Hybrid Domain Steganography for Embedding DES Encrypted QR Code Using Random Bit Binary Search

Steganography is a technology used for hiding the digital information into an electronic document so that it can be used only by the authorized entity and not available to trespassers. In the recent era, QR code is used versatile in all the applications. The data capacity of QR code is more as the information is codified in the form of image. Image Steganography can be achieved in spatial, transformation or hybrid domain. In this paper, a novel hybrid domain Steganography is employed for embedding encrypted QR code image in Source Image to get stego Image using Discrete Wavelet Transforms and Random Bit Binary Search (DWT - RBBS) technique. The information is encrypted using DES encryption algorithm and is codified to QR code image. This QR code image is then embedded into the source image using DWT-RBBS technique resulting in multiple level of security

MIPSOE–Markov Integrated PSO Encryption Algorithm for Secure Data Aggregation

Various clustering algorithm exists in Wireless Sensor Networks concerned on balancing energy utilization. Many research issues deviate towards the formation of clusters based on energy, distance, and another sensor node’s resource parameters. In this article, the proposed protocol is composed of two phases. In the first phase, clusters are formed based on Particle Swarm Optimization and Markov’s Random Field mathematical calculation. The second phase generates a key, where the secret key is used for encryption technique. The proposed protocol is implemented in the NS2 simulator. When comparing the existing protocol with the proposed MIPSOE protocol it is inferred that there is an improvement in terms of network lifetime, throughput, delay, and packet delivery ratio

DMHCET: Detection of Malicious Node for Hierarchical Clustering based on Energy Trust in Wireless Sensor Network

Wireless Sensor Networks are inhibited with the energy consumption and major role plays in improving the network lifetime. The hierarchical cluster zone formation helps in improving its lifetime of the network. The proposed work employs low energy clustering and hierarchical protocols that aims at providing secure path when the network is exposed to malicious attacks and shows improvement in QoS metrics like throughput, Packet Delivery Ratio, Routing Overhead and Network Lifetim

Effect of Elicitors treated callus of Baliospermum montanum (Willd.) Muell. Arg. on cell cycle arrest and apoptosis in HEP-2 and PC-3 cells

To investigate the anticancer effect of methanolic leaf and elicitor treated callus extracts of Baliospermum montanum against Hep-2 and PC-3 cells. Different doses (320µg/ml to 10µg/ml) of extracts were treated and viability of cells was measured by MTT assay. The cell cycle arrest were analyzed by flow cytometry. Apoptosis was evaluated using annexin V apoptosis detection kit and AO/EB staining. The methanolic extract of elicitor treated callus showed dose dependent inhibition against Hep-2 and PC-3 cells compared to leaf extract. The flow cytometry analysis showed that leaf extract induced apoptosis and arrest the cell cycle in the G0/G1 phase against Hep-2 cells. Whereas in PC-3 cells, methanolic extracts of leaf and treated callus showed significant results by arresting the cells in S and G2/M phase. Our study suggest that the methanolic extracts of treated callus showed potential anticancer activity through cell cycle arrest and apoptosis in Hep-2 and PC-3 cells

Awareness of IPR and Plagiarism Issues among Research Scholars of Bangalore University: A Case Study

Where the Current society is looking eagle eye on productive expansion for the ecological Growth, in task of Intellectual property rights are more influenced and recommended for the revolution of Information and Communication Technology. The copyright act has been depicted more seriously in predominant on Academic Institutions for research work and publications. The Scholarly writing or academic writing is one of the major criteria for quality research, in the present knowledge society. Where all the scholarly contents and Intellectual output of the host Institutes are facing difficulties while producing the quality of research. Where in researchers should have elementary knowledge about various Intellectual Property Rights (IPR) and related issues. Flow of content is the preliminary Understanding for the IPR Regulations and sustenance, the research scholars are the main notice for extraction of relevant information from the Universe with regards to plagiarism issues. In observation of this study leads, low rate of participation of research scholars in IPR, is a major issue for the success of IPR Knowledge. Lack of awareness and confusion about copyright issues are the known barriers in research scholar’s participation and their understandings. This paper reports the results of a survey among Research Scholars of Bangalore University and covering about different aspects of IPR

Carbon Nanotube Reinforced Metal Matrix Composites by Powder Metallurgy: A Review

This Review paper mainly focuses on the processing technique of carbon nanotube reinforced materials with light material matrix composites of the powder metallurgy route. Different mixing/alloying conditions are used for carbon nanotube dispersion (CNT) in the Aluminium matrix using a ball milling process with ball milling time, milling speed, Ball to powder (BPR) ratio, and Process control agent (PCA). Processing parameters are discussed, such as sintering temperature, sintering time, pressure, and heat treatment condition. Mechanical and microstructural properties are discussed

IR-FF-GSO: Image Retrieval using Feature Fusion and Glowworm Swarm Optimization

Image retrieval plays an important role in the Digital imaging and media such as image classification, photography, medical imaging etc., in which the obtained information is crucial for the analysis of images. Extraction of representative features is a challenge due to the variations in geometric, photometric image features. The feature fusion process affords compact discriminative features of an image; this crucial information requires in analysing images accurately to increase the accuracy. Hence, Image Retrieval using feature fusion and Glowworm Swarm Optimization (IR-FF-GSO) is proposed. Multiple features are extracted with Texture, Color, Statistical and Scale Invariant Feature Transform (SIFT) descriptors to perform retrieval process. Feature vector is fused using optimized weight value which is obtained from GSO algorithm. The proposed method yields 95.5% retrieval accuracy on ImageNet database and is

[HTML] from springer.com CRUPA: collusion resistant user revocable public auditing of shared data in cloud

Cloud repository is one of the most important services afforded by Cloud Computing where information is preserved, maintained, archived in distant servers and made available to the users over the Internet. Provided with the cloud repository facilities, customers can organize themselves as a cluster and distribute information with one another. In order to allow public integrity auditing on the information stored in semi-trusted cloud server, customers compute the signatures for every chunk of the shared information. When a malicious client is repudiated from the group, the chunks that were outsourced to the cloud server by this renounced customer need to be verified and re-signed by the customer present in the cluster (i.e., the straightforward approach) which results in huge transmission and reckoning cost for the customer. In order to minimize the burden of customers present in the cluster, in the existing scheme

Energy aware resource allocation and complexity reduction approach for cognitive radio networks using game theory

Nowadays, the demand for mobile wireless communication systems has increased drastically due to its significant use for various real-time applications. This increased demand for communication causes heavy utilization of the radio spectrum to improve ubiquitous computing services. However, systems providing high-speed communication fail to achieve the desired performance due to unsystematic spectrum utilization and resources. The problem addressed by Cognitive Radio Network (CRN) architecture has attracted research and industrial community to enhance the real-time communication systems. Although CRN based real-time communication systems suffer from resource allocation, spectrum sensing, and power consumption issues. In this paper, we introduce a novel approach for resource allocation and sharing based on cooperative game theory, and cooperative node selection ensures maximized

Chelated Zn–Metal–Organic Frameworks: Synthesis, Crystal Structure and Electrochemical Energy Storage

We have successfully synthesized the chelated Zn-EDTA metal–organic framework (Zn–MOF) by an eco-friendly hydrothermal route at 160 °C. The product obtained was confirmed by techniques such as ATRIR, SEM, SXRD, TGA, and BET. High stability, homogeneous topology, and significant surface area are the notable properties, which have been studied. The electrochemical redox behavior property of the as-prepared Zn–MOF electrode was investigated in 0.005 M K4Fe(CN)6 solution by Cyclic voltammetry. The CV nature obtained by the Zn–MOF electrode implies the typical battery act from the surface redox reaction. The chelated Zn–MOF electrode has been subjected to charge–discharge study to find out the specific capacity of the Zn–MOF electrode in KOH solution different temperatures and also in mixed electrolyte separately. Higher specific capacity of the Zn–MOF electrode about 243.2 mA hg-1 was found at room temperature in 0.1 M KOH at 1 Ag-1. Also, excellent capacity about 589.28 mA hg-1 was observed in mixed electrolytes. The Zn–MOF to be a promising candidate for energy (gas) storage application