality in sub-Saharan Africa (including Sudan). C-reactive protein (CRP) is useful as   a marker of severity in malaria. African studies have shown that serum CRP levels correlate with parasite burden and complications in malaria, especially falciparum. However, there are no data on CRP levels in Sudanese malaria patients. This study aims to evaluate the association between CRP levels with comorbidities, species, and complications of severe malaria Subjects and Methods: A cross-sectional study enrolled 65 severe malaria patients at Khartoum state hospitals during the period from April to June2021. Manifestations of severe malaria were defined according to WHO criteria. Data regarding demographics, presenting symptoms & signs, laboratory investigations, complications, length of hospital stay and outcomes were collected. CRP was classified as elevated when the measured level was >10 mg/l. Results: Among 65 patients, 33(50.8%) were females and 32(49.2%) were males, and mean age was 48±21 years. The main manifestation of severe malaria diagnosis criteria was anemia in 26(40%) patients. Most of the patients had density 1+ (n=53; 81.5%) and were infected by P. falciparum (n=61; 93.8%). The overall case fatality rate for malaria was 8% (n=15 patients). The mean of CRP was 72±57 mg/L and 84% (n=55) of patients had elevated levels above 10 mg/L (ranged from 10-100 mg/L in 52%, and above 100 mg/L in 32%). The elevated CRP levels were significantly DM (P= 0.048), high malaria parasite density in blood film (P= 0.001), P. falciparum (P= 0.33), presence of complications (P= 0.001) and death (P= 0.003) Conclusion: Elevated CRP levels were found in a considerable proportion of severe malaria patients. CRP is an effective biomarker in assessing malaria severity and poor prognosis in term of complications development and mortality

Chemical Analysis and Growth Inhibitory Effect Of Rosemary Plant on Aspergillus niger

The use of natural fungicides instead of synthetic ones covers is a present trend in mycological disease control. The quality and food safeties could be preserved by the addition of natural antifungal agents as essential oils. The aim of the present study was to assess the antifungal activity of certain essential oil against the genus of Aspergillus The oil of the aerial parts of Rosemary plant that collected from Sulaimani city was analyzed by using gas chromatography mass spectrometry. The antifungal activity of Rosemary plant extract against Aspergillus niger was assessed by using agar dilution method. The results showed identification of 17 compounds, with 80.62% of Benzene, 1-methoxy-4- (1-propenyl), 6.85% 1,3,6-Octatriene, 3,7-dimethyl-, (E), 5.16% 1,3,6-Octatriene, 3,7- dimethyl and 2.83% D-Limonene constitute the highest percentage of essential oil. The result of investigation the antifungal effect of Rosemary plant extraction dilutions showed that the essential oil has significant inhibitory effect on growth of Aspergillus niger in 10 %, 12%, 14%, 16%, 18%, 20%, 22%, 24%, 26%, and 28% dilutions with the average inhibitory growth percentage 25.91%, 25.60%, 28.96%, 28.96%, 30.18%, 32.31%, 28.04%, 28.65%, 31.40% and 31.70% respectively. Large percentage antifungal activities of Rosemary oil are related with Benzene, 1-methoxy-4-(1-propenyl) as the main compound. In conclusion, the essential oils exhibited a potential inhibition activity against toxic fungi and many invitro and invivo studies are requested to find more about the antifungal activity of these extracted oils

Influence of mechanical activation on the behavior of green high-strength mortar including ceramic waste

Solid waste management is a significant environmental issue for countries because of the need for huge landfills. The ceramic tile waste powder (CWP) is one of the wastes. Conversely, cement production, the main ingredient in concrete, emits large quantities of greenhouse gases, a significant environmental concern. Therefore, substituting some of the cement in concrete with CWP is an issue that deserves investigation to reduce the environmental impact of both materials. Accordingly, this study aims to investigate the influence of the grinding time and proportion of CWP as a substitute for cement on the properties of high-strength mortar (HSM). Three grinding times (10, 15, and 20 minutes) and three replacement percentages (10%, 20%, and 30% by weight) for CWP were adopted for each time. Ten mixtures (including the reference mixture) were executed. The fresh (flow rate), mechanical (compressive strength) durability (ultrasonic pulse velocity, dynamic elastic modulus, water absorption, density, percentage of voids and electrical resistivity) and microstructural properties were examined. The life cycle assessment (LCA) was also addressed. The results showed that the mechanical activation had a pronounced effect on the durability properties (especially water absorption and percentage of voids) more than on the compressive strength. Generally, a sustainable HSM (with more than 70 MPa of compressive strength) can be produced in which 30% of the cement was replaced with CWP with almost comparable performance to the CWP-free mortar. Furthermore, LCA results showed that mortars containing 30% CWP ground for 15 mins (GT15CWP30) had the lowest GWP per MPa

Rapid Mass Movement of Chloroplasts during Segment Formation of the Calcifying Siphonalean Green Alga, Halimeda macroloba

is abundant on coral reefs and is important in the production of calcium carbonate sediments. The process by which new green segments are formed over-night is revealed here for the first time. indicated that the movement process is dependent on both microtubules and microfilaments.This unusual process involves the mass movement of chloroplasts at a high rate into new segments during the night and rapid calcification on the following day and may be an adaptation to minimise the impact of herbivorous activity