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Data security is utmost important for ubiquitous computing of medical/diagnostic data or images. Along with must consider preserving privacy of patients. Recently, deoxyribose nucleic acid (DNA) sequences and chaotic sequence are jointly used for building efficient data masking model. However, the state-of-art model are not robust against noise and cropping attack (CA). Since in existing model most digits of each pixel are not altered. This work present efficient data masking (EDM) method using chaos and DNA based encryption method for securing health care data. For overcoming research challenges effective bit scrambling method is required. Firstly, this work present an efficient bit scrambling using logistic sine map and pseudorandom sequence using chaotic system. Then, DNA substitution is performed among them to resist against differential attack (DA), statistical attack (SA) and CA. Experiment are conducted on standard considering diverse images. The outcome achieved shows proposed model efficient when compared to existing models.

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Wireless Communications is one of the fastest growing segments in the communications industry. Wireless Network is the network that facilitates communication among two or more devices connected through the standard network protocols, without network cabling. Due to the battery constrained the network performance will get reduced i.e. If the energy of the wireless sensor node (WSN's) is drained, recharging of the sensor nodes in unattended environment is very difficult. As WSN nodes are usually battery-powered devices, the important and most critical aspects to face concern is how to reduce the energy consumption of WSN nodes, so that the network lifetime can be enhanced to an extent. Routing the Data in sensor nodes plays a vital role in transferring the data to the base station (BS). Different types of routing algorithm have been used such multihopping, grid based, hierarchical based and clustering based such LEACH, HEED etc... In this we have focused on incorporating clustering technique based on evolutionary technique namely ICA cluster optimization to improve the lifetime of the sensor nodes. We compare our proposed clustering model with LEACH protocol and analyze its efficiency. General TermsImperialist competitive algorithm cluster optimization (ICACO), challenges , clustering technique