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Geetha D.D.,Bangalore University | Nalini N.,Shridevi Institute of Engineering and Technology | Biradar R.C.,Bangalore University
AI Communications | Year: 2015

Wireless Sensor Networks (WSNs) have been extensively used in various applications such as environmental monitoring, industrial monitoring, agriculture, green house monitoring, structural monitoring, passive localization, tracking and battlefield surveillance. Sensor nodes in these applications are required to sense and process the physical conditions like temperature, pressure, humidity, rainfall, fog, etc. and route the data to a predefined base station or a sink node. In most of these applications, sensor nodes are deployed in public domain and they are prone to be attacked by many types of attacks where in the data confidentiality, integrity and authentication are compromised. Some times, it is difficult to correctly locate the compromised data unless we use autonomous third party that uses intelligent software techniques to safeguard our data and correctly means route it to destined party. In this paper, we propose a Trust based Neighbor Identification in Wireless Sensor Networks (TNIWSN) using agents to identify trustworthy nodes in a network. The trusted neighbor identification is necessary for routing the data through trustworthy neighbors and avoid untrusted neighbors that are compromised by various threats. The proposed scheme operates in following phases. (1) Defining safeguard agency that consists of one static agent known as Safeguard Manager Agent (SMA) and one mobile agent known as Trusted Neighbor Agent (TNA) and a knowledge base. (2) Safeguard agency identifies trustworthy neighbor nodes using static and mobile agents by means of trust model that comprise of the probability model and Message Authentication Code (MAC) model. The probability model identifies trusted neighbors based upon the probabilities of trustworthiness of wireless channel and the trustworthiness of sensor node.MAC model encrypts the message using the two keys k1 and k2 are generated with k-ERF (Error Resilient Function) key generation process to ensure the trustworthiness of neighbors identified by the probability model. (3) MACs are dynamically computed by agents (either on sender node or on neighbor node) by generating keys with the help of k-ERF. (4) Agents effectively identify possible security threats on wireless channel and node. Simulation analysis shows that TNIWSN outperforms Neighbor based Malicious Node Detection (NMND) in Wireless Sensor Networks in terms of average success ratio and memory overhead. © 2015 IOS Press and the authors. Source


Santoyo G.,Universidad Michoacana de San Nicolas de Hidalgo | del Orozco-Mosqueda M.C.,Universidad Michoacana de San Nicolas de Hidalgo | Govindappa M.,Shridevi Institute of Engineering and Technology
Biocontrol Science and Technology | Year: 2012

Plant pathogens are responsible for many crop plant diseases, resulting in economic losses. The use of bacterial agents is an excellent option to fight against plant pathogens and an excellent alternative to the use of chemicals, which are offensive to the environment and to human health. Two of the most common biocontrol agents are members of the Bacillus and Pseudomonas genera. Both bacterial genera have important traits such as plant growth-promoting (PGP) properties. This review analyzes pioneering and recent works and the mechanisms used by Bacillus and Pseudomonas in their behaviour as biocontrol and PGP agents, discussing their mode of action by comparing the two genera. Undoubtedly, future integrated research strategies for biocontrol and PGP will require the help of known and novel species of both genera. © 2012 Copyright Taylor and Francis Group, LLC. Source


Rashmi B.S.,Rashtreeya Vidyalaya College of Engineering | Liny P.,Shridevi Institute of Engineering and Technology
International Journal of Pharma and Bio Sciences | Year: 2013

Different fungal species, Aspergillus niger, Aspergillus flavus and Pencillium notatum selected for the production of extracellular fibrinolytic enzymes, Production rate was enhanced by using different carbon source where maltose increased the production rate of enzymes 2.4mg/ml in Aspergillus niger, 2.2mg/ml Aspergillus flavus and glucose 2.2mg/ml in Pencillium notatum. Enzyme was fractionated using ammonium sulfate fractionation, different characteristic studies like protease activity showed 1.4units/mg of proteins in Aspergillus niger, 1.0 units/mg of proteins in Aspergillus flavus, 1.3units/mg of proteins in Penicillium notatum. Fibrinplate method showed 200 μg/ml, 600 μg/ml, 240 μg/ml in Aspergillus niger, Aspergillus flavus, Penicillium notatum respectively and anticoagulation clotting time assay showed 25, 20, 15 min delay in clotting activity in Aspergillus niger, Penicillium notatum, Aspergillus flavus respectively. The Protein bands found on SDS-PAGE for fibrinolytic enzymes from different fungal sp were approximately 14kD from Penicillium notatum, 27kD from Aspergillus niger, 26kD from Aspergillus flavus. The current research showed fibrinolytic enzyme enhancement in maltose and glucose and its characterization specified that be a novel method for yield enhancement. Source


Krishnamurthy N.B.,Shridevi Institute of Engineering and Technology | Nagaraj B.,Shridevi Institute of Engineering and Technology | Malakar B.,Shridevi Institute of Engineering and Technology | Liny P.,Shridevi Institute of Engineering and Technology | Dinesh R.,International Advanced Research Center for Powder Metallurgy And New Materials
International Journal of Pharma and Bio Sciences | Year: 2012

An environment friendly technique for green synthesis of gold nanoparticles has been developed using the flower extract of Tagetes Erecta as reducing agent for reduction of Au3+ in aqueous solution. The nanoparticles obtained were characterized by UV-visible spectroscopy. The UV- visible spectra indicate a strong Plasmon resonance that is located at ~500 nm. The morphology and size of the biologically synthesized gold nanoparticles were determined using TEM. The images clearly show that the average size of the nanotriangles is about 200 nm, while, the spherical like particles show very small size about 8-10 nm. The antimicrobial activities of obtained gold particles have been studied with antibiotic, which show more inhibitory zones than the standard antibiotics. Source


Nagaraj B.,Shridevi Institute of Engineering and Technology | Krishnamurthy N.B.,Shridevi Institute of Engineering and Technology | Liny P.,Shridevi Institute of Engineering and Technology | Divya T.K.,Shridevi Institute of Engineering and Technology | Dinesh R.,International Advanced Research Center for Powder Metallurgy And New Materials
International Journal of Pharma and Bio Sciences | Year: 2011

The synthesis of eco-friendly nanoparticles is evergreen branch of nanoscience for biomedical application. Low cost of synthesis and non toxicity are the main features which make it more attractive potential option for biomedical field. Here, we report the synthesis of gold nanoparticles in aqueous medium using flower extracts of Ixora coccinea (Chetty flower) as reducing and stabilizing agent. On treating chloroauric acid solution with extract, rapid reduction of chloroaurate ions is observed leading to the formation of the highly stable gold nanoparticles in solution. The synthesized nanoparticles are confirmed by color changes and it has been characterized by UV-visible spectroscopy. The UV- visible spectra indicate a strong Plasmon resonance that is located at ~550 nm. Presence of this strong broad plasmon peak has been well documented for various Me- NPs, with sizes ranging all the way from 2 to 100 nm. The morphology and size of the biologically synthesized gold nanoparticles were determined using TEM. The images clearly show that the average size of the nanotriangles is about 200 nm, while, the spherical like particles show very small size about 5-10 nm. The study also shows that gold nanoparticles with antibiotic show more inhibitory zones than compared to the standard antibiotics. Source

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