Adaptive Marine Predator Optimization Algorithm (AOMA)–Deep Supervised Learning Classification (DSLC)based IDS framework for MANET security

Due to the dynamic nature and node mobility, assuring the security of Mobile Ad-hoc Networks (MANET) is one of the difficult and challenging tasks today. In MANET, the Intrusion Detection System (IDS) is crucial because it aids in the identification and detection of malicious attacks that impair the network’s regular operation. Different machine learning and deep learning methodologies are used for this purpose in the conventional works to ensure increased security of MANET. However, it still has significant flaws, including increased algorithmic complexity, lower system performance, and a higher rate of misclassification. Therefore, the goal of this paper is to create an intelligent IDS framework for significantly enhancing MANET security through the use of deep learning models. Here, the min-max normalization model is applied to preprocess the given cyber-attack datasets for normalizing the attributes or fields, which increases the overall intrusion detection performance of classifier. Then, a novel Adaptive Marine Predator Optimization Algorithm (AOMA) is implemented to choose the optimal features for improving the speed and intrusion detection performance of classifier. Moreover, the Deep Supervise Learning Classification (DSLC) mechanism is utilized to predict and categorize the type of intrusion based on proper learning and training operations. During evaluation, the performance and results of the proposed AOMA-DSLC based IDS methodology is validated and compared using various performance measures and benchmarking datasets

Molecular and Functional Characterization of Metabolites from Terrestrial Streptomyces hygroscopicus AVS7 Isolated from Western Ghats, India

Genus Streptomyces contributes to almost 80% of the world’s antibiotics under actinomycetes group. Pigments produced by this genus also been widely reported to have application in different field. This study was aimed in isolating a bio pigment having antimicrobial, anticancer and quorum quenching properties. To achieve the aim soil samples from the regions of Western Ghats around Coimbatore (TN, India) were collected which holds biological diversity and rich in mineral wealth. The aim was attained through screening of antagonisms for potential strain and the morphological, biochemical, physiological and molecular characterization was investigated sequentially. Further, the biological studies were evaluated. Totally 161 Actinomycetes strains were isolated from the collected samples out of which potent 27 were pigmented Streptomyces sp. The potential strain was screened through antagonism principle and the morphological, biochemical, physiological and molecular characterization revealed that the strain is Streptomyces hygroscopicus AVS7 (KP732441). The crude pigmented secondary metabolites were extracted using polar solvent methanol from the biomass of the strain AVS7. The chemically characterized metabolite was a carboxylic acid derivative compound. The crude methanolic metabolites extract which was reddish brown in color showed maximum zone of inhibition against 6 different pathogenic organisms from antimicrobial assessment. The crude extract showed quenching activity of the quorum sensing molecules produced by Staphylococcus aureus. From this it is evident that the crude secondary metabolites have the potentiality of being an antibiotic. The bioactive crude extract was found to have biological properties at significant range and further bioprospecting activity will be evaluated in future studies

A Preliminary Assessment of Yellow Pigment from Streptomyces parvulus C5-5Y

A yellow pigment producing potent strain Streptomyces parvulus C5-5Y (KJ624998) isolated from leather industry was used in this study. The pigmented metabolite exhibited good spectrum of antagonistic activity against common human clinical pathogens. Hence, this work has been focused to analyze the bioactive compound present in the crude pigment. To achieve this, an initial step has been taken to purify the bioactive compound. The TLC and HPTLC analysis was carried out to analyze the number of compounds present in the crude pigment extract. Through silica gel column chromatography, the bioactive fraction was separated and named as F5. This fraction was efficient in combating the pathogens even at minor concentrations as supported by the MIC assay. The UV-Vis spectral analysis revealed the presence of phenoxazinone chromophores in their structures by their absorption maxima at 443nm. The mass of the compound was found to be 1256m/z and the results from LC-MS/MS data unveiled the possibility of the compound F5 to fall under actinomycin group of antibiotics. A further assessment has to be taken to confirm it through NMR analysis and to analyze the compound to be employed as therapeutics through in vitro and in vivo studies