Mapana Journal of Sciences

Distributed Denial of Services attacks on cloud servers: Detection, Analysis and Mitigation

sudesh pahal, Anjana Saroha — Thu, 19 Jan 2023 00:00:00 +0000

Today, most of the IT companies are moving towards Cloud infrastructure and technology due to its flexibility, scalability, and cost-effective features. But security is still the main hinderance to accept cloud computing on large scale. There are many security issues related to cloud implementation and one of the major threats is Distributed Denial of Services (DDoS) attack on cloud servers and applications. DDoS attack is a most prevailing security issue where attacker’s intention is to make all victim’s resources like cloud servers, storage, bandwidth etc. unavailable to general user which results to dissatisfactory outcomes in related business. This paper emphasis on understanding of DDoS attacks, their detection and analysis. The paper also explores the possible mitigation strategies to reduce the impact of DDoS.

Editorial

Manoj Balachandran — Mon, 17 Apr 2023 00:00:00 +0000

Fixed Point Theorem for Fuzzy B-type Contractions in Fuzzy Metric Spaces

Vizender Singh, Bijender Singh, Anil Ahlawat — Sat, 01 Oct 2022 00:00:00 +0000

Recently, in 2021, Bijender et al. proposed the establishment of -contraction. Such sort of contraction is a genuine generalization of the standard contraction in the study of metric fixed point theory. The aim of the present study is the establishment of the novel concept of the fuzzy B-type contraction in the settings of fuzzy metric space and such contractions are also used to establish a few fixed point theorems.

The Study of S - Curvature on a Homogeneous Finsler Space with Randers-Matsumoto Metric

Narasimhamurthy, Surekha Desai, Raghavendra — Tue, 06 Dec 2022 00:00:00 +0000

In this article, we have focused on the study of S-curvature of Randers-Matsumoto metric on a homogeneous Finsler space. We have deduced the condition for an isometry of Finsler homogeneous space with Randers-Matsumoto metric to be an isometry of Riemannian homogeneous space and proved that the group of isometries of Finsler space are closed subgroups of that of Riemannian space. We have examined the existence of invariant vector field. Further, we have derived the formula for S-curvature on the reductive homogeneous space, discussed the condition for isotropic S-curvature and derived the E-curvature of the Randers-Matsumoto metric for the homogenous space by using S-curvature formula.

Topologies Induced by Vertex Set of Graphs

Gnanachandra Paulraj, lalitha — Thu, 19 Jan 2023 00:00:00 +0000

In this paper, subbasis for different topologies on vertex set of a simple graph without isolated vertices is introduced. Some properties of these topologies are investigated. Interior, closure, exterior and boundary of a vertex induced subgraph were defined and some basic properties were studied.

The bubbling Milky Way: An overview of infrared bubbles in our galaxy

ANJALI K A, Arun Roy, Blesson Mathew, Sreeja S. Kartha — Wed, 08 Mar 2023 00:00:00 +0000

Infrared bubbles are cavity-like structures formed around OB-type star(s) or star clusters. They are detected primarily at mid-infrared wavelengths. They usually enclose ionized gas and hot dust, composed of very small grains. A combination of thermal pressure of the expanding HIIregion, powerful stellar winds, and radiation pressure associated with massive stars contribute to the formation of a bubble. Expanding bubbles could trigger star formation, either via the collect and collapse process or radiatively driven implosion. This can further provide a pathway for understanding the aspects related to triggered star formation. This article provides a brief overview on infrared bubbles, their association with the HIIregion,the massive and young stellar objects they enclose, and the mechanisms of triggered star formation when they expand to the interstellar medium. As a representative example, we present a multiwavelength investigation of the northern infrared bubble CN71. The physical environment of the bubble CN71 is investigated using Spitzer data. We have detected 29 Class I/II YSOs and 459 Class III YSOs by NIR-MIR photometric analysis. We have also detected the presence of 5 OB-type stars within the bubble boundary. Using the Gaia EDR3, we estimated the distance to the bubble to be 1.6 kpc. Our preliminary analysis suggests that CN71 shows the signature of triggered star formation.

SURVEY ON FEATURE SELECTION FOR DATA MINING AND ITS APPLICATION IN OPINION MINING

Dr. Sumanth S, SIDDARAMA S — Sat, 14 Jan 2023 00:00:00 +0000

Sentiment Analysis (SA) and opinion mining is used for the systems of business intelligence in analyzing public opinion towards various brands and implementing market strategies. Machine learning aims at developing the algorithm in such a way that the performance of a system is optimized with past data or experience. In the case of SA, the feature selection method is used for the identification of different goals such as reduction of cost of computation, avoidance of over-fitting, and enhancing the accuracy of classification of the model. The methods of feature selection can reduce their original feature sets by the removal of irrelevant features for the classification of text sentiment and their accuracy. The paper surveys various feature selection techniques available in the literature. The study shows that feature selection significantly improves the classification of the sentiments, but it depends on the technique adopted and the number of features selected.

A Study of Stock Market Prediction through Sentiment Analysis

SANDIPAN BISWAS, SHIVNATH GHOSH, SANDIP ROY, RAJESH BOSE, SANJAY SONI — Sat, 18 Feb 2023 00:00:00 +0000

In the modern world, the current state and course of economic development and growth are determined by the fortunes and vagaries of the stock markets. In this research study, the authors provide a model that can aid in making reliable and error-free predictions of stock market trends. The described approach uses sentiment analytics based on financial news and past stock market patterns. The proposed structure has been used to forecast stock market patterns that incorporates sentiment analysis taken from news and previous stock market patterns to provide more precise results. The model shown here has provided a two-step process- the Naive Bayes algorithm and forecasting future values of stocks using evaluation findings on text polarity and historical stock value movement information. A novel idea known as the KNN-LR Hybrid algorithm has been introduced to achieve better outcomes when evaluating the accuracy and efficacy of other machine learning algorithms.

CT-DNA interaction, Fluorescence binding and Microbial activity of Schiff base metal complexes derived from 4-bromobenzaldehyde and 2-amino-6-methylbenzothiazole

Senthamilselvan, Palanimurugan, Sithi Asma, Cyril — Tue, 06 Dec 2022 00:00:00 +0000

Bidentate ligand (L) was synthesized by knoevenagel reaction using 4-bromobenzaldehyde and 2-amino-6-methylbenzothiazole. The ligand has been confirmed from the analytical technique such as UV-Vis, FTIR, NMR, Mass and EPR spectral. The synthesized metal complexes were characterized from the spectra and physico-chemical techniques. These studies showed that the stoichiometric composition of ML2 type complexes. Absorption study implies that the compounds posses the octahedral geometry and their chelates are electrolytic and monomeric in nature. Absorption and gel electrophoreses experiments set up accepted the effective interaction with CT-DNA molecules. It was extended to Fluorescence emission study of binding. The anti bacterial and anti fungi studies were carried out by disc diffusion method. From the MIC values, metal complexes were controlling larger than Schiff base.

Statistical optimization of fermentation media for postbiotic metabolite production from Lactobacillus plantarum LG138 of primate origin

Reena Kumari Reenu, Kiran Bala Sharma, Prem Lata, shailja Rangra, Dr Savitri — Mon, 06 Mar 2023 00:00:00 +0000

The probiotic metabolites called postbiotics synthesized by consist of range of molecules namely organic acids, antimicrobial peptides, short-chain fatty acids, exopolysaccharide (EPS), cofactors, vitamins, immune-modulating compounds, enzymes, neurotransmitters etc. LABs are widely recognized as an efficient EPS producer. Hence, the goal of the current study is to statistically maximize the media components for maximum exopolysaccharide production by Lactobacillus plantarum LG138 from primate feces. The de Man, Rogosa and Sharpe (MRS) medium is used for optimization of production process. Batch culture system is used for optimization of exopolysaccharide production in MRS medium using Lactobacillus plantarum LG138. The optimization process of EPS production improved its yield by 2.7-folds (from 12.00 mg/ml to 32.88 mg/ml).The enhanced EPS yield was achieved after optimization of different media components such as sucrose (5%), ammonium sulfate (1.2%), temperature (32.5⁰C), incubation time (22 h) and pH (6.5) using Response Surface Methodology. The actual experimental value (32.88 mg/ml) was comparable to the predicted maximum EP by Lactobacillus plantarum LG138.S production (32.87mg/ml) under optimal conditions for L. plantarum LG138.The in vitro antioxidant assays (free radical scavenging ability and reducing power) revealed antioxidant properties of EPS. These significant activities recommend the possible potential use of EPS in animal food and feed applications.

Theoretical and Experimental Investigations of antibiotic agents Sulfamethoxazole (SMX) and Trimethoprim (TMP) by Density Functional Theory

Sat, 14 Jan 2023 00:00:00 +0000

In this manuscript, a complete theoretical and experimental investigation of antibiotic agents Sulfamethoxazole (SMX) and Trimethoprim (TMP) was performed using the Density Functional Theory (DFT) with B3LYP, CAM-B3LTP and B3PW91 levels of theory and 6-311++G(d,p) basis set. The geometrical parameters of SMX and TMP are computed and compared with literature data. The global reactivity descriptors are estimated from HOMO - LUMO energies to know the chemical reactivity and stability of titled molecules. The MEP study has been used to identify the better electrophilic sites in titled molecules. Mulliken charge analysis has been carried out at the different levels of theories. The NLO parameters are computed for both molecules to check their suitability for NLO applications. The NBO analysis has been used to disclose the most possible intensive intermolecular interactions. The assignment of vibrational spectra of titled molecules has been carried out using assistance of DFT coupled with the VEDA program.