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Articles by M. Vijayaraj
Total Records ( 2 ) for M. Vijayaraj
  R. Murugesan , M. Vijayaraj and K. Vetrivel
  World looks more from wireless sensor network and the technology growth support for many things on the fly. We bothered at sinkhole attack generated on MANET and the quality of service which gets affected and disturbed. The success of network services only based on the quality of service metrics like throughput packet delivery ration, latency and many more. The problem of region based sinkhole detection is unhandled in the literature. We propose a sinkhole detection and mitigation mechanism to reduce the overhead generated by employing sinkhole detection at all the regions of the network. At first, the presence of sinkhole attack is identified using a novel method and then the region affected by sinkhole attack is identified and identified region is recovered using a light weight sinkhole detection mechanism. The proposed method works in centralized nature and overcomes the problem of deploying sinkhole detection process in distributed manner. The base station of the network maintains location information of all the nodes using which it computes the region and identifies the subset of nodes present in the affected region. The proposed method has been aimed at efficient energy utilization and increased throughput which have been achieved at higher ratio.
  M. Subbulakshmi and M. Vijayaraj
  Researchers consider the problem of embedding one signal within another host signal to form a third, “composite” signal. The embedding is calculated to achieve among the three conflicting goals of reduce the distortion, increase the information-embedding rate, between the host and composite signal and improve the robustness of the embedding. We introduce new modules of embedding methods, termed Normalized Correlation based Quantization Index Modulation (NCQIM) Combined with Least Significant Bit (LSB) and Discrete Cosine Transform (DCT) techniques and improve suitable realizations. The proposed method is simulated on different images and the watermark imperceptibility is achieved by using the parameter Peak Signal to Noise Ratio (PSNR). The robustness is increased by reducing Bit Error Rate (BER). This proposed technique achieves high embedding capacity in high noise environment, high robustness when compared to conventional Quantization Index Modulation (QIM) methods.
 
 
 
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