Flooding attacks to internet threat monitors (ITM): Modeling and counter measures using botnet and honeypots

The Internet Threat Monitoring (ITM),is a globally scoped Internet monitoring system whose goal is to measure, detect, characterize, and track threats such as distribute denial of service(DDoS) attacks and worms. To block the monitoring system in the internet the attackers are targeted the ITM system. In this paper we address flooding attack against ITM system in which the attacker attempt to exhaust the network and ITM's resources, such as network bandwidth, computing power, or operating system data structures by sending the malicious traffic. We propose an information-theoretic frame work that models the flooding attacks using Botnet on ITM. Based on this model we generalize the flooding attacks and propose an effective attack detection using Honeypots

On the morphology of Bostrychia tenella (Vahl) J. Agardh

Boergesen (1937) reported Bostrychia tenella (Va hI.) J. Ag. from Indian waters. Some details regarding the morphology of the alga are available to some extent by the works of Montagne(1828).Falken\>"rg (1901). Post (1936). Tseng(1942)and Joly (1954) . The detailed structure of the alga and the development of the reproductive structures are not known completely. Advantage was taken of the occurrence of Bostrychia tenella in the Gulf of Mannar at Mandapam to study the morphology of the species both from living specimans and from material fixed in 4% formalin and forma lin -acatic-alcohol. Suitable preparations were stained in eosine and mounted in glycerine for microscopic examination. Sometimes the material had to be softened by placing in 1 % acetic acid or 1 % lithium chloride solution. While thin sections were used frequantly. most datails could be observed on whole mounts and squashes of suitable pieces of the thallus of the alga

Formulation And In Vitro/In Vivo Evaluation Of Olmesartan Medoxomil Solid Dispersions Incorporated E/R Trilayer Matrix Tablets By Geomatrix

An attempt has been made to develop and optimize an novel anti hypertensive trilayered controlled release matrix tablets incorporated with Olmesartan medoxomil solid dispersion prepared by direct compression and consisted of middle active layer with different grades of hydroxypropylmethylcellulose (HPMC), guar gum, ethyl cellulose. Upper and lower layers are prepared with Carnauba wax, guar gum and sodium CMC. The developed drug delivery system provided prolonged drug release rates over a period of 24 h. The release profile of the optimized formulation (HF14) was described by the Zero-order and Higuchi model. In-vivo bioavailability studies were carried out with the optimized formulation (HF14) and reference standard A fair correlation between the dissolution profile and bioavailability for the optimized formulation was observed. The results indicate that the approach used could lead to a successful development of a trilayer extended release formulation up to 24h. These results also demonstrated that the Olmesartan solid dispersion incorporated trilayer tablets shown more bioavailability because of its conversion from crystalline to amorphous form

Metrics of clonidine utilization in maintenance hemodialysis patients

Background: Clonidine is less frequently used by nephrologists. Data on clonidine prescribing trends in hemodialysis patients is sparse. We assessed the clonidine utilization metrics from the case records of patients undergoing maintenance hemodialysis.Methods: In this retrospective chart review, we analysed the clinical records of hemodialysis patients using clonidine. We evaluated the frequency of clonidine use, mean dose of clonidine and percentage of patients receiving a particular dose. Additionally, we also correlated dose of clonidine with anti-hypertensive pill count.Results: A total of 70 hemodialysis patients case records were screened. All 70/70 (100%) of them were hypertensive. Only 25/70 (35.74%) of patients were prescribed clonidine as an anti-hypertensive agent. The mean clonidine dose was 352±171 µg. Majority of patients 9/25 (36%) received 400 µg of clonidine. The dose of clonidine was prescribed in the order 400 µg (36%)>200 µg (32%)>600 µg (16%)>100 µg (8%)>300 µg (4%)=700 µg (4%). There was a statistically significant correlation in the strength of clonidine prescribed with increasing anti-hypertensive drugs (p<0.05).Conclusions: In our study, we observed that 80% of our hemodialysis patients were non responders to either systolic blood pressure or diastolic blood pressure or both. Oral clonidine use was observed in 35.74% of our hemodialysis patients. There was a linear trend showing an increased dose of clonidine with an increase in the anti-hypertensive pill count

Relation between reversal dominance time and carrying capacities in multiplex ecological ammensalism - A numerical study

The paper aims to investigate a mathematical model of multiplex Ecological Ammensalism with the help of classical RK-method of fourth order in view of reversal dominance time. The mathematical model constitutes of Ammensal-enemy species pair with cover protection for Ammensal species, alternative resources for enemy species and both the species are immigrated. In addition to this, harvesting variable rates are also incorporated. The model is characterized by a couple of first order non linear ordinary differential equations. The relation between the carrying capacity of Ammensal /enemy species with the reversal dominance time is investigated numerically. Some conclusions are derived from the relationships.&nbsp; AMS Classification: 92 D 25, 92 D 4

Assessment of Morus alba (Mulberry) leaves extract for anti-convulsant property in rats

Background: The mulberry tree, a plant of the family Moraceae and the genus Morus, has been widely cultivated to feed silkworms. Various parts of Morus alba linn used as an Anti-inflammatory, hypoglycemic, cardioprotective, hepatoprotective, free radical scavenging activity and neuroprotective agent. The plant contains flavonoids, moranoline, albanol, morusin coumarine, and stilbene, which have. In this study, anticonvulsant property of Morus alba leaves extract (MAE) was evaluated by using MES and PTZ induced convulsion in rats.Methods: Effects of MAE were evaluated in experimental models of electro convulsions, maximal electro shock (MES) and chemoconvulsion induced by pentylenetetrazole (PTZ) in rats (n=6), which were treated intraperitonially with doses of 100, 200 and 400mg/kg.Results: The duration of tonic hind limb extension (seconds) with MAE in MES induced convulsions at dose of 100, 200, 400 mg/kg is 8.33±1.21, 6.83±1.16 & 3.16±0.98 respectively. In the dose of 400 mg/kg of MAE showed highly significant results by reducing the duration of tonic hind limb extension in MES induced convulsions. And onset of jerky movements (seconds) with MAE in PTZ induced convulsions at dose of 100, 200, 400mg/kg is 157.83±8.99, 195.66±17.02 and 295.50±21.10 respectively. In the dose of 400mg/kg of MAE showed highly significant results by delaying the onset of convulsions.Conclusions: Results indicate that the MAE have anticonvulsant effects in MES induced convulsions and in PTZ induced convulsions

A -Comprehensive Review of Integrating Medicinal Plant Constituents into Neurological Disorder Therapeutics

Neurological diseases are disorders of the nervous system that gradually destroy the structure and function of the central or peripheral nervous system, affecting various parts of the brain. It affects a great number of individuals globally and is one of the main causes of death. Many disorders, particularly neurological diseases that have resisted conventional medical treatment have been treated with plant-based medications. Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most common neurological disorders (NDDs) and have a significant socioeconomic impact. Over many ages, people have looked to natural herbal remedies for a solution for non-divertic disorders. Numerous therapeutic plants and their secondary metabolites have been shown to be able to reduce the symptoms of NDDs. The main mechanisms that have been found to underpin phytochemicals' neuroprotective effects and potential to maintain neurological health as we age include inhibition of acetylcholinesterase and monoamine oxidase, antioxidant, anti-inflammatory, antithrombotic, and antiapoptotic properties, as well as neurotrophic activities. This article examines the molecular targets of some of the main herbal products that have the potential to cure non-communicable diseases (NDDs). Numerous investigations proved that plant extracts or their bioactive components were effective against non-disease-causing bacteria. Millions of individuals worldwide suffer from age-related NDDs, and herbal products may provide new avenues for therapy

Labelled Classifier with Weighted Drift Trigger Model using Machine Learning for Streaming Data Analysis

The term “data-drift” refers to a difference between the data used to test and validate a model and the data used to deploy it in production. It is possible for data to drift for a variety of reasons. The track of time is an important consideration. Data mining procedures such as classification, clustering, and data stream mining are critical to information extraction and knowledge discovery because of the possibility for significant data type and dimensionality changes over time. The amount of research on mining and analyzing real-time streaming data has risen dramatically in the recent decade. As the name suggests, it’s a stream of data that originates from a number of sources. Analyzing information assets has taken on increased significance in the quest for real-time analytics fulfilment. Traditional mining methods are no longer effective since data is acting in a different way. Aside from storage and temporal constraints, data streams provide additional challenges because just a single pass of the data is required. The dynamic nature of data streams makes it difficult to run any mining method, such as classification, clustering, or indexing, in a single iteration of data. This research identifies concept drift in streaming data classification. For data classification techniques, a Labelled Classifier with Weighted Drift Trigger Model (LCWDTM) is proposed that provides categorization and the capacity to tackle concept drift difficulties. The proposed classifier efficiency is contrasted with the existing classifiers and the results represent that the proposed model in data drift detection is accurate and efficient

Meglumine Sulphate: an Efficient Catalyst for the Synthesis of bis(indolyl)methanes

The reaction of indoles with carbonyl compounds in the presence of 5mol% Meglumine Sulphate (MS) in acetonitrile was executed to synthesize bis(indolyl)methane derivatives using conventional and ultrasonication methods. The reaction proceeded in shorter reaction time in ultrasonication methodology leading to high yield of the products. © 2020 Author(s)